output
20112023
most citedReading Race: AI Recognises Patient's Racial Identity In Medical Images

568 citations

11 papers

eess.IV2023★ 151 cited

The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions

Jun Ma, Ronald Xie, Shamini Ayyadhury +37

Cell segmentation is a critical step for quantitative single-cell analysis in microscopy images. Existing cell segmentation methods are often tailored to specific modalities or req…

eess.IV2021★ 90 cited

Noise2Fast: Fast Self-Supervised Single Image Blind Denoising

Jason Lequyer, Reuben Philip, Amit Sharma +1

In the last several years deep learning based approaches have come to dominate many areas of computer vision, and image denoising is no exception. Neural networks can learn by exam…

cs.CV2021★ 568 cited

Reading Race: AI Recognises Patient's Racial Identity In Medical Images

Imon Banerjee, Ananth Reddy Bhimireddy, John L. Burns +20

Background: In medical imaging, prior studies have demonstrated disparate AI performance by race, yet there is no known correlation for race on medical imaging that would be obviou…

physics.bio-ph2021★ 22 cited

Maximally predictive states: from partial observations to long timescales

Antonio Carlos Costa, Tosif Ahamed, David Jordan +1

Isolating slower dynamics from fast fluctuations has proven remarkably powerful, but how do we proceed from partial observations of dynamical systems for which we lack underlying e…

stat.AP2020

A Bayes Factor Approach with Informative Prior for Rare Genetic Variant Analysis from Next Generation Sequencing Data

Jingxiong Xu, Wei Xu, Laurent Briollais

The discovery of rare genetic variants through Next Generation Sequencing is a very challenging issue in the field of human genetics. We propose a novel region-based statistical ap…

stat.ME2020★ 1 cited

A Competing Risks Model with Binary Time Varying Covariates for Estimation of Breast Cancer Risks in BRCA1 Families

Yun-Hee Choi, Hae Jung, Saundra Buys +6

Mammographic screening and prophylactic surgery such as risk-reducing salpingo oophorectomy (RRSO) can potentially reduce breast cancer risks among mutation carriers of BRCA famili…

q-bio.QM2019★ 4 cited

Improving Prognostic Performance in Resectable Pancreatic Ductal Adenocarcinoma using Radiomics and Deep Learning Features Fusion in CT Images

Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas +3

As an analytic pipeline for quantitative imaging feature extraction and analysis, radiomics has grown rapidly in the past a few years. Recent studies in radiomics aim to investigat…

cs.CV2019★ 211 cited

Prostate Cancer Detection using Deep Convolutional Neural Networks

Sunghwan Yoo, Isha Gujrathi, Masoom A. Haider +1

Prostate cancer is one of the most common forms of cancer and the third leading cause of cancer death in North America. As an integrated part of computer-aided detection (CAD) tool…

q-bio.QM2019

Prognostic Value of Transfer Learning Based Features in Resectable Pancreatic Ductal Adenocarcinoma

Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas +3

Pancreatic Ductal Adenocarcinoma (PDAC) is one of the most aggressive cancers with an extremely poor prognosis. Radiomics has shown prognostic ability in multiple types of cancer i…

q-bio.GN2018★ 32 cited

The bromodomain-containing protein Ibd1 links multiple chromatin related protein complexes to highly expressed genes in Tetrahymena thermophila

Alejandro Saettone, Jyoti Garg, Jean-Philippe Lambert +7

Background: The chromatin remodelers of the SWI/SNF family are critical transcriptional regulators. Recognition of lysine acetylation through a bromodomain (BRD) component is key t…

cond-mat.stat-mech2011★ 1 cited

Topological Phases: An Expedition off Lattice

Michael H. Freedman, Lukas Gamper, Charlotte Gils +3

Motivated by the goal to give the simplest possible microscopic foundation for a broad class of topological phases, we study quantum mechanical lattice models where the topology of…