14.3k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Columbia UniversityUS16 papers
- Harvard UniversityUS13 papers
- Stanford UniversityUS12 papers
- Cornell UniversityUS11 papers
- National Institutes of HealthUS7 papers
- New York UniversityUS7 papers
- University of California, San FranciscoUS7 papers
- Emory UniversityUS6 papers
- Georgia Institute of TechnologyUS6 papers
- Hebrew University of JerusalemIL6 papers
- Imperial College LondonGB6 papers
- Mayo ClinicUS6 papers
10 papers · 1 filter
BACH: Grand Challenge on Breast Cancer Histology Images
Guilherme Aresta, Teresa Araújo, Scotty Kwok +33
Breast cancer is the most common invasive cancer in women, affecting more than 10% of women worldwide. Microscopic analysis of a biopsy remains one of the most important methods to…
Confounding variables can degrade generalization performance of radiological deep learning models
John R. Zech, Marcus A. Badgeley, Manway Liu +3
Early results in using convolutional neural networks (CNNs) on x-rays to diagnose disease have been promising, but it has not yet been shown that models trained on x-rays from one…
Insights into Complex Brain Functions Related to Schizophrenia Disorder through Causal Network Analysis
Akram Yazdani, Raul Mendez Giraldez, Ahmad Samiei
Gene expression represents a fundamental interface between genes and environment in the development and ongoing plasticity of the human organism. Individual differences in gene exp…
Quantifying the Sensitivity of HIV-1 Viral Entry to Receptor and Coreceptor Expression
Bhaven Mistry, Maria R. D'Orsogna, Nicholas E. Webb +2
Infection by many viruses begins with fusion of viral and cellular lipid membranes, followed by entry of viral contents into the target cell and ultimately, after many biochemical…
Model-based clustering of multi-tissue gene expression data
Pau Erola, Johan LM Björkegren, Tom Michoel
Recently, it has become feasible to generate large-scale, multi-tissue gene expression data, where expression profiles are obtained from multiple tissues or organs sampled from doz…
Exploiting Task-Oriented Resources to Learn Word Embeddings for Clinical Abbreviation Expansion
Yue Liu, Tao Ge, Kusum S. Mathews +2
In the medical domain, identifying and expanding abbreviations in clinical texts is a vital task for both better human and machine understanding. It is a challenging task because m…
Processing of Electronic Health Records using Deep Learning: A review
Venet Osmani, Li Li, Matteo Danieletto +3
Availability of large amount of clinical data is opening up new research avenues in a number of fields. An exciting field in this respect is healthcare, where secondary use of heal…
Adversarial Image Registration with Application for MR and TRUS Image Fusion
Pingkun Yan, Sheng Xu, Ardeshir R. Rastinehad +1
Robust and accurate alignment of multimodal medical images is a very challenging task, which however is very useful for many clinical applications. For example, magnetic resonance…
Fierce selection and interference in B-cell repertoire response to chronic HIV-1
Armita Nourmohammad, Jakub Otwinowski, Marta Łuksza +2
During chronic infection, HIV-1 engages in a rapid coevolutionary arms race with the host's adaptive immune system. While it is clear that HIV exerts strong selection on the adapti…
Tournament Leave-pair-out Cross-validation for Receiver Operating Characteristic (ROC) Analysis
Ileana Montoya Perez, Antti Airola, Peter J. Boström +2
Receiver operating characteristic (ROC) analysis is widely used for evaluating diagnostic systems. Recent studies have shown that estimating an area under ROC curve (AUC) with stan…