output
19952020
most citedCOVID-19 Image Data Collection: Prospective Predictions Are the Future

960 citations

9 papers

q-bio.QM2020★ 960 cited

COVID-19 Image Data Collection: Prospective Predictions Are the Future

Joseph Paul Cohen, Paul Morrison, Lan Dao +3

Across the world's coronavirus disease 2019 (COVID-19) hot spots, the need to streamline patient diagnosis and management has become more pressing than ever. As one of the main ima…

cs.GR2020

Representing Whole Slide Cancer Image Features with Hilbert Curves

Erich Bremer, Jonas Almeida, Joel Saltz

Regions of Interest (ROI) contain morphological features in pathology whole slide images (WSI) are delimited with polygons[1]. These polygons are often represented in either a text…

eess.SP2020★ 1 cited

Explicit Circular Harmonic Inversions of Exponential Radon Transform

Jiangsheng You, Geyang Du, Gengsheng L Zeng +1

Using Plemelj formula we obtain three circular harmonic inversion formulas of the exponential Radon transform with complex coefficients. We also derive two different range conditio…

eess.IV2019★ 7 cited

Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor Infiltrating Lymphocytes in Invasive Breast Cancer

Han Le, Rajarsi Gupta, Le Hou +12

Quantitative assessment of Tumor-TIL spatial relationships is increasingly important in both basic science and clinical aspects of breast cancer research. We have developed and eva…

cs.CV2017★ 4 cited

Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images

Le Hou, Vu Nguyen, Dimitris Samaras +4

Histopathology images are crucial to the study of complex diseases such as cancer. The histologic characteristics of nuclei play a key role in disease diagnosis, prognosis and anal…

cs.CV2017★ 2 cited

Center-Focusing Multi-task CNN with Injected Features for Classification of Glioma Nuclear Images

Veda Murthy, Le Hou, Dimitris Samaras +2

Classifying the various shapes and attributes of a glioma cell nucleus is crucial for diagnosis and understanding the disease. We investigate automated classification of glioma nuc…

cs.CV2015★ 33 cited

Patch-based Convolutional Neural Network for Whole Slide Tissue Image Classification

Le Hou, Dimitris Samaras, Tahsin M. Kurc +3

Convolutional Neural Networks (CNN) are state-of-the-art models for many image classification tasks. However, to recognize cancer subtypes automatically, training a CNN on gigapixe…

cond-mat.stat-mech2001★ 32 cited

Liquid-gas phase behaviour of an argon-like fluid modelled by the hard-core two-Yukawa potential

D. Pini, G. Stell, N. B. Wilding

We study a model for an argon-like fluid parameterised in terms of a hard-core repulsion and a two-Yukawa potential. The liquid-gas phase behaviour of the model is obtained from th…

chem-ph1995★ 24 cited

Critical Behavior of the Widom-Rowlinson Lattice Model

Ronald Dickman, George Stell

We report extensive Monte Carlo simulations of the Widom-Rowlinson lattice model in two and three dimensions. Our results yield precise values for the critical activities and densi…