Erik Dam
Orcid: 0000-0002-8888-2524
According to our database1,
Erik Dam
authored at least 55 papers
between 2000 and 2024.
Collaborative distances:
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Bibliography
2024
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., April, 2024
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning.
CoRR, 2024
CoRR, 2024
2023
Int. J. Imaging Syst. Technol., May, 2023
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.
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.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
UNet Architectures in Multiplanar Volumetric Segmentation - Validated on Three Knee MRI Cohorts.
CoRR, 2022
Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis.
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.
Proc. Natl. Acad. Sci. USA, 2021
Fully automated quality control of rigid and affine registrations of T1w and T2w MRI in big data using machine learning.
Comput. Biol. Medicine, 2021
Proceedings of the Information Processing in Medical Imaging, 2021
2020
Enabling early detection of osteoarthritis from presymptomatic cartilage texture maps via transport-based learning.
Proc. Natl. Acad. Sci. USA, 2020
Locally orderless tensor networks for classifying two- and three-dimensional medical images.
CoRR, 2020
The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset.
CoRR, 2020
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.
Comput. Biol. Medicine, 2019
One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation.
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.
CoRR, 2017
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.
BMC Medical Imaging, 2014
2013
Mach. Vis. Appl., 2013
Predicting knee cartilage loss using adaptive partitioning of cartilage thickness maps.
Comput. Biol. Medicine, 2013
Automatic measurement of wrist synovitis from contrast-enhanced MRI: a registration-centered approach.
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.
Proceedings of the Medical Imaging 2013: Image Processing, 2013
Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural Network.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
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.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
IEEE Trans. Medical Imaging, 2012
Distribution, Size, and Shape of Abdominal Aortic Calcified Deposits and Their Relationship to Mortality in Postmenopausal Women.
Int. J. Biomed. Imaging, 2012
Comput. Biol. Medicine, 2012
Cascaded classifier for large-scale data applied to automatic segmentation of articular cartilage.
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.
IEEE Trans. Medical Imaging, 2011
Texture Analysis by a PLS Based Method for Combined Feature Extraction and Selection.
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.
Medical Image Anal., 2010
Proceedings of the Medical Imaging 2010: Image Processing, 2010
2008
IEEE Trans. Medical Imaging, 2008
Medical Image Anal., 2008
A variational method for automatic localization of the most pathological ROI in the knee cartilage.
Proceedings of the Medical Imaging 2008: Image Processing, 2008
2007
IEEE Trans. Medical Imaging, 2007
Proceedings of the Medical Imaging 2007: Image Processing, 2007
2006
Proceedings of the Medical Imaging 2006: Image Processing, 2006
2005
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.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005
Proceedings of the Computer Vision for Biomedical Image Applications, 2005
2004
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004
Proceedings of the 17th International Conference on Pattern Recognition, 2004
2003
Proceedings of the Scale Space Methods in Computer Vision, 4th International Conference, 2003
2001
Proceedings of the Scale-Space and Morphology in Computer Vision, 2001
2000
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2000