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Erik Dam
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2020 – today
- 2024
- [j18]Frederik L. Johansen
, Andy S. Anker
, Ulrik Friis-Jensen
, Erik B. Dam
, Kirsten M. Ø. Jensen
, Raghavendra Selvan
:
A GPU-Accelerated Open-Source Python Package for Calculating Powder Diffraction, Small-Angle-, and Total Scattering with the Debye Scattering Equation. J. Open Source Softw. 9(96): 6024 (2024) - [c27]Ulrik Friis-Jensen, Frederik L. Johansen, Andy S. Anker, Erik B. Dam, Kirsten M. Ø. Jensen, Raghavendra Selvan:
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning. KDD 2024: 4962-4973 - [i16]Sumit Pandey, Satyasaran Changdar, Mathias Perslev, Erik B. Dam:
Fully Automated Tumor Segmentation for Brain MRI data using Multiplanner UNet. CoRR abs/2401.06499 (2024) - [i15]Ulrik Friis-Jensen, Frederik L. Johansen, Andy S. Anker, Erik B. Dam, Kirsten M. Ø. Jensen, Raghavendra Selvan:
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning. CoRR abs/2402.13221 (2024) - [i14]Raghavendra Selvan, Bob Pepin, Christian Igel, Gabrielle Samuel, Erik B. Dam:
Equity through Access: A Case for Small-scale Deep Learning. CoRR abs/2403.12562 (2024) - 2023
- [j17]Sandeep Singh Sengar
, Christopher Meulengracht, Mikael Ploug Boesen, Anders Føhrby Overgaard, Henrik Gudbergsen
, Janus Damm Nybing, Mathias Perslev
, Erik Bjørnager Dam
:
Multi-planar 3D knee MRI segmentation via UNet inspired architectures. Int. J. Imaging Syst. Technol. 33(3): 985-998 (2023) - [j16]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:
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84: 102680 (2023) - [c26]Sumit Pandey, Kuan-Fu Chen, Erik B. Dam
:
Comprehensive Multimodal Segmentation in Medical Imaging: Combining YOLOv8 with SAM and HQ-SAM Models. ICCV (Workshops) 2023: 2584-2590 - [c25]Sumit Pandey, Toshali, Mathias Perslev
, Erik B. Dam
:
Advancing Kidney, Kidney Tumor, Cyst Segmentation: A Multi-Planner U-Net Approach for the KiTS23 Challenge. KiTS@MICCAI 2023: 143-148 - [c24]Raghavendra Selvan
, Julian Schön
, Erik B. Dam
:
Operating Critical Machine Learning Models in Resource Constrained Regimes. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 325-335 - [i13]Raghavendra Selvan, Julian Schön
, Erik B. Dam:
Operating critical machine learning models in resource constrained regimes. CoRR abs/2303.10181 (2023) - [i12]Sumit Pandey, Kuan-Fu Chen, Erik B. Dam:
Comprehensive Multimodal Segmentation in Medical Imaging: Combining YOLOv8 with SAM and HQ-SAM Models. CoRR abs/2310.12995 (2023) - 2022
- [c23]Raghavendra Selvan, Nikhil Bhagwat
, Lasse F. Wolff Anthony, Benjamin Kanding, Erik B. Dam:
Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis. MICCAI (5) 2022: 506-516 - [i11]Raghavendra Selvan, Nikhil Bhagwat, Lasse F. Wolff Anthony, Benjamin Kanding, Erik B. Dam:
Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis. CoRR abs/2203.02202 (2022) - [i10]Sandeep Singh Sengar, Christopher Meulengracht, Mikael Ploug Boesen, Anders Føhrby Overgaard, Henrik Gudbergsen, Janus Damm Nybing, Erik Bjørnager Dam:
UNet Architectures in Multiplanar Volumetric Segmentation - Validated on Three Knee MRI Cohorts. CoRR abs/2203.08194 (2022) - 2021
- [j15]Sudhakar Tummala
, Venkata Sainath Gupta Thadikemalla
, Barbara A. K. Kreilkamp
, Erik B. Dam
, Niels K. Focke
:
Fully automated quality control of rigid and affine registrations of T1w and T2w MRI in big data using machine learning. Comput. Biol. Medicine 139: 104997 (2021) - [j14]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:
Reply to Roemer and Guermazi: Early biochemical changes on MRI can predict risk of symptomatic progression. Proc. Natl. Acad. Sci. USA 118(11): e2024679118 (2021) - [c22]Raghavendra Selvan
, Erik B. Dam
, Jens Petersen
:
Segmenting Two-Dimensional Structures with Strided Tensor Networks. IPMI 2021: 401-414 - [i9]Raghavendra Selvan, Erik B. Dam, Jens Petersen:
Segmenting two-dimensional structures with strided tensor networks. CoRR abs/2102.06900 (2021) - [i8]Raghavendra Selvan
, Erik B. Dam
, Søren Alexander Flensborg, Jens Petersen
:
Patch-based medical image segmentation using Quantum Tensor Networks. CoRR abs/2109.07138 (2021) - 2020
- [j13]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:
Enabling early detection of osteoarthritis from presymptomatic cartilage texture maps via transport-based learning. Proc. Natl. Acad. Sci. USA 117(40): 24709-24719 (2020) - [c21]Raghavendra Selvan, Erik B. Dam:
Tensor Networks for Medical Image Classification. MIDL 2020: 721-732 - [i7]Raghavendra Selvan
, Erik B. Dam
:
Tensor Networks for Medical Image Classification. CoRR abs/2004.10076 (2020) - [i6]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:
The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset. CoRR abs/2004.14003 (2020) - [i5]Raghavendra Selvan
, Erik B. Dam
, Sofus Rischel, Kaining Sheng, Mads Nielsen, Akshay Pai:
Lung Segmentation from Chest X-rays using Variational Data Imputation. CoRR abs/2005.10052 (2020) - [i4]Raghavendra Selvan
, Silas Nyboe Ørting
, Erik B. Dam
:
Locally orderless tensor networks for classifying two- and three-dimensional medical images. CoRR abs/2009.12280 (2020) - [i3]Raghavendra Selvan
, Silas Nyboe Ørting
, Erik B. Dam
:
Multi-layered tensor networks for image classification. CoRR abs/2011.06982 (2020)
2010 – 2019
- 2019
- [j12]Leise Borg, Jon Sporring
, Erik B. Dam
, Vedrana Andersen Dahl
, Tim B. Dyrby
, Robert Feidenhans'l
, Anders B. Dahl
, Jessica Pingel
:
Muscle fibre morphology and microarchitecture in cerebral palsy patients obtained by 3D synchrotron X-ray computed tomography. Comput. Biol. Medicine 107: 265-269 (2019) - [c20]Mathias Perslev
, Erik Bjørnager Dam
, Akshay Pai, Christian Igel:
One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation. MICCAI (2) 2019: 30-38 - [i2]Mathias Perslev, Erik Bjørnager Dam, Akshay Pai, Christian Igel:
One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation. CoRR abs/1911.01764 (2019) - 2017
- [p1]Akshay Pai, Yuan-Ching Teng, Joseph Blair, Michiel Kallenberg
, Erik B. Dam
, Stefan Sommer
, Christian Igel, Mads Nielsen:
Characterization of Errors in Deep Learning-Based Brain MRI Segmentation. Deep Learning for Medical Image Analysis 2017: 223-242 - [i1]Erik B. Dam:
Simple Methods for Scanner Drift Normalization Validated for Automatic Segmentation of Knee Magnetic Resonance Imaging - with data from the Osteoarthritis Initiative. CoRR abs/1712.08425 (2017) - 2014
- [j11]Lene Lillemark, Lauge Sørensen
, Akshay Pai, Erik B. Dam
, Mads Nielsen:
Brain region's relative proximity as marker for Alzheimer's disease based on structural MRI. BMC Medical Imaging 14: 21 (2014) - 2013
- [j10]Dan R. Jørgensen
, Erik B. Dam
, Martin Lillholm:
Predicting knee cartilage loss using adaptive partitioning of cartilage thickness maps. Comput. Biol. Medicine 43(8): 1045-1052 (2013) - [j9]Joselene Marques, Christian Igel, Martin Lillholm, Erik B. Dam:
Linear feature selection in texture analysis - A PLS based method. Mach. Vis. Appl. 24(7): 1435-1444 (2013) - [c19]Adhish Prasoon, Christian Igel, Marco Loog, François Lauze
, Erik B. Dam, Mads Nielsen:
Femoral cartilage segmentation in Knee MRI scans using two stage voxel classification. EMBC 2013: 5469-5472 - [c18]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:
Cube propagation for focal brain atrophy estimation. ISBI 2013: 402-405 - [c17]Adhish Prasoon, Kersten Petersen, Christian Igel, François Lauze
, Erik Dam
, Mads Nielsen:
Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural Network. MICCAI (2) 2013: 246-253 - [c16]Peter Mysling, Sune Darkner
, Jon Sporring
, Erik Dam, Martin Lillholm:
Automatic measurement of wrist synovitis from contrast-enhanced MRI: a registration-centered approach. Medical Imaging: Image Processing 2013: 86692U - [c15]Lene Lillemark, Lauge Sørensen
, Peter Mysling, Akshay Pai, Erik B. Dam, Mads Nielsen:
Morphometric connectivity analysis to distinguish normal, mild cognitive impaired, and Alzheimer subjects based on brain MRI. Medical Imaging: Image Processing 2013: 866926 - 2012
- [j8]Joselene Marques, Rabia Granlund, Martin Lillholm, Paola Pettersen, Erik B. Dam:
Automatic analysis of trabecular bone structure from knee MRI. Comput. Biol. Medicine 42(7): 735-742 (2012) - [j7]Melanie Ganz
, Marleen de Bruijne
, Erik B. Dam, Paola Pettersen, Morten Asser Karsdal
, Claus Christiansen, Mads Nielsen:
Distribution, Size, and Shape of Abdominal Aortic Calcified Deposits and Their Relationship to Mortality in Postmenopausal Women. Int. J. Biomed. Imaging 2012: 459286:1-459286:8 (2012) - [j6]Sudhakar Tummala
, Mads Nielsen, Martin Lillholm, Claus Christiansen, Erik B. Dam
:
Automatic Quantification of Tibio-Femoral Contact Area and Congruity. IEEE Trans. Medical Imaging 31(7): 1404-1412 (2012) - [c14]Adhish Prasoon, Christian Igel, Marco Loog, François Lauze
, Erik Dam, Mads Nielsen:
Cascaded classifier for large-scale data applied to automatic segmentation of articular cartilage. Medical Imaging: Image Processing 2012: 83144V - 2011
- [j5]Alessandro Crimi
, Martin Lillholm, Mads Nielsen, Anarta Ghosh, Marleen de Bruijne
, Erik B. Dam, Jon Sporring
:
Maximum a Posteriori Estimation of Linear Shape Variation With Application to Vertebra and Cartilage Modeling. IEEE Trans. Medical Imaging 30(8): 1514-1526 (2011) - [c13]Joselene Marques, Erik Dam:
Texture Analysis by a PLS Based Method for Combined Feature Extraction and Selection. MLMI 2011: 109-116 - 2010
- [j4]Arish A. Qazi, Dan R. Jørgensen
, Martin Lillholm, Marco Loog, Mads Nielsen, Erik B. Dam
:
A framework for optimizing measurement weight maps to minimize the required sample size. Medical Image Anal. 14(3): 255-264 (2010) - [c12]Sudhakar Tummala
, Erik B. Dam:
Surface smoothness: cartilage biomarkers for knee OA beyond the radiologist. Medical Imaging: Image Processing 2010: 762323
2000 – 2009
- 2008
- [j3]Erik B. Dam
, P. Thomas Fletcher, Stephen M. Pizer:
Automatic shape model building based on principal geodesic analysis bootstrapping. Medical Image Anal. 12(2): 136-151 (2008) - [j2]Erik B. Dam
, Marco Loog:
Efficient Segmentation by Sparse Pixel Classification. IEEE Trans. Medical Imaging 27(10): 1525-1534 (2008) - [c11]Arish A. Qazi, Erik B. Dam, Marco Loog, Mads Nielsen, François Lauze
, Claus Christiansen:
A variational method for automatic localization of the most pathological ROI in the knee cartilage. Medical Imaging: Image Processing 2008: 69140T - 2007
- [j1]Jenny Folkesson, Erik Dam
, Ole Fogh Olsen, Paola Pettersen, Claus Christiansen:
Segmenting Articular Cartilage Automatically Using a Voxel Classification Approach. IEEE Trans. Medical Imaging 26(1): 106-115 (2007) - [c10]Arish A. Qazi, Erik B. Dam, Ole Fogh Olsen, Mads Nielsen, Claus Christiansen:
Automatic detection of diseased regions in knee cartilage. Medical Imaging: Image Processing 2007: 651211 - 2006
- [c9]Erik B. Dam, Jenny Folkesson, Paola Pettersen, Claus Christiansen:
Semi-automatic knee cartilage segmentation. Medical Imaging: Image Processing 2006: 614441 - 2005
- [c8]Jenny Folkesson, Ole Fogh Olsen, Paola Pettersen, Erik Dam, Claus Christiansen:
Combining Binary Classifiers for Automatic Cartilage Segmentation in Knee MRI. CVBIA 2005: 230-239 - [c7]Jenny Folkesson, Erik Dam, Ole Fogh Olsen, Paola Pettersen, Claus Christiansen:
Automatic Segmentation of the Articular Cartilage in Knee MRI Using a Hierarchical Multi-class Classification Scheme. MICCAI 2005: 327-334 - [c6]Jenny Folkesson, Erik Dam, Paola Pettersen, Ole Fogh Olsen, Mads Nielsen, Claus Christiansen:
Locating articular cartilage in MR images. Medical Imaging: Image Processing 2005 - 2004
- [c5]Erik Dam, Marco Loog, Marloes M. J. Letteboer:
Integrating Automatic and Interactive Brain Tumor Segmentation. ICPR (3) 2004: 790-793 - [c4]Erik Dam, P. Thomas Fletcher, Stephen M. Pizer, Gregg Tracton, Julian G. Rosenman:
Prostate Shape Modeling Based on Principal Geodesic Analysis Bootstrapping. MICCAI (2) 2004: 1008-1016 - 2003
- [c3]Erik Dam, Ole Fogh Olsen, Mads Nielsen:
Approximating Non-linear Diffusion. Scale-Space 2003: 117-131 - 2001
- [c2]Erik Dam, Mads Nielsen:
Exploring Non-linear Diffusion: The Diffusion Echo. Scale-Space 2001: 264-272 - 2000
- [c1]Erik Dam, Mads Nielsen:
Non-linear Diffusion for Interactive Multi-scale Watershed Segmentation. MICCAI 2000: 216-225
Coauthor Index
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last updated on 2024-08-28 22:33 CEST by the dblp team
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