Non-linear Diffusion for Interactive Multi-scale Watershed Segmentation. - Erik Dam; Mads Nielsen (MICCAI, 2000)

Exploring Non-linear Diffusion: The Diffusion Echo. - Erik Dam; Mads Nielsen (Scale-Space, 2001)

Approximating Non-linear Diffusion. - Erik Dam; Ole Fogh Olsen; Mads Nielsen (Scale-Space, 2003)

Integrating Automatic and Interactive Brain Tumor Segmentation. - Erik Dam; Marco Loog; Marloes M. J. Letteboer (ICPR (3), 2004)

Prostate Shape Modeling Based on Principal Geodesic Analysis Bootstrapping. - Erik Dam; P. Thomas Fletcher; Stephen M. Pizer; Gregg Tracton; Julian G. Rosenman (MICCAI (2), 2004)

Combining Binary Classifiers for Automatic Cartilage Segmentation in Knee MRI. - Jenny Folkesson; Ole Fogh Olsen; Paola Pettersen; Erik Dam; Claus Christiansen (CVBIA, 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 (MICCAI, 2005)

Locating articular cartilage in MR images. - Jenny Folkesson; Erik Dam; Paola Pettersen; Ole Fogh Olsen; Mads Nielsen; Claus Christiansen (Image Processing, 2005)

Semi-automatic knee cartilage segmentation. - Erik B. Dam; Jenny Folkesson; Paola Pettersen; Claus Christiansen (Image Processing, 2006)

Automatic detection of diseased regions in knee cartilage. - Arish A. Qazi; Erik B. Dam; Ole Fogh Olsen; Mads Nielsen; Claus Christiansen (Image Processing, 2007)

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)

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 (Image Processing, 2008)

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)

Surface smoothness: cartilage biomarkers for knee OA beyond the radiologist. - Sudhakar Tummala; Erik B. Dam (Image Processing, 2010)

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)

Texture Analysis by a PLS Based Method for Combined Feature Extraction and Selection. - Joselene Marques; Erik Dam (MLMI, 2011)

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)

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 (Image Processing, 2012)

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)

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 (EMBC, 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 (ISBI, 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 (MICCAI (2), 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 (Image Processing, 2013)

Automatic measurement of wrist synovitis from contrast-enhanced MRI: a registration-centered approach. - Peter Mysling; Sune Darkner; Jon Sporring; Erik Dam; Martin Lillholm (Image Processing, 2013)

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)

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)

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, 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)

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 (MICCAI (2), 2019)

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)

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

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 001; Kenneth L. Urish; Gustavo K. Rohde (Proc. Natl. Acad. Sci. USA, 2020)

Segmenting Two-Dimensional Structures with Strided Tensor Networks. - Raghavendra Selvan; Erik B. Dam; Jens Petersen (IPMI, 2021)

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)

Patch-based medical image segmentation using Quantum Tensor Networks. - Raghavendra Selvan; Erik B. Dam; Søren Alexander Flensborg; Jens Petersen (CoRR, 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 001; Kenneth L. Urish; Gustavo K. Rohde (Proc. Natl. Acad. Sci. USA, 2021)

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 (MICCAI (5), 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)

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

Operating Critical Machine Learning Models in Resource Constrained Regimes. - Raghavendra Selvan; Julian Schön; Erik B. Dam (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 2023)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Hongwei Li 004; 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)

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)

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 (KDD, 2024)

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

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)

PePR: Performance Per Resource Unit as a Metric to Promote Small-scale Deep Learning. - Raghavendra Selvan; Bob Pepin; Christian Igel; Gabrielle Samuel; Erik B. Dam (NLDL, 2025)

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)