Katalog/rostr275/publications - Department of Information Technology

ASE-Net for Segmentation of Post-operative Glioblastoma and Patient-specific Fine-tuning for Segmentation Refinement of Follow-up MRI Scans. Swagata Kundu, Subhashis Banerjee, Eva Breznik, Dimitrios Toumpanakis, Johan Wikström, Robin Strand, and Ashis Kumar Dhara. In SN computer science, volume 5, number 106, Springer, 2024. (DOI).
Deep learning segmentation of low-resolution images for prostate magnetic resonance-guided radiotherpy. Samuel Fransson, David Tilly, and Robin Strand. 2024.
Multi-level Residual Dual Attention Network for Major Cerebral Arteries Segmentation in MRA towards Diagnosis of Cerebrovascular Disorders. Subhash Chandra Pal, Dimitrios Toumpanakis, Johan Wikström, Chirag Kamal Ahuja, Robin Strand, and Ashis Kumar Dhara. In IEEE Transactions on Nanobioscience, volume 23, number 1, pp 167-175, IEEE, 2024. (DOI).
3-D Attention-SEV-Net for Segmentation of Post-operative Glioblastoma with Interactive Correction of Over-Segmentation. Swagata Kundu, Subhashis Banerjee, Dimitrios Toumpanakis, Johan Wikström, Robin Strand, and Ashis Kumar Dhara. In Pattern Recognition and Machine Intelligence, PREMI 2023, volume 14301 of Lecture Notes in Computer Science, pp 380-387, Springer, 2023. (DOI).
A whole-body diffusion MRI normal atlas: development, evaluation and initial use. Therese Sjöholm, Sambit Tarai, Filip Malmberg, Robin Strand, Alexander Korenyushkin, Gunilla Enblad, Håkan Ahlström, and Joel Kullberg. In Cancer Imaging, volume 23, number 1, BioMed Central (BMC), 2023. (DOI, Fulltext, fulltext:print).
Automatic segmentation of large-scale CT image datasets for detailed body composition analysis.. Nouman Ahmad, Robin Strand, Björn Sparresäter, Sambit Tarai, Elin Lundström, Göran Bergström, Håkan Ahlström, and Joel Kullberg. In BMC Bioinformatics, volume 24, number 1, BioMed Central (BMC), 2023. (DOI, Fulltext, fulltext:print).
Deep Active Learning for Glioblastoma Quantification. Subhashis Banerjee and Robin Strand. In Scandinavian Conference on Image Analysis, pp 190-200, 2023.
Deep Curriculum Learning for Follow-up MRI Registration in Glioblastoma. Subhashis Banerjee, Dimitrios Toumpanakis, Ashis Dhara, Johan Wikström, and Robin Strand. In Medical Imaging 2023: Image Processing, Progress in Biomedical Optics and Imaging, SPIE -Society of Photo-Optical Instrumentation Engineers, 2023. (DOI).
Introducing Spatial Context in Patch-Based Deep Learning for Semantic Segmentation in Whole Body MRI. Eva Breznik, Joel Kullberg, Håkan Ahlström, and Robin Strand. In Scandinavian Conference on Image Analysis, pp 214-228, 2023.
Lifelong Learning with Dynamic Convolutions for Glioma: Segmentation from Multi-Modal MRI. Subhashis Banerjee and Robin Strand. In Medical Imaging 2023: Image Processing, Progress in Biomedical Optics and Imaging, SPIE - International Society for Optical Engineering, 2023.
Lifelong Learning with Dynamic Convolutions for Glioma Segmentation from Multi-Modal MRI. Subhashis Banerjee and Robin Strand. In Medical imaging 2023, Progress in Biomedical Optics and Imaging, SPIE - International Society for Optical Engineering, 2023. (DOI, Fulltext, fulltext:print).
An image registration method for voxel-wise analysis of whole-body oncological PET-CT. Hanna Jönsson, Simon Ekström, Robin Strand, Mette A Pedersen, Daniel Molin, Håkan Ahlström, and Joel Kullberg. In Scientific Reports, volume 12, Springer Nature, 2022. (DOI, Fulltext, fulltext:print).
Efficient Parallel Thinning of 3d Objects on the Body-centered Cubic Lattice. David Brunner, Guido Brunnett, Thomas Kronfeld, and Robin Strand. In Computer-Aided Design, volume 151, Elsevier, 2022. (DOI).
Genetics of liver fat and volume associate with altered metabolism and whole body magnetic resonance imaging. Shafqat Ahmad, Germán Carrasquilla, Taro Langner, Uwe Menzel, Filip Malmberg, Ulf Hammar, Jenny C. Censin, Sergi Sayols-Baixeras, Diem Nguyen, Andrés Martínez Mora, Jan W. Eriksson, Robin Strand, Joel Kullberg, Håkan Ahlström, and Tove Fall. In Journal of Hepatology, volume 77, pp S40-S40, 2022. (DOI).
Improved geometric accuracy of whole body diffusion-weighted imaging at 1.5T and 3T using reverse polarity gradients. Therese Sjöholm, Joel Kullberg, Robin Strand, M. Engström, Håkan Ahlström, and Filip Malmberg. In Scientific Reports, volume 12, Springer Nature, 2022. (DOI, Fulltext, fulltext:print).
MIMIR: Deep Regression for Automated Analysis of UK Biobank MRI Scans. Taro Langner, Andrés Martínez Mora, Robin Strand, Håkan Ahlström, and Joel Kullberg. In Radiology: Artificial Intelligence, volume 4, number 3, Radiological Society of North America (RSNA), 2022. (DOI).
Patient specific deep learning based segmentation for magnetic resonance guided prostate radiotherapy. Samuel Fransson, David Tilly, and Robin Strand. In Physics and Imaging in Radiation Oncology, volume 23, pp 38-42, Elsevier, 2022. (DOI, Fulltext, fulltext:print).
Rotation-Equivariant Semantic Instance Segmentation on Biomedical Images. Karl Bengtsson Bernander, Joakim Lindblad, Robin Strand, and Ingela Nyström. In Medical Image Understanding and Analysis, MIUA 2022, Lecture Notes in Computer Science, pp 283-297, Springer, 2022. (DOI).
Rotation-Equivariant Semantic Instance Segmentation on Biomedical Images. Karl Bengtsson Bernander, Joakim Lindblad, Robin Strand, and Ingela Nystrom. In MEDICAL IMAGE UNDERSTANDING AND ANALYSIS, MIUA 2022, Lecture Notes in Computer Science, pp 283-297, Springer Nature, 2022. (DOI, Fulltext).
Segmentation of Major Cerebral Vessel from MRA images and Evaluation using U-Net Family. Subhash Pal, Subhashis Banerjee, Dimitrios Toumpanakis, Johan Wikström, Robin Strand, and Ashis Dhara. In 2022 IEEE 6th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON), pp 235-238, Institute of Electrical and Electronics Engineers (IEEE), 2022. (DOI).
Serum levels of perfluoroalkyl substances (PFAS) and body composition - A cross-sectional study in a middle-aged population. P. Monica Lind, Lars Lind, Samira Salihovic, Håkan Ahlström, Karl Michaëlsson, Joel Kullberg, and Robin Strand. In Environmental Research, volume 209, p 112677, Elsevier, 2022. (DOI, Fulltext, fulltext:print).
Topology-Aware Learning for Volumetric Cerebrovascular Segmentation. Subhashis Banerjee, Dimitrios Toumpanakis, Ashis Kumar Dhara, Johan Wikström, and Robin Strand. In 2022 IEEE International Symposium on Biomedical Imaging (IEEE ISBI 2022), IEEE International Symposium on Biomedical Imaging, pp 1-4, IEEE, 2022. (DOI).
Relationships Between Plasma Levels And Six Proinflammatory Interleukins And Body Composition Using A New Magnetic Resonance Imaging Voxel-based Technique. Robin Strand, Joel Kullberg, Håkan Ahlström, and Lars Lind. In Cytokine: X, volume 3, number 1, p 100050, 2021. (DOI, Fulltext, External link).
Effects of distance transform choice in training with boundary loss. Eva Breznik and Robin Strand. In , 2021. (Conference information).
Faster dense deformable image registration by utilizing both CPU and GPU. Simon Ekström, Martino Pilia, Joel Kullberg, Håkan Ahlström, Robin Strand, and Filip Malmberg. In Journal of Medical Imaging, volume 8, number 1, 2021. (DOI, Fulltext, fulltext:print).
Intrafractional motion models based on principal components in Magnetic Resonance guided prostate radiotherapy. Samuel Fransson, David Tilly, Anders Ahnesjö, Tufve Nyholm, and Robin Strand. In Physics and Imaging in Radiation Oncology, volume 20, pp 17-22, Elsevier, 2021. (DOI, Fulltext, fulltext:print).
PET/MRI of glucose metabolic rate, lipid content and perfusion in human brown adipose tissue. Elin Lundström, Jonathan Andersson, Mathias Engström, Mark Lubberink, Robin Strand, Håkan Ahlström, and Joel Kullberg. In Scientific Reports, volume 11, Springer Nature, 2021. (DOI, Fulltext, fulltext:print).
Relationships between carotid artery intima-media thickness and echogenicity and body composition using a new magnetic resonance imaging voxel-based technique. Lars Lind, Joel Kullberg, Håkan Ahlström, and Robin Strand. In PLOS ONE, volume 16, number 7, Public Library of Science (PLoS), 2021. (DOI, Fulltext).
Replacing data augmentation with rotation-equivariant CNNs in image-based classification of oral cancer. Karl Bengtsson Bernander, Joakim Lindblad, Robin Strand, and Ingela Nyström. In , 2021. (External link).
Segmentation of Intracranial Aneurysm Remnant in MRA using Dual-Attention Atrous Net. Subhashis Banerjee, Ashis Kumar Dhara, Johan Wikström, and Robin Strand. In 25th International Conference on Pattern Recognition (ICPR), pp 9265-9272, 2021. (DOI).
Uncertainty-Aware Body Composition Analysis with Deep Regression Ensembles on UK Biobank MRI. Taro Langner, Fredrik K. Gustafsson, Benny Avelin, Robin Strand, Håkan Ahlström, and Joel Kullberg. In Computerized Medical Imaging and Graphics, volume 93, 2021. (DOI, Fulltext, External link, fulltext:print).
Adaptive Mathematical Morphology on Irregularly Sampled Signals in Two Dimensions. Teo Asplund, Cris L. Luengo Hendriks, Matthew J. Thurley, and Robin Strand. In Mathematical Morphology - Theory and Applications, volume 4, number 1, pp 108-126, Walter de Gruyter, 2020. (DOI, Fulltext, Publisher's full text, fulltext:print).
Fast graph-cut based optimization for practical dense deformable registration of volume images. Simon Ekström, Filip Malmberg, Håkan Ahlström, Joel Kullberg, and Robin Strand. In Computerized Medical Imaging and Graphics, volume 84, Elsevier, 2020. (DOI).
Kidney segmentation in neck-to-knee body MRI of 40,000 UK Biobank participants. Taro Langner, Andreas Östling, Lukas Maldonis, Albin Karlsson, Daniel Olmo, Dag Lindgren, Andreas Wallin, Lowe Lundin, Robin Strand, Håkan Ahlström, and Joel Kullberg. In Scientific Reports, volume 10, number 1, 2020. (DOI, Fulltext, fulltext:print).
Large-scale Inference of Liver Fat with Neural Networks on UK Biobank Body MRI. Taro Langner, Robin Strand, Håkan Ahlström, and Joel Kullberg. In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2020, volume 12262 of Lecture Notes in Computer Science, pp 602-611, Springer, Cham, 2020. (DOI, Fulltext).
Large-scale biometry with interpretable neural network regression on UK Biobank body MRI. Taro Langner, Robin Strand, Håkan Ahlström, and Joel Kullberg. In Scientific Reports, volume 10, number 1, 2020. (DOI, Fulltext, fulltext:print).
Large-scale inference of liver fat with neural networks on UK Biobank body MRI. Taro Langner, Robin Strand, Håkan Ahlström, and Joel Kullberg. In Lecture Notes in Computer Science LNCS Vol. 12265, pages 602-611, Springer, Cham., pp 602-611, 2020.
Multiple comparison correction methods for whole-body magnetic resonance imaging. Eva Breznik, Filip Malmberg, Joel Kullberg, Håkan Ahlström, and Robin Strand. In Journal of Medical Imaging, volume 7, number 1, SPIE-Intl Soc Optical Eng, 2020. (DOI, Fulltext, fulltext:print).
Patient-specific fine-tuning of CNNs for follow-up lesion quantification. Marielle J A Jansen, Hugo J Kuijf, Ashis Kumar Dhara, Nick A Weaver, Geert Jan Biessels, Robin Strand, and Josein Pluim. In Journal of Medical Imaging, 2020.
Patient-specific fine-tuning of convolutional neural networks for follow-up lesion quantification. Marielle J. A. Jansen, Hugo J. Kuijf, Ashis Kumar Dhara, Nick A. Weaver, Geert Jan Biessels, Robin Strand, and Josien P. W. Pluim. In Journal of Medical Imaging, volume 7, number 6, SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS, 2020. (DOI, Fulltext, fulltext:print).
Recent Advances in Large Scale Whole Body MRI Image Analysis – Imiomics. Robin Strand, Simon Ekström, Eva Breznik, Therese Sjöholm, Martino Pilia, Lars Lind, Filip Malmberg, Håkan Ahlström, and Joel Kullberg. In In Proceedings of The 5th International Conference on Sustainable Information Engineering and Technology (SIET 2020), Malang, Indonesia, 2020.
Voxel-wise Study of Cohort Associations in Whole-Body MRI: Application in Metabolic Syndrome and Its Components.. Lars Lind, Robin Strand, Karl Michaëlsson, Håkan Ahlström, and Joel Kullberg. In Radiology, volume 294, number 3, pp 559-567, 2020. (DOI).
A robust multi-variability model based liver segmentation algorithm for CT-scan and MRI modalities. Marie-Ange Lebre, Antoine Vacavant, Manuel Grand-Brochier, Hugo Rositi, Robin Strand, Hubert Rosier, Armand Abergel, Pascal Chabrot, and Benoit Magnin. In Computerized Medical Imaging and Graphics, volume 76, PERGAMON-ELSEVIER SCIENCE LTD, 2019. (DOI).
A whole-body FDG PET/MR atlas for multiparametric voxel-based analysis. Therese Sjöholm, Simon Ekström, Robin Strand, Håkan Ahlström, Lars Lind, Filip Malmberg, and Joel Kullberg. In Scientific Reports, volume 9, 2019. (DOI, Fulltext, fulltext:print).
Automatic detection of calving events from time-lapse imagery at Tunabreen, Svalbard. Dorothée Vallot, Sigit Adinugroho, Robin Strand, Penelope How, Rickard Pettersson, Douglas I. Benn, and Nick R. J. Hulton. In Geoscientific Instrumentation, Methods and Data Systems, volume 8, pp 113-127, 2019. (DOI, Fulltext, fulltext:print).
Average volume reference space for large scale registration of whole-body magnetic resonance images. Martino Pilia, Joel Kullberg, Håkan Ahlström, Filip Malmberg, Simon Ekström, and Robin Strand. In PLOS ONE, volume 14, number 10, 2019. (DOI, Fulltext, fulltext:print).
Brown adipose tissue estimated with the magnetic resonance imaging fat fraction is associated with glucose metabolism in adolescents. Elin Lundström, Joy Ljungberg, Jonathan Andersson, Hannes Manell, Robin Strand, Anders Forslund, Peter Bergsten, Daniel Weghuber, Katharina Mörwald, Fanni Zsoldos, Kurt Widhalm, Matthias Meissnitzer, Håkan Ahlström, and Joel Kullberg. In Pediatric Obesity, volume 14, number 9, 2019. (DOI, Fulltext).
Conventional analysis of movement on non-flat surfaces like the plasma membrane makes Brownian motion appear anomalous. Jeremy Adler, Ida-Maria Sintorn, Robin Strand, and Ingela Parmryd. In Communications Biology, volume 2, 2019. (DOI, Fulltext).
Distance Transform Based on Weight Sequences. Benedek Nagy, Robin Strand, and Nicolas Normand. In DGCI 2019: Discrete Geometry for Computer Imagery, volume 11414 of Lecture Notes in Computer Science, pp 62-74, Springer, Switzerland AG, 2019. (DOI, External link).
Mathematical Morphology on Irregularly Sampled Data Applied to Segmentation of 3D Point Clouds of Urban Scenes. Teo Asplund, Andrés Serna, Beatriz Marcotegui, Robin Strand, and Cris L. Luengo Hendriks. In International Symposium on Mathematical Morphology and Its Applications to Signal and Image Processing, Lecture Notes In Computer Science, Springer Nature, 2019. (DOI, External link).
New De?nition of Quality-Scale Robustness for Image Processing Algorithms, with Generalized Uncertainty Modeling, Applied to Denoising and Segmentation. Antoine Vacavant, Marie-Ange Lebre, Hugo Rositi, Manuel Grand-Brochier, and Robin Strand. In RRPR 2018: Reproducible Research in Pattern Recognition: Reproducible Research in Pattern Recognition, volume 11455 of Lecture Notes in Computer Science, pp 138-149, Springer, Switzerland AG, 2019. (DOI, External link).
Optimization of max-norm objective functions in image processing and computer vision. Filip Malmberg, Krzysztof Chris Ciesielski, and Robin Strand. In Discrete Geometry for Computer Imagery, volume 11414 of Lecture Notes in Computer Science, pp 206-218, Springer, 2019. (DOI).
Region-by-region analysis of PET, MRI, and histology in en bloc-resected oligodendrogliomas reveals intra-tumoral heterogeneity. Kenney Roy Roodakker, Ali Alhuseinalkhudhur, Mohammed Al-Jaff, Maria Georganaki, Maria Zetterling, Shala G. Berntsson, Torsten Danfors, Robin Strand, Per-Henrik Edqvist, Anna Dimberg, Elna-Marie Larsson, and Anja Smits. In European Journal of Nuclear Medicine and Molecular Imaging, volume 46, number 3, pp 569-579, 2019. (DOI, Fulltext).
Segmentation of Post-operative Glioblastoma in MRI by U-Net with Patient-specific Interactive Refinement. Ashis Kumar Dhara, Kalyan Ram Ayyalasomayajula, Erik Arvids, Markus Fahlström, Johan Wikström, Elna-Marie Larsson, and Robin Strand. In Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, volume 11383 of Lecture Notes in Computer Science (LNCS), pp 115-122, Springer, Cham, 2019. (DOI).
Distance Functions Based on Multiple Types of Weighted Steps Combined with Neighborhood Sequences. Benedek Nagy, Robin Strand, and Nicolas Normand. In Journal of Mathematical Imaging and Vision, volume 60, number 8, pp 1209-1219, 2018. (DOI).
Interactive segmentation of glioblastoma for post-surgical treatment follow-up. Ashis Kumar Dhara, Erik Arids, Markus Fahlström, Johan Wikström, Elna-Marie Larsson, and Robin Strand. In Proc. 24th International Conference on Pattern Recognition, pp 1199-1204, IEEE, 2018. (DOI).
When Can lp-norm Objective Functions Be Minimized via Graph Cuts?. Filip Malmberg and Robin Strand. In Combinatorial Image Analysis, Lecture Notes in Computer Science, pp 112-117, Springer, 2018. (DOI, External link).
A concept for holistic whole body MRI data analysis, Imiomics. Robin Strand, Filip Malmberg, Lars Johansson, Lars Lind, Magnus Sundbom, Håkan Ahlström, and Joel Kullberg. In PLOS ONE, volume 12, number 2, 2017. (DOI, Fulltext, fulltext:print).
Automated segmentation of human cervical-supraclavicular adipose tissue in magnetic resonance images. Elin Lundström, Robin Strand, Anders Forslund, Peter Bergsten, Daniel Weghuber, Håkan Ahlström, and Joel Kullberg. In Scientific Reports, volume 7, 2017. (DOI, Fulltext, fulltext:print).
Exact Evaluation of Targeted Stochastic Watershed Cuts. Filip Malmberg, Cris L. Luengo Hendriks, and Robin Strand. In Discrete Applied Mathematics, volume 216, number 2, pp 449-460, Elsevier, 2017. (DOI).
Mathematical Morphology on Irregularly Sampled Signals. Teo Asplund, Cris L. Luengo Hendriks, Matthew Thurley, and Robin Strand. In Computer Vision – ACCV 2016 Workshops. ACCV 2016, volume 10117 of Lecture Notes in Computer Science, pp 506-520, Springer, 2017. (DOI).
Mathematical morphology on irregularly sampled data in one dimension. Teo Asplund, Cris L. Luengo Hendriks, Matthew J. Thurley, and Robin Strand. In Mathematical Morphology - Theory and Applications, volume 2, number 1, pp 1-24, 2017. (DOI, Fulltext).
Osteochondrosis, Synovial Fossae, and Articular Indentations in the Talus and Distal Tibia of Growing Domestic Pigs and Wild Boars. P. E. Etterlin, S. Ekman, Robin Strand, K. Olstad, and C. J. Ley. In Veterinary pathology, volume 54, number 3, pp 445-456, 2017. (DOI).
SmartPaint: a tool for interactive segmentation of medical volume images. Filip Malmberg, Richard Nordenskjöld, Robin Strand, and Joel Kullberg. In Computer Methods In Biomechanics And Biomedical Engeineering-Imaging And Visualization, volume 5, number 1, pp 36-44, TAYLOR & FRANCIS LTD, 2017. (DOI).
The Boolean Map Distance: Theory and Efficient Computation. Filip Malmberg, Robin Strand, Jianming Zhang, and Stan Sclaroff. In International Conference on Discrete Geometry for Computer Imagery, volume 10502 of Lecture notes in computer science, pp 335-346, Springer, 2017. (DOI).
The Minimum Barrier Distance: A Summary of Recent Advances. Robin Strand, Krzysztof Chris Ciesielski, Filip Malmberg, and Punam K. Saha. In Discrete Geometry for Computer Imagery. DGCI 2017, volume 10502 of Lecture Notes in Computer Science, pp 57-68, Springer, 2017. (DOI, fulltext:postprint).
A New Approach to Mathematical Morphology on One Dimensional Sampled Signals. Teo Asplund, Cris Luengo, Matthew Thurley, and Robin Strand. In IEEE Proceedings, International Conference on Pattern Recognition (ICPR 2016), Cancun, Mexico, 2016, 2016. (DOI).
A Toolbox for Non-parametric Deformable Registration of Volume Images. Filip Malmberg, Robin Strand, Håkan Ahlström, and Joel Kullberg. In , 2016.
A new method for reconstructing brain morphology: Applying the brain-neurocranial spatial relationship in an extant lungfish to a fossil endocast. Alice M. Clement, Robin Strand, Johan Nysjö, John A. Long, and Per E. Ahlberg. In Royal Society Open Science, volume 3, number 7, 2016. (DOI, Fulltext).
Fuzzy Segmentation of Synthetic and MRI Volume Data sampled on Optimal Lattices. Elisabeth Schold Linnér, Joel Kullberg, and Robin Strand. In , 2016. Publication status: Submitted
Holistic whole-body MRI image analysis. Robin Strand, Filip Malmberg, Lars Johansson, Lars Lind, Magnus Sundbom, Håkan Ahlström, and Joel Kullberg. In Symposium of the Swedish Society for Automated Image Analysis, Uppsala, Sweden, (SSBA), 2016.
LatticeLibrary and BccFccRaycaster: Software for processing and viewing 3D data on optimal sampling lattices. Elisabeth Schold Linnér, Max Morén, Karl-Oskar Smed, Johan Nysjö, and Robin Strand. In SoftwareX, volume 5, pp 16-24, 2016. (DOI, Fulltext).
Minimal paths by sum of distance transforms. Robin Strand. In Discrete Geometry for Computer Imagery, volume 9647 of Lecture Notes in Computer Science, pp 349-358, Springer, 2016. (DOI).
A histopathological tool for quantification of biomarkers with sub-cellular resolution. Andreas Kårsnäs, Robin Strand, Johan Doré, Thomas Ebstrup, Michael Lippert, and Kim Bjerrum. In Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, volume 3, number 1, pp 25-46, 2015. (DOI).
Brain – Endocast relationship in the Australian lungfish, Neoceratodus forsteri, elucidated from tomographic data (Sarcopterygii: Dipnoi). Alice M. Clement, Johan Nysjö, Robin Strand, and Per E. Ahlberg. In PLOS ONE, volume 10, number 10, 2015. (DOI, Fulltext).
Calving events detection and quantification from time-lapse images in Tunabreen glacier. Sigit Adinugroho, Dorothée Vallot, Pontus Westrin, and Robin Strand. In Proc. 9th International Conference on Information & Communication Technology and Systems, pp 61-65, IEEE, Piscataway, NJ, 2015. (DOI).
Digital topology and geometry in medical image processing: A survey. Punam K. Saha, Robin Strand, and Gunilla Borgefors. In IEEE Transactions on Medical Imaging, volume 34, number 9, pp 1940-1964, 2015. (DOI).
Interactive Deformation of Volume Images for Image Registration. Filip Malmberg, Robin Strand, and Joel Kullberg. In Proc. Interactive Medical Image Computing Workshop, 2015. (External link).
Magnetic resonance imaging cooling–reheating protocol indicates decreased fat fraction via lipid consumption in suspected brown adipose tissue. Elin Lundström, Robin Strand, Lars Johansson, Peter Bergsten, Håkan Ahlström, and Joel Kullberg. In PLOS ONE, volume 10, number 4, 2015. (DOI, Fulltext).
Multimodal histological image registration using locally rigid transforms. Andreas Kårsnäs and Robin Strand. In Proc. Interactive Medical Image Computing Workshop, 2015.
A Graph-Based Implementation of the Anti-Aliased Euclidean Distance Transform. Elisabeth Linnér and Robin Strand. In Proceedings 22nd International Conference on Pattern Recognition (ICPR), 2014, International Conference on Pattern Recognition, pp 1025-1030, 2014. (DOI).
A Streaming Distance Transform Algorithm for Neighborhood-Sequence Distances. Nicolas Normand, Robin Strand, Evenou Pierre, and Aurore Arlicot. In Image Processing On Line, volume 4, pp 196-203, 2014. (DOI, External link).
An interactive tool for deformable registration of volume images. Filip Malmberg, Robin Strand, Richard Nordenskjöld, and Joel Kullberg. In Symposium of the Swedish Society for Automated Image Analysis (SSBA), 2014.
Anti-Aliased Euclidean Distance Transform on 3D Sampling Lattices. Elisabeth Linnér and Robin Strand. In Discrete Geometry for Computer Imagery: 18th IAPR International Conference, DGCI 2014, Siena, Italy, September 10-12, 2014. Proceedings, volume 8668 of Lecture Notes in Computer Science, pp 88-98, 2014. (DOI).
Efficient algorithm for finding the exact minimum barrier distance. Krzysztof Chris Ciesielski, Robin Strand, Filip Malmberg, and Punam K. Saha. In Computer Vision and Image Understanding, volume 123, pp 53-64, 2014. (DOI).
Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge. Geert Litjens, Robert Toth, Wendy van de Ven, Caroline Hoeks, Sjoerd Kerkstra, Bram van Ginneken, Graham Vincent, Gwenael Guillard, Neil Birbeck, Jindang Zhang, Robin Strand, Filip Malmberg, Yangming Ou, Christos Davatzikos, Matthias Kirschner, Florian Jung, Jing Yuan, Wu Qiu, Qinquan Gao, Philip Eddie Edwards, Bianca Maan, Ferdinand van der Heijden, Soumya Ghose, Jhimli Mitra, Jason Dowling, Dean Barratt, Henkjan Huisman, and Anant Madabhushi. In Medical Image Analysis, volume 18, number 2, pp 359-373, 2014. (DOI).
Multimodal histological image registration using locally rigid transforms. Andreas Kårsnäs and Robin Strand. In IEEE Transactions on Biomedical Engineering, 2014. Publication status: Submitted
The Minimum Barrier Distance - Stability to seed point position. Robin Strand, Filip Malmberg, Punam Saha, and Elisabeth Linnér. In Discrete Geometry for Computer Imagery, DGCI 2014, volume 8668 of Lecture Notes in Computer Science, pp 111-121, 2014. (DOI).
A Weight Sequence Distance Function. Nagy Benedek, Robin Strand, and Nicolas Normand. In : Mathematical Morphology and Its Applications to Signal and Image Processing, volume 7883 of Lecture Notes in Computer Science, pp 292-301, Springer Berlin/Heidelberg, 2013. (DOI).
Automated classification of immunostaining patterns in breast tissue from the Human Protein Atlas. Swamidoss Issac Niwas, Andreas Kårsnäs, Virginie Uhlmann, Palanisamy Ponnusamy, Caroline Kampf, Martin Simonsson, Carolina Wählby, and Robin Strand. In Journal of Pathology Informatics, volume 4, number 14, 2013. (DOI, External link).
Digital Distances and Integer Sequences. Nicolas Normand and Robin Strand. In Lecture Notes in Computer Science, pp 169-179, 2013.
Dual B-spline Snake for Interactive Myocardial Segmentation. Kevin Bianchi, Antoine Vacavant, Robin Strand, Pierre Terve, and Laurent Sarry. In , 2013.
Faster Fuzzy Connectedness via Precomputation. Filip Malmberg and Robin Strand. In Mathematical Morphology and Its Applications to Signal and Image Processing, volume 7883 of Lecture Notes in Computer Science, pp 476-483, Springer, 2013.
Mathematical Morphology and Its Applications to Signal and Image Processing: 11th International Symposium, ISMM 2013; Uppsala, Sweden, May 2013; Proceedings. Cris L. Luengo Hendriks, Gunilla Borgefors, and Robin Strand (eds). Volume 7883 of Lecture Notes in Computer Science, Springer, Berlin Heidelberg, 2013. (DOI).
Minimal-delay distance transform for neighborhood-sequence distances in 2D and 3D. Nicolas Normand, Robin Strand, Pierre Evenou, and Aurore Arlicot. In Computer Vision and Image Understanding, volume 117, number 4, pp 409-417, 2013. (DOI).
Movement on Uneven Surfaces Displays Characteristic Features of Hop Diffusion. Ingela Parmryd, Jeremy Adler, Ida-Maria Sintorn, and Robin Strand. In Biophysical Journal, volume 104, number 2, pp 524A-524A, 2013. (DOI).
The minimum barrier distance. Robin Strand, Krzysztof Chris Ciesielski, Filip Malmberg, and Punam K. Saha. In Computer Vision and Image Understanding, volume 117, number 4, pp 429-437, 2013. (DOI).
Aliasing Properties of Voxels in Three-Dimensional Sampling Lattices. Elisabeth Linnér and Robin Strand. In Large Scale Scientific Computing, volume 7116 of Lecture Notes in Computer Science, pp 507-514, 2012. (DOI).
Automated classification of immunostaining patterns in breast tissue from the Human Protein Atlas. Swamidoss Issac Niwas, Andreas Kårsnäs, Virginie Uhlmann, P. Palanisamy, Caroline Kampf, Martin Simonsson, Carolina Wählby, and Robin Strand. In Histopathology Image Analysis (HIMA): a MICCAI 2012 workshop, 2012. (External link).
Comparison of Restoration Quality on Square and Hexagonal Grids using Normalized Convolution. Elisabeth Linner and Robin Strand. In Proceedings of the 21st International Conference on Pattern Recognition (ICPR), 2012.
Comparison of restoration quality on square and hexagonal grids using normalized convolution. Elisabeth Linnér and Robin Strand. In Proc. 21st International Conference on Pattern Recognition, pp 3046-3049, 2012.
Distance transform computation for digital distance functions. Robin Strand and Nicolas Normand. In Theoretical Computer Science, volume 448, pp 80-93, 2012. (DOI).
Seeded Segmentation Based on Object Homogeneity. Filip Malmberg, Robin Strand, Richard Nordenskjöld, and Joel Kullberg. In Proceedings of the 21st International Conference on Pattern Recognition (ICPR), pp 21-24, 2012. (External link, External link).
Smart Paint: A New Interactive Segmentation Method\\ Applied to MR Prostate Segmentation. Filip Malmberg, Robin Strand, Joel Kullberg, Richard Nordenskjöld, and Ewert Bengtsson. In Prostate MR Image Segmentation Grand Challenge (PROMISE'12), a MICCAI 2012 workshop, 2012. (External link).
The Vectorial Minimum Barrier Distance. Andreas Kårsnäs, Robin Strand, and Punam K. Saha. In International Conference on Pattern Recognition, pp 792-795, 2012. (External link).
A weighted neighbourhood sequence distance function with three local steps. Robin Strand and Benedek Nagy. In Proceedings of Image and Signal Processing and Analysis (ISPA), 2011 7th International Symposium on, IEEE Conference proceedings, pp 564-568, IEEE Computer Society, 2011. (External link).
Anti-aliased Euclidean distance transform. Stefan Gustavson and Robin Strand. In Pattern Recognition Letters, volume 32, number 2, pp 252-257, 2011. (DOI).
Approximating Euclidean circles by neighbourhood sequences in a hexagonal grid. Benedek Nagy and Robin Strand. In Theoretical Computer Science, volume 412, number 15, pp 1364-1377, 2011. (DOI).
Digital distance functions on three-dimensional grids. Robin Strand, Benedek Nagy, and Gunilla Borgefors. In Theoretical Computer Science, volume 412, number 15, pp 1350-1363, 2011. (DOI).
Generalized Hard Constraints for Graph Segmentation. Filip Malmberg, Robin Strand, and Ingela Nyström. In Image Analysis, 17th Scandinavian Conference. SCIA 2011., Lecture Notes in Computer Science, Springer, 2011.
Path-Based Distance with Varying Weights andNeighborhood Sequences. Nicolas Normand, Robin Strand, Pierre Evenou, and Aurore Arlicot. In Proceedings, International Conference on Discrete Geometry for Computer Imagery (DGCI 2011): , volume 6607 of Lecture Notes in Computer Science, pp 199-210, Springer, Berlin Heidelberg, 2011. (DOI, External link).
Sparse Object Representations by Digital Distance Functions. Robin Strand. In Proceedings, International Conference on Discrete Geometry for Computer Imagery (DGCI 2011), volume 6607 of Lecture Notes in Computer Science, pp 211-222, Springer, Berlin Heidelberg, 2011. (DOI, External link).
Centre for Image Analysis Annual Report 2009. Ewert Bengtsson, Vladimir Curic, Ingela Nyström, Robin Strand, Lena Wadelius, and Erik Wernersson (eds). Uppsala University Printers, 2010.
Digital Distance Functions on a Honeycomb Point Lattice. Robin Strand and Benedek Nagy. In Workshop on Applications of Discrete Geometry and Mathematical Morphology, pp 17-21, 2010. (External link).
Interpolation and Sampling on a Honeycomb Lattice. Robin Strand. In Proceedings of 20th International Conference on Pattern Recognition, IEEE proceedings, pp 2222-2225, IEEE computer society, 2010. (DOI, External link).
Sampling and Aliasing Properties of Three-Dimensional Point-Lattices. Robin Strand. In Proceedings SSBA'10 Symposium on Image Analysis, Uppsala, Sweden, 2010, pp 23-26, Centre for Image Analysis, Uppsala, 2010. (fulltext).
Sampling and Ideal Reconstruction on the 3D Diamond Grid. Robin Strand. In Proceedings of 20th International Conference on Pattern Recognition, Istanbul, Turkey, August 2010, IEEE proceedings, pp 4609-4612, IEEE computer society, 2010. (DOI).
Neighborhood Sequences in the Diamond Grid: Algorithms with Two and Three Neighbors. Benedek Nagy and Robin Strand. In International journal of imaging systems and technology (Print), volume 19, number 2, pp 146-157, Wiley Periodicals, Inc., 2009. (DOI, External link).
Neighborhood Sequences in the Diamond Grid - Algorithms with Four Neighbors. Benedek Nagy and Robin Strand. In Proceedings, theoretical track, International Workshop on Combinatorial Image Analysis (IWCIA 2009), Mexico, volume 5852 of Lecture Notes in Computer Science, pp 109-121, Springer, Berlin / Heidelberg, 2009.
Neighborhood Sequences on nD Hexagonal/Face-Centered-Cubic Grids. Benedek Nagy and Robin Strand. In Proceedings, theoretical track, International Workshop on Combinatorial Image Analysis (IWCIA 2009), Mexico, volume 5852 of Lecture Notes in Computer Science, pp 96-108, Springer, Berlin / Heidelberg, 2009.
On Maximal Balls in Three Volume Grids. Gunilla Borgefors and Robin Strand. In PRIP'2009: Pattern Recognition and Information Processing, Minsk, Belarus, pp 31-36, Publishing Center of BSU, Minsk, 2009.
Path-Based Distance Functions in n-Dimensional Generalizations of the Face- and Body-Centered Cubic Grids. Robin Strand and Benedek Nagy. In Discrete Applied Mathematics, volume 157, number 16, pp 3386-3400, Elsevier, 2009. (DOI, External link).
Weighted Distances Based on Neighborhood Sequences for Point-Lattices. Robin Strand. In Discrete Applied Mathematics, volume 157, number 4, pp 641-652, Elsevier, 2009. (DOI, External link).
A Connection Between Zn and Generalized Triangular Grids. Robin Strand and Benedek Nagy. In International Symposium on Visual Computing (ISVC 2008), Las Vegas, Nevada, volume 5359 of Lecture Notes in Computer Science, pp 1157-1166, Springer, Berlin / Heidelberg, 2008. (DOI, External link).
Annual Report 2007. Ewert Bengtsson, Kristin Norell, Ingela Nyström, Robin Strand, and Lena Wadelius. 2008. (External link).
Distance Functions and Image Processing on Point-Lattices: with focus on the 3D face- and body-centered cubic grids. Robin Strand. Ph.D. thesis, Uppsala Dissertations from the Faculty of Science and Technology nr 79, Acta Universitatis Upsaliensis, Uppsala, 2008. (fulltext).
Neighborhood Sequences in the Diamond Grid. Benedek Nagy and Robin Strand. In Image analysis: from theory to applications, pp 187-195, Research Publishing, Singapore, Chennai, 2008. (External link).
The Polar Distance Transform by Fast-Marching. Robin Strand and Kristin Norell. In Proceedings of 19th International Conference on Pattern Recognition (ICPR 2008), Tampa, Florida, December 2008, volume IEEE Catalog Number: CFP08182 of IEEE proceedings, IEEE computer society, 2008.
Weighted Neighborhood Sequences in Non-Standard Three-Dimensional Grids -- Parameter Optimization. Robin Strand and Benedek Nagy. In In Proceedings, theoretical track, International Workshop on Combinatorial Image Analysis (IWCIA 2008), Buffalo, NY, USA, 2008, volume 4958 of Lecture notes in computer science, pp 51-62, 2008. (DOI, External link).
Weighted Neighbourhood Sequences - Computing the Distance Transform. Robin Strand. In Proceedings SSBA'08 Symposium on Image Analysis, Lund, Sweden, pp 63-66, 2008.
Weighted Neighbourhood Sequences in Non-Standard Three-Dimensional Grids: Metricity and Algorithms. Robin Strand and Benedek Nagy. In In Proceedings International Conference on Discrete Geometry for Computer Imagery (DGCI 2008), Lyon, France, 2008, volume 4992 of Lecture notes in computer science, pp 201-212, 2008. (DOI, External link).
Distances based on neighbourhood sequences in non-standard three-dimensional grids. Robin Strand and Benedek Nagy. In Discrete Applied Mathematics, volume 155, number 4, pp 548-557, 2007. (DOI, External link).
Minimal Cost-Path for Path-Based Distances. Robin Strand, Filip Malmberg, and Stina Svensson. In Proceedings of 5th International Symposium on Image and Signal Processing and Analysis (ISPA 2007), pp 379-384, 2007. (DOI, External link).
Shape Representation wtih Maximal Path-Points for Path-Based Distances. Robin Strand. In Image and Signal Processing and Analysis, 2007. ISPA 2007. 5th International Symposium on, pp 397-402, 2007. (DOI, External link).
Topology Preserving Marching Cubes-like Algorithms on the Face-Centered Cubic Grid. Robin Strand and Peer Stelldinger. In 14th International Conference on Image Analysis and Processing (ICIAP 2007), pp 781-788, 2007. (DOI, External link).
Weighted Distances Based on Neighbourhood Sequences in Non-Standard Three-Dimensional Grids. Robin Strand. In Image Analysis, Proceedings, volume 4522 of Lecture Notes in Computer Science, pp 452-461, 2007. (DOI).
Weighted distance transforms generalized to modules and their computation on point lattices. Céline Fouard, Robin Strand, and Gunilla Borgefors. In Pattern Recognition, volume 40, number 9, pp 2453-2474, 2007. (DOI).
Weighted distances based on neighbourhood sequences. Robin Strand. In Pattern Recognition Letters, volume 28, number 15, pp 2029-2036, 2007. (DOI).
A High-Perpormance Parallel Thinning Approach Using a Non-Cubic Grid Structure.. David Brunner and Robin Strand. Technical report, Faculty of Computer Science, Chemnitz University of Technology, Germany., 2006.
A Sequential Algorithm for Computing the Distance Transform using Distances Based on Neighbourhood Sequences in Z³.. Robin Strand. In Proceedings SSBA'06 Symposium on Image Analysis, 2006.
Approximating Euclidean Distance Using Distances based on Neighbourhood Sequences in Non-Standard Three-Dimensional Grids.. Benedek Nagy and Robin Strand. In Proceedings Combinatorial Image Analysis: 11th International Workshop, IWCIA 2006, volume 4040 of Lecture notes in computer science, pp 89-100, 2006. (DOI, External link).
Generating Distance Maps with Neighbourhood Sequences. Robin Strand, Benedek Nagy, Céline Fouard, and Gunilla Borgefors. In Discrete Geometry for Computer Imagery: 13th International Conference, DGCI 2006, Szeged, Hungary, October 25-27, 2006. Proceedings, volume 4245 of Lecture Notes in Computer Science, pp 295-307, Springer, Berlin, Heidelberg, 2006. (DOI).
Simple Points on the Body-Centered Cubic Grid. Robin Strand and David Brunner. Internrapport, Centrum för Bildanalys nr 42, 2006.
Some Properties for Distances Based on Neighbourhood Sequences in the Face-Centered Cubic Grid and the Body-Centered Cubic Grid. Robin Strand and Benedek Nagy. internrapport, Centrum för Bildanalys nr 39, 2006.
Topology Preserving Digitization with FCC and BCC Grids. Peer Stelldinger and Robin Strand. In Proceedings Combinatorial Image Analysis: 11th International Workshop, IWCIA 2006, volume 4040 of Lecture notes in computer science, pp 226-240, 2006. (DOI, External link).
Using the Hexagonal Grid for Three-Dimensional Images: Direct Fourier Method Reconstruction and Weighted Distance Transform.. Robin Strand. In Proceedings of 18th International Conference on Pattern Recognition (ICPR 2006), vol 2, pp 1169-1172, 2006. (DOI, External link).
Weighted Distance Expression in Modules. Céline Fouard and Robin Strand. In Proceedings SSBA'06 Symposium on Image Analysis, 2006.
Weighted Distance Transforms Generalized To Modules and Their Computation on Point Lattices.. Céline Fouard and Robin Strand. Internrapport, Centrum för Bildanalys nr 38, 2006.
A Classification of Centres of Maximal Balls in Z^3. Robin Strand. 2005.
An Approximation of the Maximal Inscribed Convex Set of a Digital Obj. Gunilla Borgefors and Robin Strand. In In F. Roli and S. Vitulano, editors, Proceedings of 13th International Conference on Image Analysis and Processing (ICIAP'05), pp 438-445, 2005.
Distance Transforms for Three-Dimensional Grids with Non-Cubic Voxels. Robin Strand and Gunilla Borgefors. In Computer Vision and Image Understanding, volume 100, number 3, pp 294-311, 2005. (External link).
Resolution Pyramids on the FCC and BCC Grids. Robin Strand and Gunilla Borgefors. In Proceedings of Discrete Geometry for Computer Imagery, pp 68-78, 2005.
The Euclidean Distance Transform Applied to the FCC and BCC Grids. Robin Strand. In Pattern Recognition and Image Analysis, Proceedings of Second Iberian Conference, IbPRIA 2005: volume 1, pp 243-250, 2005.
The face-centered cubic grid and the body-centered cubic grid: a literature survey. Robin Strand. Internrapport, Centrum för Bildanalys nr 35, 2005.
Centre for Image Analysis Annual Report 2003. Gunilla Borgefors, Ingela Nyström, Ida-Maria Sintorn, Robin Strand, and Lena Wadelius. Centrum för bildanalys, 2004.
Supercover of Non-square and Non-cubic Grids. Troung Kieu Linh, Atsushi Imiya, Robin Strand, and Gunilla Borgefors. In Proc. 10th International Workshop on Combinatorial Image Analysis (IWCIA 2004): Auckland, New Zealand, Dec. 2004, pp 88-97, 2004.
Surface skeletons in grids with non-cubic voxels. Robin Strand. In Proceedings of International Conference on Pattern Recognition (ICPR 2004), 2004.