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Computer Science

D-Index
42
Citations
8783
World Ranking
8293
National Ranking
3556

Overview

Lee Cooper is affiliated with Northwestern University in the United States. Their research spans a combination of medicine, computer science, and biochemistry, genetics, and molecular biology, with a significant focus on artificial intelligence and its applications in healthcare.

The main fields of study in their work include:

  • Medicine
  • Computer Science
  • Biochemistry, Genetics and Molecular Biology

Their subfields of study highlight specialization areas such as:

  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Molecular Biology
  • Pulmonary and Respiratory Medicine
  • Computer Vision and Pattern Recognition

Key research topics include:

  • AI in cancer detection
  • Radiomics and Machine Learning in Medical Imaging
  • Digital Imaging for Blood Diseases
  • Cell Image Analysis Techniques
  • Cancer Genomics and Diagnostics
  • Cancer Immunotherapy and Biomarkers
  • Artificial Intelligence in Healthcare and Education

Frequently published in venues such as:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Modern Pathology
  • American Journal Of Pathology
  • Cell

Notable recent publications include:

  • "Glioma progression is shaped by genetic evolution and microenvironment interactions," 2022, Cell
  • "MONAI: An open-source framework for deep learning in healthcare," 2022, arXiv (Cornell University)
  • "An expanded universe of cancer targets," 2021, Cell
  • "Pitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancer," 2020, npj Breast Cancer
  • "Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group," 2020, npj Breast Cancer

Some of their frequent collaborators include:

  • Mohamed Amgad
  • Jeffrey A. Goldstein
  • Ramin Nateghi
  • David A. Gutman
  • David L. Jaye

Best Publications

  • Predicting cancer outcomes from histology and genomics using convolutional networks

    Pooya Mobadersany;Safoora Yousefi;Mohamed Amgad;David A. Gutman

  • Correction: Corrigendum: The OncoPPi network of cancer-focused protein–protein interactions to inform biological insights and therapeutic strategies

    Zenggang Li;Andrei A. Ivanov;Rina Su;Valentina Gonzalez-Pecchi

  • MR imaging predictors of molecular profile and survival: Multi-institutional study of the TCGA glioblastoma data set

    David A. Gutman;Lee A.D. Cooper;Scott N. Hwang;Chad A. Holder

  • Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization.

    Pegah Khosravi;Ehsan Kazemi;Qiansheng Zhan;Jonas E. Malmsten

  • T2-FLAIR Mismatch, an Imaging Biomarker for IDH and 1p/19q Status in Lower-grade Gliomas: A TCGA/TCIA Project.

    Sohil H. Patel;Laila M. Poisson;Daniel J. Brat;Yueren Zhou

  • Structured crowdsourcing enables convolutional segmentation of histology images.

    Mohamed Amgad;Habiba Elfandy;Hagar Hussein;Lamees A. Atteya

  • Predicting clinical outcomes from large scale cancer genomic profiles with deep survival models

    Safoora Yousefi;Fatemeh Amrollahi;Mohamed Amgad;Chengliang Dong

  • PanCancer insights from The Cancer Genome Atlas: the pathologist's perspective.

    Lee Alex Donald Cooper;Lee Alex Donald Cooper;Elizabeth G. Demicco;Joel H. Saltz;Reid T. Powell

  • The OncoPPi network of cancer-focused protein-protein interactions to inform biological insights and therapeutic strategies

    Zenggang Li;Andrei A. Ivanov;Rina Su;Rina Su;Rina Su;Valentina Gonzalez-Pecchi

  • Cancer Digital Slide Archive: an informatics resource to support integrated in silico analysis of TCGA pathology data

    David A. Gutman;Jake Cobb;Dhananjaya Somanna;Yuna Park

  • An expanded universe of cancer targets.

    William C. Hahn;Joel S. Bader;Theodore P. Braun;Andrea Califano

  • The Digital Slide Archive: A Software Platform for Management, Integration, and Analysis of Histology for Cancer Research.

    David A. Gutman;Mohammed Khalilia;Sanghoon Lee;Michael Nalisnik

  • The Proneural Molecular Signature Is Enriched in Oligodendrogliomas and Predicts Improved Survival among Diffuse Gliomas

    Lee Cooper;David Andrew Gutman;Qi Long;Brent Johnson

  • Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group

    Mohamed Amgad;Elisabeth Specht Stovgaard;Eva Balslev;Jeppe Thagaard

  • Image-guided genomics of phenotypically heterogeneous populations reveals vascular signalling during symbiotic collective cancer invasion.

    J. Konen;E. Summerbell;Bhakti Dwivedi;K. Galior

  • Machine-Based Morphologic Analysis of Glioblastoma Using Whole-Slide Pathology Images Uncovers Clinically Relevant Molecular Correlates

    Jun Kong;Lee A. D. Cooper;Fusheng Wang;Jingjing Gao

  • Whole-brain spectroscopic MRI biomarkers identify infiltrating margins in glioblastoma patients.

    James S. Cordova;Hui Kuo G. Shu;Zhongxing Liang;Saumya S. Gurbani

  • Integrated morphologic analysis for the identification and characterization of disease subtypes.

    Lee A D Cooper;Jun Kong;David Andrew Gutman;Fusheng Wang

  • Ergonomics of wearable computers

    Chris Baber;James Knight;D. Haniff;L. Cooper

  • Machine-based detection and classification for bone marrow aspirate differential counts: initial development focusing on nonneoplastic cells

    Ramraj Chandradevan;Ahmed A Aljudi;Bradley R Drumheller;Nilakshan Kunananthaseelan

  • Comparative Performance Analysis of Intel (R) Xeon Phi (TM), GPU, and CPU: A Case Study from Microscopy Image Analysis

    George Teodoro;Tahsin Kurc;Jun Kong;Lee Cooper

Frequent Co-Authors

Joel H. Saltz
Joel H. Saltz Stony Brook University
Tahsin Kurc
Tahsin Kurc Stony Brook University
Carlos S. Moreno
Carlos S. Moreno Emory University
Fusheng Wang
Fusheng Wang Stony Brook University
Haian Fu
Haian Fu Emory University
Roel G.W. Verhaak
Roel G.W. Verhaak The Jackson Laboratory
Chris Baber
Chris Baber University of Birmingham
Raul Rabadan
Raul Rabadan Columbia University
Andrew D. Cherniack
Andrew D. Cherniack Broad Institute
Sherene Loi
Sherene Loi Peter MacCallum Cancer Centre

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