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Leo Grady

Leo Grady

D-Index & Metrics

Computer Science

D-Index
40
Citations
11095
World Ranking
9081
National Ranking
3860

Research.com Recognitions

  • 2014 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Leo Grady is affiliated with Paige in the United States and has a research focus primarily intersecting medicine and computer science. Their scholarly output includes work on artificial intelligence applications in cancer detection, with significant investigations into prostate cancer diagnosis and treatment.

Their recent publications include the following:

  • Novel artificial intelligence system increases the detection of prostate cancer in whole slide images of core needle biopsies (2020, Modern Pathology)
  • Independent real-world application of a clinical-grade automated prostate cancer detection system (2021, The Journal of Pathology)
  • Independent validation of paige prostate: Assessing clinical benefit of an artificial intelligence tool within a digital diagnostic pathology laboratory workflow (2020, Journal of Clinical Oncology)
  • Computational pathological identification of prostate cancer following neoadjuvant treatment (2020, Journal of Clinical Oncology)
  • Abstract PD11-01: An artificial intelligence-based predictor of CDH1 biallelic mutations and invasive lobular carcinoma (2022, Cancer Research)

Frequent co-authors collaborating with Leo Grady include:

  • Ran Godrich
  • Christopher Kanan
  • Jorge S. Reis-Filho
  • Patricia Raciti
  • Jillian Sue

The main publication venues where Grady's work appears are:

  • Cancer Research
  • Journal of Clinical Oncology
  • Modern Pathology
  • The Journal of Pathology

Leo Grady's research spans several fields of study:

  • Medicine
  • Computer Science

Within these fields, their subfields of study include:

  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Pulmonary and Respiratory Medicine
  • Epidemiology
  • Cancer Research

The major research topics covered by their work are:

  • AI in cancer detection
  • Radiomics and Machine Learning in Medical Imaging
  • Prostate Cancer Diagnosis and Treatment
  • Cervical Cancer and HPV Research
  • Cancer Genomics and Diagnostics
  • Breast Lesions and Carcinomas

Among recognized awards, Leo Grady was named a Fellow of the Indian National Academy of Engineering (INAE) in 2014.

Best Publications

  • Random Walks for Image Segmentation

    L. Grady

  • Isoperimetric graph partitioning for image segmentation

    L. Grady;E.L. Schwartz

  • Power Watershed: A Unifying Graph-Based Optimization Framework

    C Couprie;L Grady;L Najman;H Talbot

  • A Seeded Image Segmentation Framework Unifying Graph Cuts And Random Walker Which Yields A New Algorithm

    A.K. Sinop;L. Grady

  • Discrete Calculus: Applied Analysis on Graphs for Computational Science

    Leo J. Grady;Jonathan R. Polimeni

  • A multilevel banded graph cuts method for fast image segmentation

    H. Lombaert;Yiyong Sun;L. Grady;Chenyang Xu

  • Identification of High-Risk Plaques Destined to Cause Acute Coronary Syndrome Using Coronary Computed Tomographic Angiography and Computational Fluid Dynamics.

    Joo Myung Lee;Gilwoo Choi;Bon Kwon Koo;Doyeon Hwang

  • Multilabel random walker image segmentation using prior models

    L. Grady

  • Multi-label Image Segmentation for Medical Applications Based on Graph-Theoretic Electrical Potentials

    Leo J. Grady;Gareth Funka-Lea

  • RANDOM WALKS FOR INTERACTIVE ALPHA-MATTING

    Leo Grady;Rüdiger Westermann

  • Power watersheds: A new image segmentation framework extending graph cuts, random walker and optimal spanning forest

    Camille Couprie;Leo Grady;Laurent Najman;Hugues Talbot

  • Novel artificial intelligence system increases the detection of prostate cancer in whole slide images of core needle biopsies.

    Patricia Raciti;Jillian Sue;Rodrigo Ceballos;Ran Godrich

  • Image Processing and Analysis With Graphs: theory and Practice

    Olivier Lezoray;Leo Grady

  • Independent real-world application of a clinical-grade automated prostate cancer detection system.

    Leonard M da Silva;Emilio M Pereira;Paulo Go Salles;Ran Godrich

  • Random walks for interactive organ segmentation in two and three dimensions: implementation and validation

    Leo Grady;Thomas Schiwietz;Shmuel Aharon;Rüdiger Westermann

  • Spectral Log-Demons: Diffeomorphic Image Registration with Very Large Deformations

    Herve Lombaert;Leo Grady;Xavier Pennec;Nicholas Ayache

  • Random walks based multi-image segmentation: Quasiconvexity results and GPU-based solutions

    Maxwell D. Collins;Jia Xu;Leo Grady;Vikas Singh

  • Evaluating segmentation error without ground truth

    Timo Kohlberger;Vivek Singh;Chris Alvino;Claus Bahlmann

  • The Piecewise Smooth Mumford–Shah Functional on an Arbitrary Graph

    L. Grady;C.V. Alvino

  • Fast global optimization of curvature

    Noha Youssry El-Zehiry;Leo Grady

Frequent Co-Authors

Vivek K. Goyal
Vivek K. Goyal Boston University
Laurent Najman
Laurent Najman École Supérieure d'Ingénieurs en Électrotechnique et Électronique
Lawrence L. Wald
Lawrence L. Wald Harvard University
Hugues Talbot
Hugues Talbot University of Paris-Saclay
Eric L. Schwartz
Eric L. Schwartz Boston University
René Vidal
René Vidal University of Pennsylvania
Daniel Cremers
Daniel Cremers Technical University of Munich
Chenyang Xu
Chenyang Xu Princeton University
Xavier Pennec
Xavier Pennec French Institute for Research in Computer Science and Automation - INRIA
Nicholas Ayache
Nicholas Ayache French Institute for Research in Computer Science and Automation - INRIA

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