Leo Grady

Computer Science · Physical Sciences

35h-index7.7kcitations121works0.02yr avg
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Research Topics

Medical Image Segmentation Techniques(49), Advanced Neural Network Applications(18), Advanced Image and Video Retrieval Techniques(15), Digital Image Processing Techniques(15), Medical Imaging Techniques and Applications(14)

Publications121 total

Explaning with trees: interpreting CNNs using hierarchies
SPIRE - Sciences Po Institutional REpository·2026Open Access
Abstract PD11-02: Subtyping invasive carcinomas and high-risk lesions for machine learning based breast pathology
Cancer Research·2022· 1 cited
Abstract PD11-01: An artificial intelligence-based predictor of CDH1 biallelic mutations and invasive lobular carcinoma
Cancer Research·2022· 3 cited
Independent real‐world application of a clinical‐grade automated prostate cancer detection system
The Journal of Pathology·2021· 160 citedOpen Access
Abstract PD6-02: Digital MammaPrint and BluePrint using machine learning and whole slide imaging
Cancer Research·2021
Independent validation of paige prostate: Assessing clinical benefit of an artificial intelligence tool within a digital diagnostic pathology laboratory workflow.
Journal of Clinical Oncology·2020· 12 cited
Computational pathological identification of prostate cancer following neoadjuvant treatment.
Journal of Clinical Oncology·2020· 7 cited
Novel artificial intelligence system increases the detection of prostate cancer in whole slide images of core needle biopsies
Modern Pathology·2020· 172 citedOpen Access
Precise measurement of coronary stenosis diameter with CCTA using CT number calibration
Medical Physics·2019· 17 citedOpen Access
Lumen boundaries extracted from coronary computed tomography angiography on computed fractional flow reserve (FFRCT): validation with optical coherence tomography
EuroIntervention·2019· 19 cited
Generation of Patient-Specific Cardiac Vascular Networks: A Hybrid Image-Based and Synthetic Geometric Model
IEEE Transactions on Biomedical Engineering·2018· 39 citedOpen Access
Automated estimation of image quality for coronary computed tomographic angiography using machine learning
European Radiology·2018· 25 cited
Identification of High-Risk Plaques Destined to Cause Acute Coronary Syndrome Using Coronary Computed Tomographic Angiography and Computational Fluid Dynamics
JACC. Cardiovascular imaging·2018· 306 citedOpen Access
Targeted Image Segmentation Using Graph Methods
2017· 11 cited
Graph theory concepts and definitions used in image processing and analysis
2017· 9 cited
图像处理和分析的图模型：理论与应用 (Image Processing and Analysis with Graphs: Theory and Practice)
HAL (Le Centre pour la Communication Scientifique Directe)·2017
IMPACT OF PRECISION OF LUMEN BOUNDARY EXTRACTED FROM CORONARY CT ON FFRCT: VALIDATION WITH OCT
Journal of the American College of Cardiology·2016
EVALUATION OF LOCAL HEMODYNAMIC FORCES ACTING ON PLAQUE MAY HELP PREDICT PLAQUE VULNERABILITY: LESSONS FROM COMBINED ANALYSIS OF OPTICAL COHERENCE TOMOGRAPHY AND COMPUTATIONAL FLUID DYNAMICS SIMULATION
Journal of the American College of Cardiology·2016
CORRELATION OF WALL SHEAR STRESS AND AXIAL PLAQUE STRESS BETWEEN MODELS DERIVED FROM CT AND OCT DATA
Journal of the American College of Cardiology·2016
IMPACT OF WALL SHEAR STRESS AND AXIAL PLAQUE STRESS ON CORONARY PLAQUE INITIATION AND PROGRESSION
Journal of the American College of Cardiology·2016· 1 cited
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Frequent Co-authors

Charles A. Taylor(5), Laurent Najman(5), Hugues Talbot(5), Jon̈athan R. Polimeni(5), Camille Couprie(4), Hervé Lombaert(4), Marie‐Pierre Jolly(4), Farida Chériet(3), Claus Bahlmann(3), Sethuraman Sankaran(3), Parmeshwar Khurd(3), Ali Kamen(3), Eric L. Schwartz(3), Bon‐Kwon Koo(2), Hyun Jin Kim(2), Ali Kemal Sinop(2), Gareth Funka-Lea(2), Patricia Raciti(2), Jillian Sue(2), Rodrigo Ceballos(2)