PUBLICATIONS

Predicting Prostate Cancer Grade Reclassification on Active Surveillance Using a Deep Learning-Based Grading Algorithm
2024, Healthcare Diagnostics
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Published In:JNCI: Journal of the National Cancer Institute, 2024, djae139
Colaboration:In collaboration with Johns Hopkins University School of Medicine, University of California, and University of Washington
Authors:Chien-Kuang C Ding, Zhuo Tony Su, Erik Erak, Lia DePaula Oliveira, Daniela C Salles, Yuezhou Jing, Pranab Samanta, Saikiran Bonthu, Uttara Joshi, Chaith Kondragunta, Nitin Singhal, Angelo M De Marzo, Bruce J Trock, Christian P Pavlovich, Claire M de la Calle, Tamara L Lotan
Comparison of Pathologist and Artificial Intelligence–based Grading for Prediction of Metastatic Outcomes After Radical Prostatectomy
2024, Healthcare Diagnostics
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Colaboration:In collaboration with Johns Hopkins University School of Medicine
Authors:Lia D. Oliveira, Jiayun Lu, Eric Erak, Adrianna A. Mendes, Oluwademilade Dairo, Onur Ertunc, Ibrahim Kulac, Javier A. Baena-Del Valle, Tracy Jones, Jessica L. Hicks, Stephanie Glavaris, Gunes Guner, Igor D. Vidal, Bruce J. Trock, Uttara Joshi, Chaith Kondragunta, Saikiran Bonthu, Corinne Joshu, Nitin Singhal, Angelo M. De Marzo, Tamara L. Lotan
Evaluation of Artificial Intelligence-Based Gleason Grading Algorithms “in the Wild”
2024, Healthcare Diagnostics
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Published In:Modern Pathology, Vol 37 (11) 100563
Colaboration:In collaboration with Radboud University Medical Center
Authors:Khrystyna Faryna, Leslie Tessier, Juan Retamero, Saikiran Bonthu, Pranab Samanta, Nitin Singhal, Solene-Florence Kammerer-Jacquet, Camelia Radulescu, Vittorio Agosti, Alexandre Collin, Xavier Farre, Jacqueline Fontugne, Rainer Grobholz, Agnes Marije Hoogland, Katia Ramos Moreira Leite, Murat Oktay, Antonio Polonia, Paromita Roy, Paulo Guilherme Salles, Theodurus H. van der Kwast, Jolique van Ipenburg, Jeroen var der Laak, Geert Litjens
Inter-Rater and Intra-Rater Agreement in Scoring Severity of Rodent Cardiomyopathy and Relation to Artificial Intelligence–Based Scoring
2024, Preclinical Research
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Published In:Toxicologic Pathology, 2024; Vol. 0(0)
Colaboration:In collaboration with Experimental Pathology Laboratories Inc
Authors:Thomas Steinbach, Debra Tokarz, Caroll Co, Shawn Harris, Sandra McBride, Keith Shockley, Avinash Lokhade, Gargi Srivastava, Rajesh Ugalmugle, Arshad Kazi, Emily Singletary, Mark Cesta, Heath Thomas, Vivian Chen, Kristen Hobbie, and Torrie Crabbs,
Deep Learning-Based Spermatogenic Staging in Tissue Sections of Cynomolgus Macaque Testes
2024, Preclinical Research
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Published In:Toxicologic Pathology, 2024; Vol. 52(1) 4-12
Colaboration:In collaboration with LabCorp Early Development Services GmbH
Authors:Lars Mecklenburg, C. Marc Luetjens, Annette Romeike, Rohit Garg, Pranab Samanta, Amogh Mohanty, Tijo Thomas, and Gerhard Weinbauer
Predicting Prostate Cancer Molecular Subtype with Deep Learning on Histopathologic Images
2023, Healthcare Diagnostics
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Published In:Modern Pathology, 2023, Vol. 36(10) 100247
Colaboration:In collaboration with Johns Hopkins University School of Medicine, Suleyman Demirel University, Koç University School of Medicine, Fundacion Santa Fe de Bogota University Hospital, and University of Alabama School of Medicine
Authors:Eric Erak, Lia DePaula Oliveira, Adrianna A. Mendes, Oluwademilade Dairo, Onur Ertunc, Ibrahim Kulac, Javier A. Baena-Del Valle, Tracy Jones, Jessica L. Hicks, Stephanie Glavaris, Gunes Guner, Igor Damasceno Vidal, Mark Markowski, Claire de la Calle, Bruce J. Trock, Avaneesh Meena, Uttara Joshi, Chaith Kondragunta, Saikiran Bonthu, Nitin Singhal, Angelo M. De Marzo, Tamara L. Lotan,
A Deep Learning System for Prostate Cancer Diagnosis and Grading in Whole Slide Images of Core Needle Biopsies
2022, Healthcare Diagnostics
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Published In:Sci Rep 12, 3383 (2022)
Colaboration:In collaboration with Muljibhai Patel Urological Hospital, Nadiad, India; Grant Medical Foundation, Ruby Hall Clinic, Pune, India; and Department of Lab Medicine, Manipal Hospital Jaipur, India
Authors:Nitin Singhal, Shailesh Soni, Saikiran Bonthu, Nilanjan Chattopadhyay, Pranab Samanta, Uttara Joshi, Amit Jojera, Taher Chharchhodawala, Ankur Agarwal, Mahesh Desai, and Arvind Ganpule
Deep Learning-Based Image-Analysis Algorithm for Classification and Quantification of Multiple Histopathological Lesions in Rat Liver
2021, Preclinical Research
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Published In:Journal of Toxicologic Pathology, 2022; 35: 135-147
Colaboration:In collaboration with Japan Tobacco Inc.
Authors:Taishi Shimazaki, Ameya Deshpande, Anindya Hajra, Tijo Thomas, Kyotaka Muta, Naohito Yamada, Yuzo Yasui, and Toshiyuki Shoda
Microscope-Based Automated Quantification of Liver Fibrosis in Mice Using a Deep Learning Algorithm
2021, Preclinical Research
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Published In:Toxicologic Pathology, 2021, Vol. 49(5) 1126-1133
Colaboration:In collaboration with the Hebrew University of Jerusalem, Hadassah Medical Center, AgomAb Therapeutics NV, Molecular Biotechnology Center, Tel Aviv University
Authors:Yuval Ramot, Ameya Deshpande, Virginia Morello, Paolo Michieli, Tehila Shlomov, and Abraham Nyska
Using Artificial Intelligence to Detect, Classify, and Objectively Score Severity of Rodent Cardiomyopathy
2020, Preclinical Research
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Published In:Toxicologic Pathology, 2021, Vol. 49(4) 888-896
Colaboration:In collaboration with Experimental Pathology Laboratories Inc., Social and Scientific Systems, National Institute of Environmental Sciences, Aclairo Pharmaceuticals Development Group, Charles River Laboratories Inc., and Integrated Laboratory Systems, LLC
Authors:Debra A. Tokarz, Thomas J. Steinbach, Avinash Lokhande, Gargi Srivastava, Rajesh Ugalmugle, Caroll A. Co, Keith R. Shockley, Emily Singletary, Mark F. Cesta, Heath C. Thomas, Vivian S. Chen, Kristen Hobbie, and Torrie A. Crabbs
Deep Learning-Based Spermatogenic Staging Assessment for Hematoxylin and Eosin-Stained Sections of Rat Testes
2020, Preclinical Research
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Published In:Toxicologic Pathology, 2021, Vol. 49(4) 872-887
Colaboration:In collaboration with Dianne Creasy Consulting and Sun Pharma Advanced Research Co. Ltd.
Authors:Dianne M. Creasy, Satish T. Panchal, Rohit Garg, and Pranab Samanta
Utilization of a Deep Learning Algorithm for Microscope-Based Fatty Vacuole Quantification in a Fatty Liver Model in Mice
2020, Preclinical Research
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Published In:Toxicologic Pathology, 2020, Vol. 48(5) 702-707
Colaboration:In collaboration with Hebrew University of Jerusalem and Tel Aviv University
Authors:Yuval Ramot, Gil Zandani, Zecharia Madar, Sanket Deshmukh, and Abraham Nyska
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