‪Rakesh Choudhary‬ - ‪Google Scholar‬

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Co-authors

Scott DoyleThe University at BuffaloVerified email at buffalo.edu
M Brandwein-GenslerProfessor Pathology and Anatomic Science, Vice Chair, SUNY at BuffaloVerified email at Buffalo.edu
Jim EylesVerified email at pfizer.com
Scott HammondMedImmune / AstraZenecaVerified email at astrazeneca.com
Scott HoffmannAssociate Director, AstraZenecaVerified email at astrazeneca.com

Rakesh Choudhary

Rakesh Choudhary

Senior Scientist Imaging AI and Data Analytics, AstraZeneca

Verified email at astrazeneca.com

Computer Vision and Image Processing Machine Learning and AI Digital Pathology


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
The SARS-CoV-2 monoclonal antibody AZD3152 potently neutralises historical and currently circulating variants J Francica, Y Cai, Diallo Poster presented at: 33rd European Congress of Clinical Microbiology …, 2023	11	2023
785 mAZD0171 mediated LIF blockade in combination with chemotherapy and PD-L1 inhibition repolarizes macrophages and increases T cell infiltration via CX3CR1-CX3CL1 axis J Candido, G Kar, G Opoku-Ansah, S Hoffmann, F Garcon, C Gerada, ... Journal for ImmunoTherapy of Cancer 11 (Suppl 1), 2023		2023
Cloud-based platform for human-in-the-loop re-annotation of whole slide imaging: large scale semantic pathology segmentation J Folmsbee, S Doyle, R Choudhary, M Brandwein-Weber, J Rahman Medical Imaging 2022: Digital and Computational Pathology 12039, 1203912, 2022		2022
Automatic flagging of AI segmentation errors in computational pathology R Choudhary, D Balachandran, J Folmsbee, J Rahman, M Brandwein, ... Medical Imaging 2022: Digital and Computational Pathology 12039, 25-32, 2022		2022

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