Joakim Lindblad's homepage

IN PROCESS/RECENT

• E. Breznik, E. Wetzer, J. Lindblad, and N. Sladoje. Cross-modality sub-image retrieval using contrastive multimodal image representations. Scientific Reports 14, 18798, 2024. doi: 10.1038/s41598-024-68800-1 Open Access
  arXiv preprint: arXiv:2201.03597 [cs.CV]
  Code available at github.com/MIDA-group/CrossModal_ImgRetrieval
• W. Lian, J. Lindblad, C. Runow Stark, J-M. Hirsch, N. Sladoje. Let it shine: Autofluorescence of Papanicolaou-stain improves AI-based cytological oral cancer detection. Computers in Biology and Medicine, Vol 185, 109498, 2025. doi:10.1016/j.compbiomed.2024.109498 Open Access
  arXiv preprint: arXiv:2407.01869 [eess.IV]
• N. Koriakina, N. Sladoje, V. Bašić, and J. Lindblad. Deep multiple instance learning versus conventional deep single instance learning for interpretable oral cancer detection. PLoS ONE 19(4): e0302169, 2024. doi:10.1371/journal.pone.0302169 Open Access
  arXiv preprint: arXiv:2202.01783 [eess.IV]
  Code available at github.com/MIDA-group/OralCancerMILvsSIL
• C. Swarnadip, O. Göksel, N. Sladoje, and J. Lindblad. Detection of Extremely Sparse Key Instances in Whole Slide Cytology Images via Self-supervised One-class Representation Learning. In Proceedings of the 27th International Conference on Pattern Recognition (ICPR), LNCS-15327, pp. 408-421, Kolkata, India, Dec. 2024. doi:10.1007/978-3-031-78398-2_27
• M. Fraile, N. Calvo-Barajas, A.S. Apeiron, G. Varni, J. Lindblad, N. Sladoje, G. Castellano. UpStory: the Uppsala Storytelling dataset.
  arXiv preprint: arXiv:2407.04352 [cs.HC]
• P.S. Rudraiah, R. Camacho, et al. Correlated multimodal imaging in life sciences: lessons learnt. REVIEW article. Frontiers in Biomaterials Science, Vol. 3, 2024. doi: 10.3389/fbiom.2024.1338115 Open Access
• C. Zhang, A. Gaignard, M. Kalas, F. Levet, F. Delestro, J. Lindblad, et al. Bio-Image Informatics Index BIII: A unique database of image analysis tools and workflows for and by the bioimaging community
  arXiv preprint arXiv:2312.11256 [q-bio.QM]
• J-M. Hirsch, R. Sandy, B. Hasséus, and J. Lindblad. A paradigm shift in the prevention and diagnosis of oral squamous cell carcinoma. Journal of Oral Pathology & Medicine, Vol. 52, No. 9, pp. 826-833, 2023. doi:10.1111/jop.13484 Open Access
• J. Lindblad, J. Davies, C. Dahlström, R. Sandy, B. Hasséus, J-M. Hirsch. AI, biomarkörer och precisionsmedicin banar väg för paradigmskifte inom tandvården (Artificial intelligence, biomarkers and precision medicine, a paradigm shift in the prevention, diagnosis and treatment in oral diseases). Tandläkartidningen, Vol. 115, No. 9, pp. 74-80, 2023.
• K. Edman, C. Runow Stark, V. Basic, J. Lindblad, J-M. Hirsch. Dental hygienists and dentists as providers of brush biopsies for oral mucosa screening. International Journal of Dental Hygiene, Vol. 21, No. 3, pp. 524-532, 2023. doi:10.1111/idh.12713 Open Access
• E. Wetzer, J. Lindblad, and N. Sladoje. Can representation learning for multimodal image registration be improved by supervision of intermediate layers? 11th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), 2023 LNCS-14062, pp. 261-275, Alicante, Spain, June 2023. doi: 10.1007/978-3-031-36616-1_21
  arXiv preprint: arXiv:2303.00403 [cs.CV]
• J. Öfverstedt, J. Lindblad, and N. Sladoje. INSPIRE: Intensity and Spatial Information-Based Deformable Image Registration. PLoS ONE 18(3): e0282432, 2023. doi:10.1371/journal.pone.0282432 Open Access
  arXiv preprint: arXiv:2012.07208 [cs.CV]
  Code available at github.com/MIDA-group/inspire
• L. Nordling, J. Öfverstedt, J. Lindblad, N. Sladoje. Contrastive Learning of Equivariant Image Representations for Multimodal Deformable Registration. In Proceedings of the 20th IEEE International Symposium on Biomedical Imaging (ISBI), IEEE, pp. 1-5, Cartagena, Colombia, April 2023. doi:10.1109/ISBI53787.2023.10230465
  Code available at github.com/MIDA-group/CoMIR_INSPIRE
• G. Volpe, C. Wählby, et al. Roadmap on Deep Learning for Microscopy.
  arXiv preprint arXiv:2303.03793 [physics.optics]
• M. Fraile, C. Fawcett, J. Lindblad, N. Sladoje, and G. Castellano. End-to-End Learning and Analysis of Infant Engagement During Guided Play: Prediction and Explainability. 24th ACM International Conference on Multimodal Interaction (ICMI), pp 444-454, Bangalore, India, Nov. 2022. doi:10.1145/3536221.3556629 Open Access
  Code available at github.com/MarcFraile/infant-engagement
• J. Öfverstedt, J. Lindblad, and N. Sladoje. Fast computation of mutual information in the frequency domain with applications to global multimodal image alignment. Pattern Recognition Letters, Vol. 159, pp. 196-203, 2022. doi:10.1016/j.patrec.2022.05.022 Open Access
  arXiv preprint: arXiv:2106.14699 [cs.CV], [eess.IV]
  Code available at github.com/MIDA-group/globalign
• A. Andersson, N. Koriakina, N. Sladoje, and J. Lindblad. End-to-end Multiple Instance Learning with Gradient Accumulation. IEEE International Conference on Big Data (Big Data), pp. 2742-2746, Osaka, Japan, Dec. 2022. doi:10.1109/BigData55660.2022.10020801
  arXiv preprint: arXiv:2203.03981 [cs.CV]
  Code available at github.com/axanderssonuu/ABMIL_with_accumulating_gradients
• J. Lu, J. Öfverstedt, J. Lindblad, and N. Sladoje. Is Image-to-Image Translation the Panacea for Multimodal Image Registration? A Comparative Study. PLoS ONE 17(11): e0276196, 2022. doi:10.1371/journal.pone.0276196 Open Access
  arXiv preprint: arXiv:2103.16262 [eess.IV], [cs.CV]
  Code available at github.com/MIDA-group/MultiRegEval
• C. Rydell and J. Lindblad. CytoBrowser: a browser-based collaborative annotation platform for whole slide images. F1000Research 2021, 10:226. doi:10.12688/f1000research.51916.1 Open Access
  Code available at github.com/MIDA-group/CytoBrowser

BOOKS, BOOK CHAPTERS AND EDITORIALS

• Eds. F. Malmberg, J. Lindblad, and N. Sladoje. Special Issue on Discrete Geometry and Mathematical Morphology. Journal of Mathematical Imaging and Vision. Vol. 67, No. 7, 2022.
  Guest Editorial: Discrete Geometry and Mathematical Morphology. JMIV. Vol. 67, No. 7, pp. 691-692, 2022. 10.1007/s10851-022-01117-8
• Eds. J. Lindblad, F. Malmberg, and N. Sladoje. Discrete Geometry and Mathematical Morphology. 1st International Joint Conference, DGMM 2021, Proceedings. LNCS-12708, pp. 1-552, Uppsala, Sweden, May, 2021. doi:10.1007/978-3-030-76657-3
• N. Sladoje and J. Lindblad. "Introduction - Computer-Assisted Analysis of Multimodality Image Data". Book chapter in: Imaging Modalities for Biological and Preclinical Research: A Compendium, Volume 2 (Eds. A. Walter, J. Mannheim, C.J. Caruana), IPEM-IOP Series in Physics and Engineering in Medicine and Biology, Institute of Physics Publishing, Ch. 24, 2021. Online ISBN: 978-0-7503-3747-2, Print ISBN: 978-0-7503-3745-8. doi:10.1088/978-0-7503-3747-2
• N. Sladoje, J. Lindblad, and P. Paul-Gilloteaux. "Computer-assisted analysis of multimodal image data - perspectives and conclusion". Book chapter in: Imaging Modalities for Biological and Preclinical Research: A Compendium, Volume 2 (Eds. A. Walter, J. Mannheim, C.J. Caruana), IPEM-IOP Series in Physics and Engineering in Medicine and Biology, Institute of Physics Publishing, Ch. 30, 2021. Online ISBN: 978-0-7503-3747-2, Print ISBN: 978-0-7503-3745-8. doi:10.1088/978-0-7503-3747-2
• N. Sladoje and J. Lindblad. "The coverage model and its use in image processing". Book chapter in: Selected Topics on Image Processing and Cryptology (Ed. Miodrag Mihaljević), Zbornik Radova, No 15(23), pp. 39-117, Mathematical Institute of the Serbian Academy of Sciences and Arts, Belgrade, 2012. ISSN: 0351-9406, ISBN: 978-86-80593-47-0. On-line Open Access

PEER REVIEWED JOURNAL PUBLICATIONS

• N. Haj-Hosseini, J. Lindblad, B. Hasséus, V.V. Kumar, N. Subramaniam, J-M. Hirsch. Early Detection of Oral Potentially Malignant Disorders: A Review on Prospective Screening Methods with Regard to Global Challenges. Journal of Maxillofacial and Oral Surgery, Vol. 23, pp. 23-32, 2024. Published online: 15 April 2022. doi:10.1007/s12663-022-01710-9 Open Access
• J-M. Hirsch, N. Haj-Hosseini, C. Krüger Weiner, B. Hasséus, J. Lindblad. Icke-invasiv kontroll av cellförändringar i munslemhinnan (Non-invasive control of cell changes in the oral mucosa). Tandläkartidningen, Vol. 113, No. 9, pp. 48-55, 2021.
• J. Öfverstedt, J. Lindblad, and N. Sladoje. Stochastic Distance Transform: Theory, Algorithms and Applications. Journal of Mathematical Imaging and Vision. Vol. 62, pp. 751-769, 2020. doi:10.1007/s10851-020-00964-7 Open Access
• B. Bajić, T. Majtner, J. Lindblad, and N. Sladoje. Generalised Deep Learning Framework for HEp-2 Cell Recognition Using Local Binary Pattern Maps. IET Image Processing, Vol. 14, No. 6, pp. 1201-1208, 2020. doi:10.1049/iet-ipr.2019.0705 Open Access
• J. Öfverstedt, J. Lindblad, and N. Sladoje. Fast and Robust Symmetric Image Registration Based on Distances Combining Intensity and Spatial Information. IEEE Transactions on Image Processing, Vol. 27, No. 7, pp. 3584-3597, 2019. doi:10.1109/TIP.2019.2899947 Open Access
  arXiv preprint: arXiv:1807.11599 [cs.CV]
  Code available at github.com/MIDA-group/itkAlphaAMD and github.com/MIDA-group/py_alpha_amd_release
• B. Bajić, J. Lindblad, N. Sladoje. Sparsity promoting super-resolution coverage segmentation by linear unmixing in presence of blur and noise. Journal of Electronic Imaging (SPIE), Vol. 28, No. 1, 013046, 2019. doi:10.1117/1.JEI.28.1.013046
• B. Bajić, J. Lindblad, N. Sladoje. Restoration of images degraded by signal-dependent noise based on energy minimization: an empirical study. Journal of Electronic Imaging (SPIE), Vol. 25, No. 4, 043020, 2016. doi:10.1117/1.JEI.25.4.043020
• S. Dražić, N. Sladoje, J. Lindblad. Estimation of Feret's Diameter from Pixel Coverage Representation of a Shape. Pattern Recognition Letters, Vol. 80, pp. 37-45, 2016. doi:10.1016/j.patrec.2016.04.021
• V. Ilić, J. Lindblad, N. Sladoje. Precise Euclidean distance transforms in 3D from voxel coverage representation. Pattern Recognition Letters, Vol. 65, pp. 184-191, 2015. doi:10.1016/j.patrec.2015.07.035
• A. Tanács, J. Lindblad, N. Sladoje, and Z. Kato. Estimation of Linear Deformations of 2D and 3D Fuzzy Objects. Pattern Recognition, Vol 48, No. 4, pp. 1387-1399, 2015. doi:10.1016/j.patcog.2014.10.006
• J. Lindblad and N. Sladoje. Linear time distances between fuzzy sets with applications to pattern matching and classification. IEEE Transactions on Image Processing, Vol. 23, No. 1, pp. 126-136, 2014. doi:10.1109/TIP.2013.2286904
• V. Ćurić, J. Lindblad, N. Sladoje, H. Sarve, and G. Borgefors. A new set distance and its application to shape registration. Pattern Analysis and Applications, Vol 17, No. 1, pp 141-152, 2014. doi:10.1007/s10044-012-0290-x
• M. Gavrilovic, J. C. Azar, J. Lindblad, C. Wählby, E. Bengtsson, C. Busch, and I. B. Carlbom. Blind Color Decomposition of Histological Images. IEEE Transactions on Medical Imaging, Vol. 32, No. 6, pp. 983-994, 2013. doi:10.1109/TMI.2013.2239655 Open Access
• J. Lindblad and N. Sladoje. Coverage Segmentation Based on Linear Unmixing and Minimization of Perimeter and Boundary Thickness. Pattern Recognition Letters, Vol. 33, No. 6, pp. 728-738, 2012. doi:10.1016/j.patrec.2011.12.014
• T. Lukić, J. Lindblad, and N. Sladoje. Regularized image denoising based on spectral gradient optimization. Inverse Problems, Vol. 27, No. 8, pp. 085010, 2011. doi:10.1088/0266-5611/27/8/085010
• F. Malmberg, J. Lindblad, C. Östlund, K.M. Almgren, E.K. Gamstedt. Measurement of fibre-fibre contact in three-dimensional images of fibrous materials obtained from X-ray synchrotron microtomography. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 637, No 1, pp. 143-148, 2011. doi:10.1016/j.nima.2011.01.080
• H. Sarve, J. Lindblad, G. Borgefors, and C.B. Johansson. Extracting 3D Information on Bone Remodeling in the Proximity of Titanium Implants in SRµCT Image Volumes. Computer Methods and Programs in Biomedicine, Vol. 102, No 1, pp. 25-34, 2011. doi:10.1016/j.cmpb.2010.12.011
• F. Malmberg, J. Lindblad, N. Sladoje, and I. Nyström. A Graph-based Framework for Sub-pixel Image Segmentation. Theoretical Computer Science, Vol. 412, No 15, pp. 1338-1349, 2011. doi:10.1016/j.tcs.2010.11.030 Open Access
• N. Sladoje, J. Lindblad, and I. Nyström. Defuzzification of spatial fuzzy sets by feature distance minimization. Image and Vision Computing, Vol. 29, No 2-3, pp. 127-141, 2011. doi:10.1016/j.imavis.2010.08.007
• A. Cristea, R. Qaisar, P. Karlsson Edlund, J. Lindblad, E. Bengtsson, and L. Larsson. Effects of aging and gender on the spatial organization of nuclei in single human skeletal muscle cells. Aging Cell, Vol. 9, No 5, pp. 685-697, 2010. doi:10.1111/j.1474-9726.2010.00594.x Open Access
• A. Cristea, P. Karlsson Edlund, J. Lindblad, R. Qaisar, E. Bengtsson, and L. Larsson. Effects of ageing and gender on the spatial organization of nuclei in single human skeletal muscle cells. Neuromuscular Disorders, Vol. 19, No. 8, pp. 605-606, 2009. doi:10.1016/j.nmd.2009.06.196
• K.M. Almgren, E.K. Gamstedt, P. Nygård, F. Malmberg, J. Lindblad, and M. Lindström. Role of fibre-fibre and fibre-matrix adhesion in stress transfer in composites made from resin-impregnated paper sheets. International Journal of Adhesion and Adhesives. Vol. 29, No. 5, pp. 551-557, 2009. doi:10.1016/j.ijadhadh.2008.11.002
• N. Sladoje and J. Lindblad. High-Precision Boundary Length Estimation by Utilizing Gray-Level Information. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 31, No. 2, pp. 357-363, 2009. doi:10.1109/TPAMI.2008.184
  [See also Tech. Rep. 33: Perimeter estimation based on grey level object representation]
• J. Liu, A.-S. Höglund, P. Karlsson, J. Lindblad, R. Qaisar, S. Aare, E. Bengtsson, and L. Larsson. Myonuclear domain size and myosin isoform expression in muscle fibers from mammals representing a 100,000-fold difference in body size. Experimental Physiology, Vol. 94, No. 1, pp. 117-129, 2009. doi:10.1113/expphysiol.2008.043877 Open Access
• N. Sladoje and J. Lindblad. Representation and Reconstruction of Fuzzy Disks by Moments. Fuzzy Sets and Systems, Vol. 158, No. 5, pp. 517-534, 2007. doi:10.1016/j.fss.2006.09.017
• J. Lindblad. Surface Area Estimation of Digitized 3D Objects using Weighted Local Configurations. Image and Vision Computing, Vol. 23, No. 2, pp. 111-122, 2005. doi:10.1016/j.imavis.2004.06.012
• E. Bengtsson, C. Wählby, and J. Lindblad. Robust Cell Image Segmentation Methods. Pattern Recognition and Image Analysis, Vol. 14, No. 2, pp. 157-167, 2004. Abstract, pdf
• J. Lindblad, C. Wählby, E. Bengtsson, and A. Zaltsman. Image Analysis for Automatic Segmentation of Cytoplasms and Classification of Rac1 Activation, Cytometry Part A 57A(1):22-33, 2004. doi:10.1002/cyto.a.10107 Free Access
• C. Wählby, J. Lindblad, M. Vondrus, E. Bengtsson, and L. Björkesten. Algorithms for cytoplasm segmentation of fluorescence labeled cells. Analytical Cellular Pathology, 24(2,3):101-111, 2002. doi:10.1155/2002/821782 Open Access

PEER REVIEWED CONFERENCE PUBLICATIONS

• J. Öfverstedt, J. Lindblad, and N. Sladoje. Cross-Sim-NGF: FFT-Based Global Rigid Multimodal Alignment of Image Volumes using Normalized Gradient Fields. 10th International Workshop on Biomedical Image Registration (WBIR), LNCS-13386, pp. 156-165, Munich, Germany, July 2022. doi:10.1007/978-3-031-11203-4_17
  arXiv preprint: arXiv:2110.10156 [eess.IV], [cs.CV]
  Code available at https://github.com/mida-group/cross_sim_ngf
• K. Bengtsson Bernander, J. Lindblad, R. Strand, I. Nyström. Rotation-Equivariant Semantic Instance Segmentation on Biomedical Images. In Proceedings of the 26th Conference on Medical Image Understanding and Analysis (MIUA), LNCS-13413, pp. 283-297, Cambridge, UK, July 2022. doi:10.1007/978-3-031-12053-4_22
• M. Fraile, J. Lindblad, C. Fawcett, N. Sladoje, and G. Castellano. Automatic analysis of infant engagement during play: An end-to-end learning and Explainable AI pilot experiment. In Proceedings of ICMI Workshop on Bridging Social Sciences and AI for Understanding Child Behavior (WoCBU), (ICMI '21 Companion) pp. 403-407, New York, NY, USA, Dec. 2021. doi:10.1145/3461615.3485443 Free Access
• N. Koriakina, J. Lindblad, and N. Sladoje. The Effect of Within-Bag Sampling on End-to-End Multiple Instance Learning. In Proceedings of the 12th IEEE International Symposium on Image and Signal Processing and Analysis (ISPA), IEEE, pp. 183-188, Zagreb, Croatia, Sept. 2021. doi:10.1109/ISPA52656.2021.9552170
  Code available at https://github.com/MIDA-group/SampledABMIL
• K. Bengtsson Bernander, J. Lindblad, R. Strand, I. Nyström. Replacing data augmentation with rotation-equivariant CNNs in image-based classification of oral cancer. In Proceedings of the 25th Iberoamerican Congress on Pattern Recognition (CIARP), LNCS-12702, pp. 24-33, Porto, Portugal, May 2021. doi:10.1007/978-3-030-93420-0_3
• N. Pielawski, E. Wetzer, J. Öfverstedt, J. Lu, C. Wählby, J. Lindblad, N. Sladoje. CoMIR: Contrastive Multimodal Image Representation for Registration. In Advances in Neural Information Processing Systems (NeurIPS), Vol. 33, pp. 18433-18444. 2020. Open Access
  arXiv preprint: arXiv:2006.06325 [cs.CV], [cs.LG], [eess.IV]
  Code available at github.com/MIDA-group/CoMIR
• E. Wetzer, J. Gay, H. Harlin, J. Lindblad, and N. Sladoje. When texture matters: Texture-focused CNNs outperform general data augmentation and pretraining in Oral Cancer Detection. In Proceedings of the 17th IEEE International Symposium on Biomedical Imaging (ISBI), IEEE, pp. 517-521, Iowa City, USA, April 2020. doi:ISBI45749.2020.9098424
• J. Lu, N. Sladoje, C. Runow Stark, E. Darai Ramqvist, J-M. Hirsch, J. Lindblad. A Deep Learning based Pipeline for Efficient Oral Cancer Screening on Whole Slide Images. In Proceedings of the 17th International Conference on Image Analysis and Recognition (ICIAR), LNCS-12132, pp. 249-261, Póvoa de Varzim, Portugal, June 2020. doi:10.1007/978-3-030-50516-5_22
  arXiv preprint: arXiv:1910.10549 [eess.IV], [cs.CV]
  Code available at github.com/MIDA-group/OralScreen
• T. Majtner, B. Bajić, J. Lindblad, N. Sladoje, V. Blanes-Vidal, and E.S. Nadimi. On the Effectiveness of Generative Adversarial Networks as HEp-2 Image Augmentation Tool. In Proceedings of the 21st Scandinavian Conference on Image Analysis (SCIA), LNCS-11482, pp. 439-451, Norrköping, Sweden, June, 2019. doi:10.1007/978-3-030-20205-7_36
• J. Öfverstedt, J. Lindblad, and N. Sladoje. Stochastic Distance Transform. In Proceedings of the 21th international conference on Discrete Geometry for Computer Imagery (DGCI), LNCS-11414, pp. 75-86, Paris, France, March 2019. doi:10.1007/978-3-030-14085-4_7
  arXiv preprint: arXiv:1810.08097 [cs.CV]
  Code available at github.com/MIDA-group/sdt
• E. Wetzer, J. Lindblad, I-M. Sintorn, K. Hultenby, and N. Sladoje. Towards automated multiscale imaging and analysis in TEM: Glomerulus detection by fusion of CNN and LBP maps. In European Conference on Computer Vision (ECCV), Workshop on BioImage Computing, Munich, Germany, Sept. 2018. LNCS-11134, pp. 465-475, 2019. doi:10.1007/978-3-030-11024-6_36
• B. Bajić, A. Suveer, A. Gupta, I. Pepić, J. Lindblad, N. Sladoje, I-M. Sintorn. Denoising of Short Exposure Transmission Electron Microscopy Images for Ultrastructural Enhancement. In Proceedings of the 15th IEEE International Symposium on Biomedical Imaging (ISBI), IEEE, pp. 921-925, Washington, D.C, USA, April 2018. doi:10.1109/ISBI.2018.8363721
• A. Gupta, A. Suveer, J. Lindblad, A. Dragomir, I-M. Sintorn, N. Sladoje. Convolutional Neural Networks for False Positive Reduction of Automatically Detected Cilia in Low Magnification TEM Images. In Proceedings of the 20th Scandinavian Conference on Image Analysis (SCIA), Part I, LNCS-10269, pp. 407-418, Tromsø, Norway, June 2017. doi:10.1007/978-3-319-59126-1_34
• M. Bombrun, P. Ranefall, J. Lindblad, A. Allalou, G. Partel, L. Solorzano, X. Qian, M. Nilsson, C. Wählby. Decoding gene expression in 2D and 3D. In Proceedings of the 20th Scandinavian Conference on Image Analysis (SCIA), Part II, LNCS-10270, pp. 257-268, Tromsø, Norway, June 2017. doi:10.1007/978-3-319-59129-2_22
• A. Suveer, N. Sladoje, J. Lindblad, A. Dragomir, I-M. Sintorn. Enhancement of Cilia Sub-structures by Multiple Instance Registration and Super-resolution Reconstruction. In Proceedings of the 20th Scandinavian Conference on Image Analysis (SCIA), Part II, LNCS-10270, pp. 362-374, Tromsø, Norway, June 2017. doi:10.1007/978-3-319-59129-2_31
• N. Sladoje and J. Lindblad. Distance Between Vector-valued Representations of Objects in Images with Application in Object Detection and Classification. In Proceedings of the 18th International Workshop on Combinatorial Image Analysis (IWCIA), LNCS-10256, pp. 243-255, Plovdiv, Bulgaria, June 2017. doi:10.1007/978-3-319-59108-7_19
• J. Öfverstedt, N. Sladoje, J. Lindblad. Distance Between Vector-valued Fuzzy Sets based on Intersection Decomposition with Applications in Object Detection. In Proceedings of the 13th International Symposium on Mathematical Morphology (ISMM), LNCS-10225, pp. 395-407, Fontainebleau, France, May 2017. doi:10.1007/978-3-319-57240-6_32
• B. Bajić, J. Lindblad, N. Sladoje. Single image super-resolution reconstruction in presence of mixed Poisson-Gaussian noise. In Proceedings of the 6th IEEE International Conference on Image Processing Theory, Tools and Applications (IPTA), IEEE, Oulu, Finland, Dec. 2016. doi:10.1109/IPTA.2016.7820962 - Awarded as one of the "Best Reviewed Papers".
• B. Bajić, J. Lindblad, N. Sladoje. Blind Restoration of Images Degraded with Mixed Poisson-Gaussian Noise with Application in Transmission Electron Microscopy. In Proceedings of the 13th IEEE International Symposium on Biomedical Imaging (ISBI), IEEE, pp. 123-127, Prague, Czech Republic, April 2016. doi:10.1109/ISBI.2016.7493226
• A. Suveer, N. Sladoje, J. Lindblad, A. Dragomir, and I-M. Sintorn. Automated Detection of Cilia in Low Magnification Transmission Electron Microscopy Images Using Template Matching. In Proceedings of the 13th IEEE International Symposium on Biomedical Imaging (ISBI), IEEE, pp. 386-390, Prague, Czech Republic, April 2016. doi:10.1109/ISBI.2016.7493289
• V. Ilić, J. Lindblad, N. Sladoje. Signature of a shape based on its pixel coverage representation. In Proceedings of the 19th international conference on Discrete Geometry for Computer Imagery (DGCI), LNCS-9647, pp. 181-193, Nantes, France, April 2016. doi:10.1007/978-3-319-32360-2_14
• J. Lindblad, N. Sladoje, A. Suveer, A. Dragomir, I-M. Sintorn. High-resolution reconstruction by feature distance minimization from multiple views of an object. In Proceedings of the 5th IEEE International Conference on Image Processing Theory, Tools and Applications (IPTA), IEEE, pp. 29-34, Orléans, France, Nov. 2015. doi:10.1109/IPTA.2015.7367090
• K. Lidayová, J. Lindblad, N. Sladoje, H. Frimmel, C. Wang, and Ö. Smedby. Coverage Segmentation of 3D Thin Structures. In Proceedings of the 5th IEEE International Conference on Image Processing Theory, Tools and Applications (IPTA), IEEE, pp. 23-28, Orléans, France, Nov. 2015. doi:10.1109/IPTA.2015.7367089
• M. Delić, J. Lindblad, and N. Sladoje. αLBP - a Novel Member of the Local Binary Pattern Family Based on α-cutting. In Proceedings of the 9th IEEE International Symposium on Image and Signal Processing and Analysis (ISPA), IEEE, pp. 13-18, Zagreb, Croatia, Sept. 2015. doi:10.1109/ISPA.2015.7306025
• J. Lindblad, E. Bengtsson, and N. Sladoje. Microscopy Image Enhancement for Cost-Effective Cervical Cancer Screening. In Proceedings of the 19th Scandinavian Conference on Image Analysis (SCIA), LNCS-9127, pp. 441-452, Copenhagen, Denmark, June 2015. doi:10.1007/978-3-319-19665-7_37
• J. Lindblad and N. Sladoje. Exact Linear Time Euclidean Distance Transforms of Grid Line Sampled Shapes. In Proceedings of the 12th International Symposium on Mathematical Morphology (ISMM), LNCS-9082, pp. 645-656, Reykjavik, Iceland, May 2015. doi:10.1007/978-3-319-18720-4_54
• B. Bajić, J. Lindblad, and N. Sladoje. An Evaluation of Potential Functions for Regularized Image Deblurring. In Proceedings Part I of the 11th International Conference on Image Analysis and Recognition (ICIAR), LNCS-8814, pp. 150-158, Vilamoura, Portugal, Oct. 2014. doi:10.1007/978-3-319-11758-4_17
• J. Lindblad, N. Sladoje, P. Malm, E. Bengtsson, R. Moshavegh, and A. Mehnert. Optimizing optics and imaging for pattern recognition based screening tasks. In Proceedings of the 22th International Conference on Pattern Recognition (ICPR), IEEE, pp. 3333-3338, Stockholm, Sweden, Aug. 2014. doi:10.1109/ICPR.2014.572
• K. Lidayová, J. Lindblad, N. Sladoje and H. Frimmel. Coverage segmentation of thin structures by linear unmixing and local centre of gravity attraction. In Proceedings of the 8th IEEE International Symposium on Image and Signal Processing and Analysis (ISPA), IEEE, pp. 83-88, Trieste, Italy, Sept. 2013. doi:10.1109/ISPA.2013.6703719
• S. Dražić, J. Lindblad, and N. Sladoje. Precise Estimation of the Projection of a Shape from a Pixel Coverage Representation. In Proceedings of the 7th IEEE International Symposium on Image and Signal Processing and Analysis (ISPA), IEEE, pp. 569-574, Dubrovnik, Croatia, Sept. 2011. On-line
• V. Ćurić, J. Lindblad, and N. Sladoje. Distance measures between digital fuzzy objects and their applicability in image processing. In Proceedings of the 14th International Workshop on Combinatorial Image Analysis (IWCIA), LNCS-6636, pp. 385-397, Madrid, Spain, May. 2011. doi:10.1007/978-3-642-21073-0_34
• A. Tanács, J. Lindblad, N. Sladoje, and Z. Kato. Estimation of linear deformations of 3D objects. In Proceedings of International Conference on Image Processing (ICIP), IEEE, pp. 153-156, Hong Kong, China, Sept. 2010. doi:10.1109/ICIP.2010.5650932
• H. Sarve, J. Lindblad, C.B. Johansson, and G. Borgefors. Methods for Visualization of Bone Tissue in the Proximity of Implants. Proceedings of the International Conference on Computer Vision and Graphics (ICCVG), LNCS-6375, pp. 243-250, Warsaw, Poland, Sept. 2010. doi:10.1007/978-3-642-15907-7_30
• J. Lindblad, N. Sladoje, and T. Lukić. De-noising of SRµCT Fiber Images by Total Variation Minimization. In Proceedings of the 20th International Conference on Pattern Recognition (ICPR), IEEE, pp. 4621-4624, Istanbul, Turkey, Aug. 2010. doi:10.1109/ICPR.2010.1116
• F. Malmberg, J. Lindblad, and I. Nyström. Sub-pixel Segmentation with the Image Foresting Transform. In Proceedings of the 13th International Workshop on Combinatorial Image Analysis (IWCIA), LNCS-5852, pp. 201-211, Playa del Carmen, Mexico, Nov. 2009. doi:10.1007/978-3-642-10210-3_16
• J. Lindblad, V. Ćurić, and N. Sladoje. On set distances and their application to image registration. In Proceedings of the 6th International Symposium on Image and Signal Processing and Analysis (ISPA), IEEE, pp. 449-454, Salzburg, Austria, Sept. 2009. doi:10.1109/ISPA.2009.5297672
• N. Sladoje, J. Lindblad. Pixel Coverage Segmentation for Improved Feature Estimation. In Proceedings of the 15th International Conference on Image Analysis and Processing (ICIAP), LNCS-5716, pp. 929-938, Vietri sul Mare, Italy, Sept. 2009. doi:10.1007/978-3-642-04146-4_99 Open Access
• J. Lindblad, N. Sladoje, V. Ćurić, H. Sarve, C.B. Johansson, and G. Borgefors. Improved quantification of bone remodelling by utilizing fuzzy based segmentation. In Proceedings of the 16th Scandinavian Conference on Image Analysis (SCIA), LNCS-5575, pp. 750-759, Oslo, Norway, June 2009. doi:10.1007/978-3-642-02230-2_77 Open Access
• H. Sarve, J. Lindblad, and C.B. Johansson. Quantification of Bone Remodeling in SRµCT Images of Implants. In Proceedings of the 16th Scandinavian Conference on Image Analysis (SCIA), LNCS-5575, pp. 770-779, Oslo, Norway, June 2009. doi:10.1007/978-3-642-02230-2_79 Open Access
• A. Tanács, C. Domokos, N. Sladoje, J. Lindblad, and Z. Kato. Recovering Affine Deformations of Fuzzy Shapes. In Proceedings of the 16th Scandinavian Conference on Image Analysis (SCIA), LNCS-5575, pp. 735-744, Oslo, Norway, June 2009. doi:10.1007/978-3-642-02230-2_75 Open Access
• K. Norell and J. Lindblad. Spatially-Variant Morphological Operations on Binary Images based on the Polar Distance Transform. In Proceedings of the 19th International Conference on Pattern Recognition (ICPR), IEEE, Tampa, USA, Dec. 2008. doi:10.1109/ICPR.2008.4761623
• H. Sarve, J. Lindblad, and C.B. Johansson. Registration of 2D Histological Images of Bone Implants with 3D SRµCT Volumes. In Proceedings of the 4th International Symposium on Advances in Visual Computing (ISVC), LNCS-5358, pp. 1071-1080, Las Vegas, USA, Dec. 2008. doi:10.1007/978-3-540-89639-5_102
• T. Lukić, N. Sladoje, J. Lindblad. Deterministic Defuzzification based on Spectral Projected Gradient Optimization. In Proceedings of the 30th Symposium of the German Association for Pattern Recognition (DAGM), LNCS-5096, pp. 476-485, Munich, Germany, June 2008. doi:10.1007/978-3-540-69321-5_48
• P. Karlsson Edlund and J. Lindblad. Non-uniform 3D distance transform for anisotropic signal correction in confocal image volumes of skeletal muscle cell nuclei. In Proceedings of the 5th IEEE International Symposium on Biomedical Imaging (ISBI), IEEE, pp. 1363-1366. Paris, France, May 2008. doi:10.1109/ISBI.2008.4541258
• J. Lindblad, T. Lukić, and N. Sladoje. Defuzzification by Feature Distance Minimization Based on DC Programming. In Proceedings of the 5th International Symposium on Image and Signal Processing and Analysis (ISPA), IEEE, pp. 373-378, Istanbul, Turkey, Sept. 2007. doi:10.1109/ISPA.2007.4383722
• K. Norell, J. Lindblad, and S. Svensson. Grey Weighted Polar Distance Transform for Outlining Circular and Approximately Circular Objects. In Proceedings of the 14th International Conference on Image Analysis and Processing (ICIAP), IEEE, pp. 647-652, Modena, Italy, Sept. 2007. doi:10.1109/ICIAP.2007.74
• H. Sarve, J. Lindblad, C.B. Johansson, G. Borgefors, V. Franke Stenport. Quantification of Bone Remodeling in the Proximity of Implants, In Proceedings of the 12th International Conference on Computer Analysis of Images and Patterns (CAIP), LNCS-4673, pp. 253-260, Vienna, Austria, Aug. 2007. doi:10.1007/978-3-540-74272-2_32
• J. Lindblad, N. Sladoje, and T. Lukić. Feature Based Defuzzification in Z² and Z³ Using a Scale Space Approach. In Proceedings of the 13th International Conference on Discrete Geometry for Computer Imagery (DGCI), LNCS-4245, pp. 379-390, Szeged, Hungary, Oct. 2006. doi:10.1007/11907350_32 Open Access
• J. Lindblad and N. Sladoje. Feature Based Defuzzification at Increased Spatial Resolution. In Proceedings of the 11th International Workshop on Combinatorial Image Analysis (IWCIA), LNCS-4040, pp. 131-143, Berlin, Germany, June, 2006. doi:10.1007/11774938_11
• N. Sladoje and J. Lindblad. Estimation of Moments of Digitized Objects with Fuzzy Borders. In Proceedings of the 13th International Conference on Image Analysis and Processing (ICIAP), LNCS-3617, pp. 188-195, Cagliari, Italy, Sept. 2005. doi:10.1007/11553595_23 Open Access
• J. Lindblad. Surface Volume Estimation of Digitized Hyperplanes Using Weighted Local Configurations. In Proceedings of the 12th International Conference on Discrete Geometry for Computer Imagery (DGCI), LNCS-3429, pp. 252-262, Poitiers, France, April 2005. doi:10.1007/978-3-540-31965-8_24 Open Access
• N. Sladoje, J. Lindblad, and I. Nyström. Defuzzification of Discrete Objects by Optimizing Area and Perimeter Similarity. In Proceedings of the International Conference on Pattern Recognition (ICPR), volume III, pp. 526-529, Cambridge, UK, August 2004. IEEE Computer Society. doi:10.1109/ICPR.2004.1334582
• P. Karlsson and J. Lindblad. Segmentation and Separation of Point Like Fluorescent Markers in Digital Images. In Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging (ISBI), IEEE, pp. 1291-1294, Arlington, VA, USA, April 2004. doi:10.1109/ISBI.2004.1398782
• E. Bengtsson, C. Wählby, and J. Lindblad. Robust Cell Image Segmentation Methods. In Proceedings of Pattern recognition and image understanding, OGRW-6, pp. 1-4, Russian Academy of Sciences, 2003.
• J. Lindblad. Surface Area Estimation of Digitized Planes Using Weighted Local Configurations. In Proceedings of the 11th International Conference on Discrete Geometry for Computer Imagery (DGCI), LNCS-2886, pp. 348-357, Naples, Italy, Nov. 2003. doi:10.1007/978-3-540-39966-7_33 Open Access
• J. Lindblad and I. Nyström. Surface area estimation of digitized 3D objects using local computations. In Proceedings of the 10th International Conference on Discrete Geometry for Computer Imagery (DGCI), LNCS-2301, pp. 267-278, Bordeaux, France, April 2002. doi:10.1007/3-540-45986-3_24 Open Access
• J. Lindblad and E. Bengtsson. A comparison of methods for estimation of intensity nonuniformities in 2D and 3D microscope images of fluorescence stained cells. In Proceedings of the 12th Scandinavian Conference on Image Analysis (SCIA), pp. 264-271, Bergen, Norway, June 2001. pdf
• C. Wählby, F. Erlandsson, K. Nyberg, J. Lindblad, A. Zetterberg, and E. Bengtsson. Multiple tissue antigen analysis by sequential immunofluorescence staining and multi-dimensional image analysis. In Proceedings of the 12th Scandinavian Conference on Image Analysis (SCIA), pp. 25-32, Bergen, Norway, June 2001.

OTHER CONFERENCE PUBLICATIONS

• S. Chatterjee, N. Sladoje and J. Lindblad. Investigating the Relevance of Contextual Information Towards Improving Deep CNN Based Oral Cancer Screening on Whole Slide Cytology Samples. In Proceedings of the Swedish Symposium on Deep Learning (SSDL), Norrköping, Sweden, March 2023.
• J. Öfverstedt, J. Lindblad, and N. Sladoje. Towards Improved Oral Cancer Detection via Multimodal Image Fusion of Brightfield and Fluorescence Micrographs. In Proceedings of the Swedish Society for Automated Image Analysis (SSBA) Symposium on Image Analysis, Norrköping, Sweden, March 2023.
• L. Nordling, J. Öfverstedt, J. Lindblad, and N. Sladoje. Multimodal Deformable Image Registration Using Contrastive Learning of Equivariant Image Representations. In Proceedings of the Swedish Society for Automated Image Analysis (SSBA) Symposium on Image Analysis, Norrköping, Sweden, March 2023.
• E. Wetzer, J. Lindblad, and N. Sladoje. Partial Dimensional Collapse in Contrastive Learning when using Intermediate Layers. In Proceedings of the Swedish Society for Automated Image Analysis (SSBA) Symposium on Image Analysis, Norrköping, Sweden, March 2023.
• J. Öfverstedt, J. Lindblad, and N. Sladoje. Efficient Algorithms for Global Multimodal Image Registration. In Proceedings of the Swedish Society for Automated Image Analysis (SSBA) Symposium on Image Analysis, Uppsala, Sweden, March 2022.
• S. Chatterjee, N. Sladoje, and J. Lindblad. DCNN based Oral Cancer Screening using Whole Slide Cytology Images : Effect of Increased Patch Size. Swedish Symposium on Deep Learning (SSDL), Uppsala, Sweden, March 2022.
• E. Breznik, E. Wetzer, J. Lindblad, and N. Sladoje. Label-Free Reverse Image Search of Multimodal Microscopy Images. In Proceedings of the Swedish Society for Automated Image Analysis (SSBA) Symposium on Image Analysis, Uppsala, Sweden, March 2022.
• E. Wetzer, N. Pielawski, J. Öfverstedt, J. Lu, C. Wählby, J. Lindblad, N. Sladoje. Rotationally Equivariant Representation Learning for Multimodal Images. In Proceedings of the Swedish Society for Automated Image Analysis (SSBA) Symposium on Image Analysis, Uppsala, Sweden, March 2022.
• J. Öfverstedt, J. Lindblad, and N. Sladoje. Fast Computation of Mutual Information with Application to Global Multimodal Image Alignment of Micrographs. 2nd COMULIS Conference, Gothemburg, Sweden, Sept. 2021. Abstract, Poster
• E. Wetzer, N. Pielawski, J. Öfverstedt, J. Lu, C. Wählby, J. Lindblad, N. Sladoje. Registration of Multimodal Microscopy Images using CoMIR - Learned Structural Image Representations. 2nd COMULIS Conference, Gothemburg, Sweden, Sept. 2021. Abstract, Poster
• J. Lu, J. Öfverstedt, J. Lindblad, and N. Sladoje. Image-to-Image Translation in Multimodal Image Registration : How Well Does It Work? 2nd COMULIS Conference, Gothemburg, Sweden, Sept. 2021. Abstract, Poster
• N. Koriakina, N. Sladoje, E. Wetzer, J. Lindblad. Uncovering hidden reasoning of convolutional neural networks in biomedical image classification by using attribution methods. 4th NEUBIAS Conference, Bordeaux, France, March 2020.
• E. Wetzer, N. Pielawski, J. Öfverstedt, J. Lu, J. Lindblad, I. Floroiu, A. Dumitru, M. Costache, R. Hristu, S.G. Stanciu, N. Sladoje. Cross-modal Representation Learning for Efficient Registration of Multiphoton and Brightfield Microscopy Images of Skin Tissue. 4th NEUBIAS Conference, Bordeaux, France, March 2020.
• M. Kalaš, L. Plantard, J. Lindblad, M. Jones, N. Sladoje, et al. EDAM-bioimaging: the ontology of bioimage informatics operations, topics, data, and formats (update 2020). 4th NEUBIAS Conference, Bordeaux, France, March 2020. F1000Research. doi:10.7490/f1000research.1117826.1 Open Access
• N. Koriakina, N. Sladoje, E. Bengtsson, E. Darai Ramqvist, J-M. Hirsch, C. Runow Stark, J. Lindblad. Visualization of convolutional neural network class activations in automated oral cancer detection for interpretation of malignancy associated changes. 3rd NEUBIAS Conference, Luxembourg, Feb. 2019.
• J. Gay, H. Harlin, E. Wetzer, J. Lindblad, and N. Sladoje. Texture-based oral cancer detection: A performance analysis of deep learning approaches. 3rd NEUBIAS Conference, Luxembourg, Feb. 2019.
• E. Wetzer, J. Lindblad, I-M. Sintorn, K. Hultenby, and N. Sladoje. Towards automated multiscale Glomeruli detection and analysis in TEM by fusion of CNN and LBP maps. 3rd NEUBIAS Conference, Luxembourg, Feb. 2019.
• M. Kalaš, L. Plantard, N. Sladoje, J. Lindblad, M.A. Kirschmann, M. Jones, et al. EDAM-bioimaging: the ontology of bioimage informatics operations, topics, data, and formats (2019 update). 3rd NEUBIAS Conference, Luxembourg, Feb. 2019. F1000Research. doi:10.7490/f1000research.1116432.1 Open Access
• J. Gay, H. Harlin, E. Wetzer, J. Lindblad, and N. Sladoje. Oral Cancer Detection: A Comparison of Texture Focused Deep Learning Approaches. In Proceedings of the Swedish Society for Automated Image Analysis (SSBA) Symposium on Image Analysis, Göteborg, Sweden, March 2019.
• J. Öfverstedt, J. Lindblad, and N. Sladoje. Robust Symmetric Affine Image Registration. In Proceedings of the Swedish Society for Automated Image Analysis (SSBA) Symposium on Image Analysis, Göteborg, Sweden, March 2019.
• J. Öfverstedt, J. Lindblad, and N. Sladoje. Stochastic Distance Functions with Applications in Object Detection and Image Segmentation. In Proceedings of the Swedish Society for Automated Image Analysis (SSBA) Symposium on Image Analysis, Göteborg, Sweden, March 2019.
• C. Runow Stark, I. Gustavsson, U. Gyllensten, E. Darai Ramqvist, J. Lindblad, C. Wählby, E. Bengtsson, J-M. Hirsch. Brush biopsy for HR-HPV detection with FTA card and AI for cytology analysis - a viable non-invasive alternative. 14th Biennial Congress of the European Association of Oral Medicine (EAOM), Göteborg, Sweden, Sept. 2018.
• E. Wetzer, J. Lindblad, I-M. Sintorn, K. Hultenby and N. Sladoje. Towards automated multiscale imaging and analysis in TEM: Glomeruli detection by fusion of CNN and LBP maps. In Proceedings of the 2nd Swedish Symposium on Deep Learning (SSDL), Göteborg, Sweden, Sept. 2018. pdf
• I-M. Sintorn, A. Suveer, A. Dragomir, K. Hultenby, E. Wetzer, K. Lidayová, N. Sladoje, J. Lindblad, M. Ryner. Facilitating Ultrastructural Pathology through Automated Imaging and Analysis. In Proceedings of the 14th European Congress on Digital Pathology (ECDP), Helsinki, Finland, May 2018.
• E. Bengtsson, H. Wieslander, G. Forslid, C. Wählby, J-M. Hirsch, C. Runow Stark, S. K. Sadanandan, and J. Lindblad. Detection of Malignancy-Associated Changes Due to Precancerous and Oral Cancer Lesions: A Pilot Study Using Deep Learning. 33rd Congress of the International Society for Advancement of Cytometry (CYTO), Prague, Czech Republic, April 2018. Poster
• J. Öfverstedt, N. Sladoje and J. Lindblad. Distance Between Vector-valued Images based on Intersection Decomposition with Applications in Object Detection. In Proceedings of the Swedish Society for Automated Image Analysis (SSBA) Symposium on Image Analysis, Stockholm, Sweden, March 2018.
• A. Gupta, A. Suveer, B. Bajić, I. Pepić, J. Lindblad, N. Sladoje, I-M. Sintorn. Denoising of Short Exposure Transmission Electron Microscopy Images using CNN. In Proceedings of the Swedish Society for Automated Image Analysis (SSBA) Symposium on Image Analysis, Stockholm, Sweden, March 2018.
• M. Kalaš, L. Plantard, M.A. Kirschmann, J. Lindblad, A. Chessel, N. Sladoje, et al. EDAM-bioimaging: the ontology of bioimage informatics operations, topics, data, and formats. 2nd NEUBIAS Conference, Szeged, Hungary, Feb. 2018. F1000Research. doi:10.7490/f1000research.1115257.1 Open Access
• A. Gupta, A. Suveer, J. Lindblad, A. Dragomir, I-M. Sintorn, N. Sladoje. False positive reduction of cilia detected in low resolution TEM images using a convolutional neural network. In Proceedings of the Swedish Society for Automated Image Analysis (SSBA) Symposium on Image Analysis, Linköping, Sweden, March 2017.
• A. Suveer, N. Sladoje, J. Lindblad, A. Dragomir, and I-M. Sintorn. Cilia ultrastructural visibility enhancement by multiple instance registration and super-resolution reconstruction. In Proceedings of the Swedish Society for Automated Image Analysis (SSBA) Symposium on Image Analysis, Linköping, Sweden, March 2017.
• A. Suveer, N. Sladoje, J. Lindblad, A. Dragomir, and I-M. Sintorn. Cilia Detection using Template Matching in Low Magnification Electron Microscopy Images. In Proceedings of the Swedish Society for Automated Image Analysis (SSBA) Symposium on Image Analysis, pp. 59-63, Uppsala, Sweden, March 2016.
• B. Bajić, J. Lindblad, and N. Sladoje. Blind deconvolution of images degraded with mixed Poisson-Gaussian noise with application in Transmission Electron Microscopy In Proceedings of the Swedish Society for Automated Image Analysis (SSBA) Symposium on Image Analysis, pp. 137-141, Uppsala, Sweden, March 2016.
• A. Suveer, I-M. Sintorn, N. Sladoje, J. Lindblad, and A. Dragomir. Automated Electron Microscopy for Diagnosis of Genetic Cilia Disorder. Medicinteknikdagarna, p. 32, Uppsala, Sweden, Oct. 2015.
• B. Bajić, J. Lindblad, and N. Sladoje. Performance Evaluation of Potential Functions for Regularized Image Enhancement. In Proceedings of the Swedish Society for Automated Image Analysis (SSBA) Symposium on Image Analysis, pp. 117-122, Ystad, Sweden, March 2015.
• A. Tanács, J. Lindblad, N. Sladoje, Z. Kató. 3D objektumok lineáris deformációinak becslése. In Proceedings of the 8th Conference of the Hungarian Association for Image Processing and Pattern Recognition (KÉPAF), pp. 471-480, Szeged, Hungary, Jan. 2011. In Hungarian. On-line
• V. Ćurić, J. Lindblad, and N. Sladoje. The Sum of Minimal Distances as a Useful Distance Measure for Image Registration. In Proceedings of the Swedish Society for Automated Image Analysis (SSBA) Symposium on Image Analysis, pp. 55-58, Uppsala, Sweden, March 2010.
• H. Sarve, J. Lindblad, and C.B. Johansson. Methods for 3D Visualization of Bone Tissue in the Proximity of Implants. In Proceedings of the Swedish Society for Automated Image Analysis (SSBA) Symposium on Image Analysis, pp. 149-152, Uppsala, Sweden, March 2010.
• M. Gavrilovic, C. Wählby, J. Lindblad, and E. Bengtsson. Dimensionality Reduction for Colour Based Pixel Classification. In Proceedings of the Swedish Society for Automated Image Analysis (SSBA) Symposium on Image Analysis, Halmstad, Sweden, March 2009.
• M. Gavrilovic, C. Wählby, J. Lindblad, and E. Bengtsson. Spectral Angle Histogram: a Novel Image Analysis Tool for Quantification of Colocalization and Cross-talk. 9th International ELMI Meeting on Advanced Light Microscopy, pp. 66-67, Glasgow, UK, June 2009.
• M. Gavrilovic, C. Wählby, J. Lindblad, and E. Bengtsson. Algorithms for cross-talk suppression in fluorescence microscopy. Medicinteknikdagarna, p. 64, Göteborg, Sweden, Oct. 2008.
• H. Sarve, J. Lindblad, G. Borgefors, C.B. Johansson. Att hitta ett histologiskt 2D snitt av ett benimplantat i en 3D mikrotomografivolym. Medicinteknikdagarna, p. 103, Göteborg, Sweden, Oct. 2008.
• H. Sarve, J. Lindblad, C.B. Johansson and G. Borgefors. Are all state of the art techniques "simple as that" to implement in biomaterials research? A pilot study in rat bone. AstraTech World Congress 2008, pp. 136-137, Washington D.C., USA, June 2008.
• F. Malmberg, J. Lindblad, C. Östlund, K.M. Almgren, E.K. Gamstedt. An Automated Image Analysis Method for Measuring Fibre Contact in Fibrous and Composite Materials. In Proceedings of the 13th European Conference on Composite Materials (ECCM), Stockholm, Sweden, June 2008.
• H. Sarve, J. Lindblad, and C.B. Johansson. Registration of 2D Histological Images of Bone Implants with 3D SRµCT Volumes. In Proceedings of the Swedish Society for Automated Image Analysis (SSBA) Symposium on Image Analysis, pp. 19-22, Lund, Sweden, March 2008.
• P. Karlsson Edlund and J. Lindblad. Correction in 3D Confocal Images. In Proceedings of the Swedish Society for Automated Image Analysis (SSBA) Symposium on Image Analysis, pp. 31-34, Lund, Sweden, March 2008.
• K. Norell, J. Lindblad, and S. Svensson. The Polar Distance Transform. In Proceedings of the Swedish Society for Automated Image Analysis (SSBA) Symposium on Image Analysis, pp. 67-70, Lund, Sweden, March 2008.
• H. Sarve, J. Lindblad, C.B. Johansson, V. Franke Stenport, R. Bernhardt, D. Scharnweber, Y.T. Sul, G. Borgefors. Image Analysis of Bone Tissue Remodelling Around Implants. The European Society for Biomaterials (ESB) Conference, Brighton, Sept. 2007.
• P. Karlsson, E. Bengtsson, J. Lindblad, A.-S. Höglund, J. Liu, and L. Larsson. Analysis of Skeletal Fibers in Three Dimensional Images: Methodological considerations. In Proceedings of the 36th European Muscle Conference, p. 101, Stockholm, Sweden, Sept. 2007.
• A.-S. Höglund, J. Liu, P. Karlsson, J. Lindblad, G. Borgefors, E. Bengtsson, and L. Larsson. The spatial distribution of nuclei in single skeletal muscle cells as visualised by 3-D images: the differences in organisation between species and between healthy cells and cells affected by disease. In Proceedings of the Annual Meeting of the Biophysical Society 2007, p. 637a, Bethesda, Maryland, USA, March 2007.
• H. Sarve, J. Lindblad, and C.B. Johansson. Analysis of Histological Images and SRµCT Image Volumes of Bone Remodeling Around Implants. In Proceedings of the Swedish Society for Automated Image Analysis (SSBA) Symposium on Image Analysis, pp. 117-120, Linköping, Sweden, March 2007.
• H. Sarve, J. Lindblad, C.B. Johansson, V. Franke Stenport, R. Bernhardt, D. Scharnweber, and G. Borgefors. Image Analysis of Bone Tissue Remodelling Around Biomaterials. In Proceedings of Medicinteknikdagarna 2007, Örebro, Sweden, Oct. 2007.
• P. Karlsson, E. Bengtsson, J. Lindblad, G. Borgefors, A.-S. Höglund, and L. Larsson. Analysis of Skeletal Muscle Fibers in Three Dimensional Images. In Proceedings of Medicinteknikdagarna 2006, p. 53, Uppsala, Sweden, Oct. 2006.
• M. Axelsson, G. Chinga, S. Svensson, P. Nygård, F. Malmberg, O. Solheim, J. Lindblad, G. Borgefors. Detailed quantification of the 3D structure of newsprints in X-ray synchrotron radiation microtomography images. Progress in Paper Physics Seminar, pp. 11-14, Oxford, Ohio, Oct. 2006
• K. Bogren, E.K. Gamstedt, F. Berthold, M. Lindström, P. Nygård, F. Malmberg, J. Lindblad, M. Axelsson, S. Svensson, G. Borgefors. Stress transfer and failure in pulpfibre reinforced composites: Effects of microstructure characterized by X-ray microtomography. Progress in Paper Physics Seminar, pp. 16-19, Oxford, Ohio, Oct. 2006
• P. Nygård, P. Gradin, Ø Gregersen, J. Lindblad, M. Axelsson, S. Svensson, F. Malmberg, G. Borgefors. Damage Mechanisms in Paper. Progress in Paper Physics Seminar, pp. 41-44, Oxford, Ohio, Oct. 2006
• P. Karlsson, J. Lindblad, and C. Wählby. Segmentation of point like fluorescent markers. In Proceedings of the Swedish Society for Automated Image Analysis (SSBA) Symposium on Image Analysis, pp. 146-149, Uppsala, Sweden, March 2004.
• J. Lindblad, C. Wählby, M. Vondrus, E. Bengtsson, and L. Björkesten. Statistical quality control for segmentation of fluorescence labeled cells. In Proceedings of the 5th Korea-Germany Joint Workshop on Advanced Medical Image Processing, Seoul, Korea, May 2001.
• C. Wählby, F. Erlandsson, J. Lindblad, A. Zetterberg, and E. Bengtsson. Analysis of cells using image data from sequential immunofluorescence staining experiments. In Proceedings of the 5th Korea-Germany Joint Workshop on Advanced Medical Image Processing, Seoul, Korea, May 2001.
• J. Lindblad. Perimeter and area estimates for digitized objects. In Proceedings of the Swedish Society for Automated Image Analysis (SSAB) Symposium on Image Analysis, pp. 113-117, Norrköping, Sweden, March 2001.
• J. Lindblad. Histogram thresholding using kernel density estimates. In Proceedings of the Swedish Society for Automated Image Analysis (SSAB) Symposium on Image Analysis, pp. 41-44, Halmstad, Sweden, March 2000. pdf
• C. Linnman-Wählby, J. Lindblad, M. Vondrus, T. Jarkrans, E. Bengtsson, and L. Björkesten. Automatic cytoplasm segmentation of fluorescence labelled cells. In Proceedings of the Swedish Society for Automated Image Analysis (SSAB) Symposium on Image Analysis, pp. 29-32, Halmstad, Sweden, March 2000.
• C. Linnman-Wählby, J. Lindblad, M. Vondrus, T. Jarkrans, E. Bengtsson, and L. Björkesten. Algorithms for cytoplasm segmentation of fluorescence labelled cells grown in micro-fabricated structures. Poster presentation, Amersham Pharmacia Biotech Uppsala R&D day, Dec. 1999.
• J. Lindblad, Y. Sun, and E. Bengtsson. Development of a system for real-time quality control of the superconducting LHC cable. In Proceedings of the Swedish Society for Automated Image Analysis (SSAB) Symposium on Image Analysis, pp. 101-104, Uppsala, Sweden, March 1998.

OTHER PUBLICATIONS

• T. Majtner, B. Bajić, S. Yildirim, J.Y. Hardeberg, J. Lindblad, N. Sladoje. Ensemble of convolutional neural networks for dermoscopic images classification. arXiv preprint: arXiv:1808.05071 [cs.CV], 2018.
• N. Sladoje and J. Lindblad. Perimeter estimation based on grey level object representation. Report 33, Centre for Image Analysis, 2008. pdf
• C.B. Johansson, J. Lindblad, H. Sarve, R. Bernhardt, F. Beckmann, J. Herzen, G. Borgefors, and D. Scharnweber. Improving the knowledge of integration of medical devices in bone; a comparison of 3D SRµCT data to histomorphometrical data obtained on cut and ground sections. HASYLAB annual report, 2007.
• C. Linnman-Wählby, J. Lindblad, M. Vondrus, T. Jarkrans, E. Bengtsson, and L. Björkesten. Automatic cytoplasm segmentation of fluorescence labelled cells. Technical report, Amersham Pharmacia Biotech, Feb. 2000.
• J. Lindblad. Technical documentation of the CERN LHC cable inspection system. Technical report, Centre for Image Analysis, Sept. 1999.

PH.D. THESIS

• J. Lindblad. Development of Algorithms for Digital Image Cytometry, Ph.D. thesis, Centre for Image Analysis, Uppsala University, Sweden, Jan. 2003. Supervisors: Prof. Ewert Bengtsson and Dr. Ingela Nyström. Opponent: Dr. Calum MacAulay, BC Cancer Research Centre, Vancouver, Canada.
  Available at: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-3239

  Brief abstract: Work in digital image cytometry applied to fluorescence microscope images of cultivated cells. Development and compilation of robust image analysis tools, enabling quantitative measurements of various properties of cells and cell structures.

MASTER'S THESIS

• J. Lindblad. Image analysis for real-time quality control. Master's thesis, Centre for Image Analysis, Uppsala University, Sweden, Dec. 1997. Supervisor: Prof. Ewert Bengtsson.

  Brief abstract: Development of an image analysis based real-time quality control system, enabling error detection in the production line of the superconducting cable for the CERN Large Hadron Collider (LHC) project.