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Patrick Leo

Showing results (1-10 of 33) with videos related to

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The Lancet. Digital Health|December 17, 2020
Clinical deployment of AI for prostate cancer diagnosisAndrew Janowczyk, Patrick Leo, Mark A Rubin
The Lancet. Oncology|January 14, 2020
Deep-learning approaches for Gleason grading of prostate biopsiesAnant Madabhushi, Michael D Feldman, Patrick Leo
Extremophiles : Life Under Extreme Conditions|September 29, 2021
Antarctica as a reservoir of planetary analogue environmentsAlessia Cassaro, Claudia Pacelli, Lorenzo Aureli, et al.
Scientific Reports|October 10, 2018
Stable and discriminating features are predictive of cancer presence and Gleason grade in radical prostatectomy specimens: a multi-site studyPatrick Leo, Robin Elliott, Natalie N C Shih, et al.
Computer Methods and Programs in Biomedicine|May 6, 2024
Automatic Myeloblast Segmentation in Acute Myeloid Leukemia Images based on Adversarial Feature LearningZelin Zhang, Sara Arabyarmohammadi, Patrick Leo, et al.
Interventional Neuroradiology : Journal of Peritherapeutic Neuroradiology, Surgical Procedures and Related Neurosciences|July 1, 2014
Outcome prediction in acute stroke patients considered for endovascular treatment: a novel toolReuben Grech, Patrick Leo Galvin, Sarah Power, et al.
Journal of Medical Imaging (Bellingham, Wash.)|November 3, 2016
Evaluating stability of histomorphometric features across scanner and staining variations: prostate cancer diagnosis from whole slide imagesPatrick Leo, George Lee, Natalie N C Shih, et al.
Cancer Medicine|October 25, 2022
Automated analysis of computerized morphological features of cell clusters associated with malignancy on bile duct brushing whole slide imagesShayan Monabbati, Patrick Leo, Kaustav Bera, et al.
Heliyon|April 26, 2024
An integrated radiology-pathology machine learning classifier for outcome prediction following radical prostatectomy: Preliminary findingsAmogh Hiremath, Germán Corredor, Lin Li, et al.
JCO Clinical Cancer Informatics|May 6, 2022
Machine Learning to Predict Risk of Relapse Using Cytologic Image Markers in Patients With Acute Myeloid Leukemia Posthematopoietic Cell TransplantationSara Arabyarmohammadi, Patrick Leo, Vidya Sankar Viswanathan, et al.
Pageof 4

Showing results (1-10 of 33) with videos related to

Sort By:
Pageof 4
The Lancet. Digital Health|December 17, 2020
Clinical deployment of AI for prostate cancer diagnosisAndrew Janowczyk, Patrick Leo, Mark A Rubin
The Lancet. Oncology|January 14, 2020
Deep-learning approaches for Gleason grading of prostate biopsiesAnant Madabhushi, Michael D Feldman, Patrick Leo
Extremophiles : Life Under Extreme Conditions|September 29, 2021
Antarctica as a reservoir of planetary analogue environmentsAlessia Cassaro, Claudia Pacelli, Lorenzo Aureli, et al.
Scientific Reports|October 10, 2018
Stable and discriminating features are predictive of cancer presence and Gleason grade in radical prostatectomy specimens: a multi-site studyPatrick Leo, Robin Elliott, Natalie N C Shih, et al.
Computer Methods and Programs in Biomedicine|May 6, 2024
Automatic Myeloblast Segmentation in Acute Myeloid Leukemia Images based on Adversarial Feature LearningZelin Zhang, Sara Arabyarmohammadi, Patrick Leo, et al.
Interventional Neuroradiology : Journal of Peritherapeutic Neuroradiology, Surgical Procedures and Related Neurosciences|July 1, 2014
Outcome prediction in acute stroke patients considered for endovascular treatment: a novel toolReuben Grech, Patrick Leo Galvin, Sarah Power, et al.
Journal of Medical Imaging (Bellingham, Wash.)|November 3, 2016
Evaluating stability of histomorphometric features across scanner and staining variations: prostate cancer diagnosis from whole slide imagesPatrick Leo, George Lee, Natalie N C Shih, et al.
Cancer Medicine|October 25, 2022
Automated analysis of computerized morphological features of cell clusters associated with malignancy on bile duct brushing whole slide imagesShayan Monabbati, Patrick Leo, Kaustav Bera, et al.
Heliyon|April 26, 2024
An integrated radiology-pathology machine learning classifier for outcome prediction following radical prostatectomy: Preliminary findingsAmogh Hiremath, Germán Corredor, Lin Li, et al.
JCO Clinical Cancer Informatics|May 6, 2022
Machine Learning to Predict Risk of Relapse Using Cytologic Image Markers in Patients With Acute Myeloid Leukemia Posthematopoietic Cell TransplantationSara Arabyarmohammadi, Patrick Leo, Vidya Sankar Viswanathan, et al.
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