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
Dense Pixel-Labeling for Reverse-Transfer and Diagnostic Learning on Lung Ultrasound for COVID-19 and Pneumonia Detection
Gautam Rajendrakumar Gare, Andrew Schoenling, Vipin Philip +4
We propose using a pre-trained segmentation model to perform diagnostic classification in order to achieve better generalization and interpretability, terming the technique reverse…
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…
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…