390 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Université Pierre-et-Marie-CurieFR16 papers
- University of PittsburghUS13 papers
- Centre National de la Recherche ScientifiqueFR9 papers
- Carnegie Mellon UniversityUS7 papers
- InsermFR4 papers
- Institut national de recherche en sciences et technologies du numériqueFR4 papers
- Sorbonne UniversitéFR4 papers
- The University of Texas Southwestern Medical CenterUS4 papers
- Athinoula A. Martinos Center for Biomedical ImagingUS3 papers
- Harvard UniversityUS3 papers
- Institut de Mathématiques de Jussieu-Paris Rive GaucheFR3 papers
- Massachusetts General HospitalUS3 papers
4 papers · 1 filter
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results
Raghav Mehta, Angelos Filos, Ujjwal Baid +89
Deep learning (DL) models have provided state-of-the-art performance in various medical imaging benchmarking challenges, including the Brain Tumor Segmentation (BraTS) challenges.…
Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification
Jun Luo, Gene Kitamura, Dooman Arefan +3
Elbow fracture diagnosis often requires patients to take both frontal and lateral views of elbow X-ray radiographs. In this paper, we propose a multiview deep learning method for a…
Interpretable Network Representation Learning with Principal Component Analysis
James D. Wilson, Jihui Lee
We consider the problem of interpretable network representation learning for samples of network-valued data. We propose the Principal Component Analysis for Networks (PCAN) algorit…
Fine-Tuning and Training of DenseNet for Histopathology Image Representation Using TCGA Diagnostic Slides
Abtin Riasatian, Morteza Babaie, Danial Maleki +19
Feature vectors provided by pre-trained deep artificial neural networks have become a dominant source for image representation in recent literature. Their contribution to the perfo…