Erik Dam

Orcid: 0000-0002-8888-2524

According to our database1, Erik Dam authored at least 55 papers between 2000 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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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

Equity through Access: A Case for Small-scale Deep Learning.
CoRR, 2024

Fully Automated Tumor Segmentation for Brain MRI data using Multiplanner UNet.
CoRR, 2024

CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning.
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.
Int. J. Imaging Syst. Technol., May, 2023

The Liver Tumor Segmentation Benchmark (LiTS).
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Medical Image Anal., 2023

Operating Critical Machine Learning Models in Resource Constrained Regimes.
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

Patch-based medical image segmentation using Quantum Tensor Networks.
CoRR, 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

Segmenting Two-Dimensional Structures with Strided Tensor Networks.
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

Multi-layered tensor networks for image classification.
CoRR, 2020

Locally orderless tensor networks for classifying two- and three-dimensional medical images.
CoRR, 2020

Lung Segmentation from Chest X-rays using Variational Data Imputation.
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

Tensor Networks for Medical Image Classification.
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

Characterization of Errors in Deep Learning-Based Brain MRI Segmentation.
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
Linear feature selection in texture analysis - A PLS based method.
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

Cube propagation for focal brain atrophy estimation.
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
Automatic Quantification of Tibio-Femoral Contact Area and Congruity.
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

Automatic analysis of trabecular bone structure from knee MRI.
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

Surface smoothness: cartilage biomarkers for knee OA beyond the radiologist.
Proceedings of the Medical Imaging 2010: Image Processing, 2010

2008
Efficient Segmentation by Sparse Pixel Classification.
IEEE Trans. Medical Imaging, 2008

Automatic shape model building based on principal geodesic analysis bootstrapping.
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
Segmenting Articular Cartilage Automatically Using a Voxel Classification Approach.
IEEE Trans. Medical Imaging, 2007

Automatic detection of diseased regions in knee cartilage.
Proceedings of the Medical Imaging 2007: Image Processing, 2007

2006
Semi-automatic knee cartilage segmentation.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

2005
Locating articular cartilage in MR images.
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

Combining Binary Classifiers for Automatic Cartilage Segmentation in Knee MRI.
Proceedings of the Computer Vision for Biomedical Image Applications, 2005

2004
Prostate Shape Modeling Based on Principal Geodesic Analysis Bootstrapping.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

Integrating Automatic and Interactive Brain Tumor Segmentation.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

2003
Approximating Non-linear Diffusion.
Proceedings of the Scale Space Methods in Computer Vision, 4th International Conference, 2003

2001
Exploring Non-linear Diffusion: The Diffusion Echo.
Proceedings of the Scale-Space and Morphology in Computer Vision, 2001

2000
Non-linear Diffusion for Interactive Multi-scale Watershed Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2000


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