deCIFer: Crystal Structure Prediction from Powder Diffraction Data using Autoregressive Language Models - Frederik L. Johansen; Ulrik Friis-Jensen; Erik Bjørnager Dam; Kirsten M. Ø. Jensen; Rocío Mercado; Raghavendra Selvan (CoRR, 2025)

A GPU-Accelerated Open-Source Python Package for Calculating Powder Diffraction, Small-Angle-, and Total Scattering with the Debye Scattering Equation - Frederik L. Johansen; Andy S. Anker; Ulrik Friis-Jensen; Erik B. Dam; Kirsten M. Ø. Jensen; Raghavendra Selvan (J. Open Source Softw., 2024)

CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning - Ulrik Friis-Jensen; Frederik L. Johansen; Andy S. Anker; Erik B. Dam; Kirsten M. Ø. Jensen; Raghavendra Selvan (Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024, Barcelona, Spain, August 25-29, 2024, 2024)

Fully Automated Tumor Segmentation for Brain MRI data using Multiplanner UNet - Sumit Pandey; Satyasaran Changdar; Mathias Perslev; Erik B. Dam (CoRR, 2024)

CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning - Ulrik Friis-Jensen; Frederik L. Johansen; Andy S. Anker; Erik B. Dam; Kirsten M. Ø. Jensen; Raghavendra Selvan (CoRR, 2024)

Equity through Access: A Case for Small-scale Deep Learning - Raghavendra Selvan; Bob Pepin; Christian Igel; Gabrielle Samuel; Erik B. Dam (CoRR, 2024)

Multi-planar 3D knee MRI segmentation via UNet inspired architectures - Sandeep Singh Sengar; Christopher Meulengracht; Mikael Ploug Boesen; Anders Føhrby Overgaard; Henrik Gudbergsen; Janus Damm Nybing; Mathias Perslev; Erik Bjørnager Dam (Int. J. Imaging Syst. Technol., 2023)

The Liver Tumor Segmentation Benchmark (LiTS) - Patrick Bilic; Patrick Ferdinand Christ; Hongwei Li; Eugene Vorontsov; Avi Ben-Cohen; Georgios Kaissis; Adi Szeskin; Colin Jacobs; Gabriel Efrain Humpire Mamani; Gabriel Chartrand; Fabian Lohöfer; Julian Walter Holch; et al. (Medical Image Anal., 2023)

Comprehensive Multimodal Segmentation in Medical Imaging: Combining YOLOv8 with SAM and HQ-SAM Models - Sumit Pandey; Kuan-Fu Chen; Erik B. Dam (IEEE/CVF International Conference on Computer Vision, ICCV 2023 - Workshops, Paris, France, October 2-6, 2023, 2023)

Advancing Kidney, Kidney Tumor, Cyst Segmentation: A Multi-Planner U-Net Approach for the KiTS23 Challenge - Sumit Pandey; Toshali; Mathias Perslev; Erik B. Dam (Kidney and Kidney Tumor Segmentation - MICCAI 2023 Challenge, KiTS 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings, 2023)

Operating Critical Machine Learning Models in Resource Constrained Regimes - Raghavendra Selvan; Julian Schön; Erik B. Dam (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, 2023)

Operating critical machine learning models in resource constrained regimes - Raghavendra Selvan; Julian Schön; Erik B. Dam (CoRR, 2023)

Comprehensive Multimodal Segmentation in Medical Imaging: Combining YOLOv8 with SAM and HQ-SAM Models - Sumit Pandey; Kuan-Fu Chen; Erik B. Dam (CoRR, 2023)

Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis - Raghavendra Selvan; Nikhil Bhagwat; Lasse F. Wolff Anthony; Benjamin Kanding; Erik B. Dam (Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part V, 2022)

Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis - Raghavendra Selvan; Nikhil Bhagwat; Lasse F. Wolff Anthony; Benjamin Kanding; Erik B. Dam (CoRR, 2022)

UNet Architectures in Multiplanar Volumetric Segmentation - Validated on Three Knee MRI Cohorts - Sandeep Singh Sengar; Christopher Meulengracht; Mikael Ploug Boesen; Anders Føhrby Overgaard; Henrik Gudbergsen; Janus Damm Nybing; Erik Bjørnager Dam (CoRR, 2022)

Fully automated quality control of rigid and affine registrations of T1w and T2w MRI in big data using machine learning - Sudhakar Tummala; Venkata Sainath Gupta Thadikemalla; Barbara A. K. Kreilkamp; Erik B. Dam; Niels K. Focke (Comput. Biol. Medicine, 2021)

Reply to Roemer and Guermazi: Early biochemical changes on MRI can predict risk of symptomatic progression - Shinjini Kundu; Beth G. Ashinsky; Mustapha Bouhrara; Erik B. Dam; Shadpour Demehri; Mohammad Shifat-E.-Rabbi; Richard G. Spencer; Kenneth L. Urish; Gustavo K. Rohde (Proc. Natl. Acad. Sci. USA, 2021)

Segmenting Two-Dimensional Structures with Strided Tensor Networks - Raghavendra Selvan; Erik B. Dam; Jens Petersen (Information Processing in Medical Imaging - 27th International Conference, IPMI 2021, Virtual Event, June 28-June 30, 2021, Proceedings, 2021)

Segmenting two-dimensional structures with strided tensor networks - Raghavendra Selvan; Erik B. Dam; Jens Petersen (CoRR, 2021)

Patch-based medical image segmentation using Quantum Tensor Networks - Raghavendra Selvan; Erik B. Dam; Søren Alexander Flensborg; Jens Petersen (CoRR, 2021)

Enabling early detection of osteoarthritis from presymptomatic cartilage texture maps via transport-based learning - Shinjini Kundu; Beth G. Ashinsky; Mustapha Bouhrara; Erik B. Dam; Shadpour Demehri; Mohammad Shifat-E.-Rabbi; Richard G. Spencer; Kenneth L. Urish; Gustavo K. Rohde (Proc. Natl. Acad. Sci. USA, 2020)

Tensor Networks for Medical Image Classification - Raghavendra Selvan; Erik B. Dam (International Conference on Medical Imaging with Deep Learning, MIDL 2020, 6-8 July 2020, Montréal, QC, Canada, 2020)

Tensor Networks for Medical Image Classification - Raghavendra Selvan; Erik B. Dam (CoRR, 2020)

The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset - Arjun D. Desai; Francesco Calivá; Claudia Iriondo; Naji Khosravan; Aliasghar Mortazi; Sachin Jambawalikar; Drew A. Torigian; Jutta Ellermann; Mehmet Akçakaya; Ulas Bagci; Radhika Tibrewala; Io Flament; et al. (CoRR, 2020)

Lung Segmentation from Chest X-rays using Variational Data Imputation - Raghavendra Selvan; Erik B. Dam; Sofus Rischel; Kaining Sheng; Mads Nielsen; Akshay Pai (CoRR, 2020)

Locally orderless tensor networks for classifying two- and three-dimensional medical images - Raghavendra Selvan; Silas Nyboe Ørting; Erik B. Dam (CoRR, 2020)

Multi-layered tensor networks for image classification - Raghavendra Selvan; Silas Nyboe Ørting; Erik B. Dam (CoRR, 2020)

Muscle fibre morphology and microarchitecture in cerebral palsy patients obtained by 3D synchrotron X-ray computed tomography - Leise Borg; Jon Sporring; Erik B. Dam; Vedrana Andersen Dahl; Tim B. Dyrby; Robert Feidenhans'l; Anders B. Dahl; Jessica Pingel (Comput. Biol. Medicine, 2019)

One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation - Mathias Perslev; Erik Bjørnager Dam; Akshay Pai; Christian Igel (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part II, 2019)

One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation - Mathias Perslev; Erik Bjørnager Dam; Akshay Pai; Christian Igel (CoRR, 2019)

Characterization of Errors in Deep Learning-Based Brain MRI Segmentation - Akshay Pai; Yuan-Ching Teng; Joseph Blair; Michiel Kallenberg; Erik B. Dam; Stefan Sommer; Christian Igel; Mads Nielsen (Deep Learning for Medical Image Analysis, 1st Edition, 2017)

Simple Methods for Scanner Drift Normalization Validated for Automatic Segmentation of Knee Magnetic Resonance Imaging - with data from the Osteoarthritis Initiative - Erik B. Dam (CoRR, 2017)

Brain region's relative proximity as marker for Alzheimer's disease based on structural MRI - Lene Lillemark; Lauge Sørensen; Akshay Pai; Erik B. Dam; Mads Nielsen (BMC Medical Imaging, 2014)

Predicting knee cartilage loss using adaptive partitioning of cartilage thickness maps - Dan R. Jørgensen; Erik B. Dam; Martin Lillholm (Comput. Biol. Medicine, 2013)

Linear feature selection in texture analysis - A PLS based method - Joselene Marques; Christian Igel; Martin Lillholm; Erik B. Dam (Mach. Vis. Appl., 2013)

Femoral cartilage segmentation in Knee MRI scans using two stage voxel classification - Adhish Prasoon; Christian Igel; Marco Loog; François Lauze; Erik B. Dam; Mads Nielsen (35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013, Osaka, Japan, July 3-7, 2013, 2013)

Cube propagation for focal brain atrophy estimation - Akshay Pai; Lauge Sørensen; Sune Darkner; Peter Mysling; Dan R. Jørgensen; Erik B. Dam; Martin Lillholm; Joonmi Oh; Gennan Chen; Joyce Suhy; Jon Sporring; Mads Nielsen (10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013, 7-11 April, 2013, San Francisco, CA, USA, Proceedings, 2013)

Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural Network - Adhish Prasoon; Kersten Petersen; Christian Igel; François Lauze; Erik Dam; Mads Nielsen (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013 - 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part II, 2013)

Automatic measurement of wrist synovitis from contrast-enhanced MRI: a registration-centered approach - Peter Mysling; Sune Darkner; Jon Sporring; Erik Dam; Martin Lillholm (Medical Imaging 2013: Image Processing, Lake Buena Vista (Orlando Area), Florida, USA, February 10-12, 2013, 2013)

Morphometric connectivity analysis to distinguish normal, mild cognitive impaired, and Alzheimer subjects based on brain MRI - Lene Lillemark; Lauge Sørensen; Peter Mysling; Akshay Pai; Erik B. Dam; Mads Nielsen (Medical Imaging 2013: Image Processing, Lake Buena Vista (Orlando Area), Florida, USA, February 10-12, 2013, 2013)

Automatic analysis of trabecular bone structure from knee MRI - Joselene Marques; Rabia Granlund; Martin Lillholm; Paola Pettersen; Erik B. Dam (Comput. Biol. Medicine, 2012)

Distribution, Size, and Shape of Abdominal Aortic Calcified Deposits and Their Relationship to Mortality in Postmenopausal Women - Melanie Ganz; Marleen de Bruijne; Erik B. Dam; Paola Pettersen; Morten Asser Karsdal; Claus Christiansen; Mads Nielsen (Int. J. Biomed. Imaging, 2012)

Automatic Quantification of Tibio-Femoral Contact Area and Congruity - Sudhakar Tummala; Mads Nielsen; Martin Lillholm; Claus Christiansen; Erik B. Dam (IEEE Trans. Medical Imaging, 2012)

Cascaded classifier for large-scale data applied to automatic segmentation of articular cartilage - Adhish Prasoon; Christian Igel; Marco Loog; François Lauze; Erik Dam; Mads Nielsen (Medical Imaging 2012: Image Processing, San Diego, California, USA, February 4, 2012, 2012)

Maximum a Posteriori Estimation of Linear Shape Variation With Application to Vertebra and Cartilage Modeling - Alessandro Crimi; Martin Lillholm; Mads Nielsen; Anarta Ghosh; Marleen de Bruijne; Erik B. Dam; Jon Sporring (IEEE Trans. Medical Imaging, 2011)

Texture Analysis by a PLS Based Method for Combined Feature Extraction and Selection - Joselene Marques; Erik Dam (Machine Learning in Medical Imaging - Second International Workshop, MLMI 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011. Proceedings, 2011)

A framework for optimizing measurement weight maps to minimize the required sample size - Arish A. Qazi; Dan R. Jørgensen; Martin Lillholm; Marco Loog; Mads Nielsen; Erik B. Dam (Medical Image Anal., 2010)

Surface smoothness: cartilage biomarkers for knee OA beyond the radiologist - Sudhakar Tummala; Erik B. Dam (Medical Imaging 2010: Image Processing, San Diego, California, USA, February 14-16, 2010, 2010)

Automatic shape model building based on principal geodesic analysis bootstrapping - Erik B. Dam; P. Thomas Fletcher; Stephen M. Pizer (Medical Image Anal., 2008)

Efficient Segmentation by Sparse Pixel Classification - Erik B. Dam; Marco Loog (IEEE Trans. Medical Imaging, 2008)

A variational method for automatic localization of the most pathological ROI in the knee cartilage - Arish A. Qazi; Erik B. Dam; Marco Loog; Mads Nielsen; François Lauze; Claus Christiansen (Medical Imaging 2008: Image Processing, San Diego, California, United States, 16-21 February 2008, 2008)

Segmenting Articular Cartilage Automatically Using a Voxel Classification Approach - Jenny Folkesson; Erik Dam; Ole Fogh Olsen; Paola Pettersen; Claus Christiansen (IEEE Trans. Medical Imaging, 2007)

Automatic detection of diseased regions in knee cartilage - Arish A. Qazi; Erik B. Dam; Ole Fogh Olsen; Mads Nielsen; Claus Christiansen (Medical Imaging 2007: Image Processing, San Diego, CA, United States, 17-22 February 2007, 2007)

Semi-automatic knee cartilage segmentation - Erik B. Dam; Jenny Folkesson; Paola Pettersen; Claus Christiansen (Medical Imaging 2006: Image Processing, MEDICAL IMAGING, San Diego, California, United States, 11-16 February 2006, 2006)

Combining Binary Classifiers for Automatic Cartilage Segmentation in Knee MRI - Jenny Folkesson; Ole Fogh Olsen; Paola Pettersen; Erik Dam; Claus Christiansen (Computer Vision for Biomedical Image Applications, First International Workshop, CVBIA 2005, Beijing, China, October 21, 2005, Proceedings, 2005)

Automatic Segmentation of the Articular Cartilage in Knee MRI Using a Hierarchical Multi-class Classification Scheme - Jenny Folkesson; Erik Dam; Ole Fogh Olsen; Paola Pettersen; Claus Christiansen (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005, 8th International Conference, Palm Springs, CA, USA, October 26-29, 2005, Proceedings, Part I, 2005)

Locating articular cartilage in MR images - Jenny Folkesson; Erik Dam; Paola Pettersen; Ole Fogh Olsen; Mads Nielsen; Claus Christiansen (Medical Imaging 2005: Image Processing, San Diego, California, United States, 12-17 February 2005, 2005)

Integrating Automatic and Interactive Brain Tumor Segmentation - Erik Dam; Marco Loog; Marloes M. J. Letteboer (17th International Conference on Pattern Recognition, ICPR 2004, Cambridge, UK, August 23-26, 2004, 2004)

Prostate Shape Modeling Based on Principal Geodesic Analysis Bootstrapping - Erik Dam; P. Thomas Fletcher; Stephen M. Pizer; Gregg Tracton; Julian G. Rosenman (Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004, 7th International Conference Saint-Malo, France, September 26-29, 2004, Proceedings, Part II, 2004)

Approximating Non-linear Diffusion - Erik Dam; Ole Fogh Olsen; Mads Nielsen (Scale Space Methods in Computer Vision, 4th International Conference, Scale-Space 2003, Isle of Skye, UK, June 10-12, 2003, Proceedings, 2003)

Exploring Non-linear Diffusion: The Diffusion Echo - Erik Dam; Mads Nielsen (Scale-Space and Morphology in Computer Vision, Third International Conference, Scale-Space 2001, Vancouver, Canada, July 7-8, 2001, Proceedings, 2001)

Non-linear Diffusion for Interactive Multi-scale Watershed Segmentation - Erik Dam; Mads Nielsen (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2000, Third International Conference, Pittsburgh, Pennsylvania, USA, October 11-14, 2000, Proceedings, 2000)