Erik Dam

According to our database, Erik Dam authored at least 55 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., April, 2024

Equity through Access: A Case for Small-scale Deep Learning.

Raghavendra Selvan, Bob Pepin, Christian Igel, Gabrielle Samuel, Erik B. Dam

CoRR, 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

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

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., May, 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, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze

Medical Image Anal., 2023

Operating Critical Machine Learning Models in Resource Constrained Regimes.

Raghavendra Selvan, Julian Schön, Erik B. Dam

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 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

Proceedings of the Kidney and Kidney Tumor Segmentation - MICCAI 2023 Challenge, 2023

Comprehensive Multimodal Segmentation in Medical Imaging: Combining YOLOv8 with SAM and HQ-SAM Models.

Sumit Pandey, Kuan-Fu Chen, Erik B. Dam

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

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

Patch-based medical image segmentation using Quantum Tensor Networks.

Raghavendra Selvan, Erik B. Dam, Søren Alexander Flensborg, Jens Petersen

CoRR, 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

Segmenting Two-Dimensional Structures with Strided Tensor Networks.

Raghavendra Selvan, Erik B. Dam, Jens Petersen

Proceedings of the Information Processing in Medical Imaging, 2021

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, Kenneth L. Urish, Gustavo K. Rohde

Proc. Natl. Acad. Sci. USA, 2020

Multi-layered tensor networks for image classification.

Raghavendra Selvan, Silas Nyboe Ørting, Erik B. Dam

CoRR, 2020

Locally orderless tensor networks for classifying two- and three-dimensional medical images.

Raghavendra Selvan, Silas Nyboe Ørting, Erik B. Dam

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

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, Matthew O'Brien, Sharmila Majumdar, Mathias Perslev, Akshay Pai, Christian Igel, Erik B. Dam, Sibaji Gaj, Mingrui Yang, Kunio Nakamura, Xiaojuan Li, Cem M. Deniz, Vladimir Juras, Ravinder Regatte, Garry Gold, Brian A. Hargreaves, Valentina Pedoia, Akshay S. Chaudhari

CoRR, 2020

Tensor Networks for Medical Image Classification.

Raghavendra Selvan, Erik B. Dam

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

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

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

Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017

2014

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

2013

Linear feature selection in texture analysis - A PLS based method.

Joselene Marques, Christian Igel, Martin Lillholm, Erik B. Dam

Mach. Vis. Appl., 2013

Predicting knee cartilage loss using adaptive partitioning of cartilage thickness maps.

Dan R. Jørgensen, Erik B. Dam, Martin Lillholm

Comput. Biol. Medicine, 2013

Automatic measurement of wrist synovitis from contrast-enhanced MRI: a registration-centered approach.

Peter Mysling, Sune Darkner, Jon Sporring, Erik Dam, Martin Lillholm

Proceedings of the Medical Imaging 2013: Image Processing, 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

Proceedings of the Medical Imaging 2013: Image Processing, 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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 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

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 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

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

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

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 analysis of trabecular bone structure from knee MRI.

Joselene Marques, Rabia Granlund, Martin Lillholm, Paola Pettersen, Erik B. Dam

Comput. Biol. Medicine, 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

Proceedings of the Medical Imaging 2012: Image Processing, 2012

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

Texture Analysis by a PLS Based Method for Combined Feature Extraction and Selection.

Joselene Marques, Erik Dam

Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011

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

Surface smoothness: cartilage biomarkers for knee OA beyond the radiologist.

Sudhakar Tummala, Erik B. Dam

Proceedings of the Medical Imaging 2010: Image Processing, 2010

2008

Efficient Segmentation by Sparse Pixel Classification.

Erik B. Dam, Marco Loog

IEEE Trans. Medical Imaging, 2008

Automatic shape model building based on principal geodesic analysis bootstrapping.

Erik B. Dam, P. Thomas Fletcher, Stephen M. Pizer

Medical Image Anal., 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

Proceedings of the Medical Imaging 2008: Image Processing, 2008

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

Automatic detection of diseased regions in knee cartilage.

Arish A. Qazi, Erik B. Dam, Ole Fogh Olsen, Mads Nielsen, Claus Christiansen

Proceedings of the Medical Imaging 2007: Image Processing, 2007

2006

Semi-automatic knee cartilage segmentation.

Erik B. Dam, Jenny Folkesson, Paola Pettersen, Claus Christiansen

Proceedings of the Medical Imaging 2006: Image Processing, 2006

2005

Locating articular cartilage in MR images.

Jenny Folkesson, Erik Dam, Paola Pettersen, Ole Fogh Olsen, Mads Nielsen, Claus Christiansen

Proceedings of the Medical Imaging 2005: Image Processing, 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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

Combining Binary Classifiers for Automatic Cartilage Segmentation in Knee MRI.

Jenny Folkesson, Ole Fogh Olsen, Paola Pettersen, Erik Dam, Claus Christiansen

Proceedings of the Computer Vision for Biomedical Image Applications, 2005

2004

Prostate Shape Modeling Based on Principal Geodesic Analysis Bootstrapping.

Erik Dam, P. Thomas Fletcher, Stephen M. Pizer, Gregg Tracton, Julian G. Rosenman

Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

Integrating Automatic and Interactive Brain Tumor Segmentation.

Erik Dam, Marco Loog, Marloes M. J. Letteboer

Proceedings of the 17th International Conference on Pattern Recognition, 2004

2003

Approximating Non-linear Diffusion.

Erik Dam, Ole Fogh Olsen, Mads Nielsen

Proceedings of the Scale Space Methods in Computer Vision, 4th International Conference, 2003

2001

Exploring Non-linear Diffusion: The Diffusion Echo.

Erik Dam, Mads Nielsen

Proceedings of the Scale-Space and Morphology in Computer Vision, 2001

2000

Non-linear Diffusion for Interactive Multi-scale Watershed Segmentation.

Erik Dam, Mads Nielsen

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2000