default search action
Erik Dam
Erik B. Dam – Erik Bjørnager Dam
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [j18]Frederik L. Johansen
, Andy S. Anker
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
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
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
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
Advancing Kidney, Kidney Tumor, Cyst Segmentation: A Multi-Planner U-Net Approach for the KiTS23 Challenge. KiTS@MICCAI 2023: 143-148 - [c24]Raghavendra Selvan
Operating Critical Machine Learning Models in Resource Constrained Regimes. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 325-335 - [i13]Raghavendra Selvan, Julian Schön
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
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
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
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
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
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
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
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
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
Lung Segmentation from Chest X-rays using Variational Data Imputation. CoRR abs/2005.10052 (2020) - [i4]Raghavendra Selvan
Locally orderless tensor networks for classifying two- and three-dimensional medical images. CoRR abs/2009.12280 (2020) - [i3]Raghavendra Selvan
Multi-layered tensor networks for image classification. CoRR abs/2011.06982 (2020)
2010 – 2019
- 2019
- [j12]Leise Borg, Jon Sporring
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
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
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
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
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
Femoral cartilage segmentation in Knee MRI scans using two stage voxel classification. EMBC 2013: 5469-5472 - [c18]Akshay Pai, Lauge Sørensen
Cube propagation for focal brain atrophy estimation. ISBI 2013: 402-405 - [c17]Adhish Prasoon, Kersten Petersen, Christian Igel, François Lauze
Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural Network. MICCAI (2) 2013: 246-253 - [c16]Peter Mysling, Sune Darkner
Automatic measurement of wrist synovitis from contrast-enhanced MRI: a registration-centered approach. Image Processing 2013: 86692U - [c15]Lene Lillemark, Lauge Sørensen
Morphometric connectivity analysis to distinguish normal, mild cognitive impaired, and Alzheimer subjects based on brain MRI. 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
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
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
Cascaded classifier for large-scale data applied to automatic segmentation of articular cartilage. Image Processing 2012: 83144V - 2011
- [j5]Alessandro Crimi
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
A framework for optimizing measurement weight maps to minimize the required sample size. Medical Image Anal. 14(3): 255-264 (2010) - [c12]Sudhakar Tummala
Surface smoothness: cartilage biomarkers for knee OA beyond the radiologist. Image Processing 2010: 762323
2000 – 2009
- 2008
- [j3]Erik B. Dam
Automatic shape model building based on principal geodesic analysis bootstrapping. Medical Image Anal. 12(2): 136-151 (2008) - [j2]Erik B. Dam
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
A variational method for automatic localization of the most pathological ROI in the knee cartilage. Image Processing 2008: 69140T - 2007
- [j1]Jenny Folkesson, Erik Dam
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. Image Processing 2007: 651211 - 2006
- [c9]Erik B. Dam, Jenny Folkesson, Paola Pettersen, Claus Christiansen:
Semi-automatic knee cartilage segmentation. 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. 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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-28 21:28 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: