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Shubham Innani

Showing results (1-10 of 7) with videos related to

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Frontiers in Neuroscience|June 4, 2024
Prognostic stratification of glioblastoma patients by unsupervised clustering of morphology patterns on whole slide images furthering our disease understandingBhakti Baheti, Shubham Innani, MacLean Nasrallah, et al.
Neuro-Oncology|September 1, 2025
AI-driven WHO 2021 classification of gliomas based only on H&E-stained slidesShubham Innani, W Robert Bell, MacLean P Nasrallah, et al.
Neuro-Oncology Advances|July 28, 2025
Interpretable artificial intelligence based determination of glioma IDH mutation status directly from histology slidesShubham Innani, W Robert Bell, Hannah Harmsen, et al.
Scientific Reports|August 18, 2023
Generative adversarial networks based skin lesion segmentationShubham Innani, Prasad Dutande, Ujjwal Baid, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|May 26, 2025
Multimodal Explainable Artificial Intelligence for Prognostic Stratification of Patients With GlioblastomaBhakti Baheti, Sunny Rai, Shubham Innani, et al.
Archives of Pathology & Laboratory Medicine|February 17, 2025
Artificial Intelligence-Based Classification of Renal Oncocytic Neoplasms: Advancing From a 2-Class Model of Renal Oncocytoma and Low-Grade Oncocytic Tumor to a 3-Class Model Including Chromophobe Renal Cell CarcinomaKatrina Collins, Shubham Innani, Kingsley Ebare, et al.
IEEE Transactions on Medical Imaging|May 4, 2022
ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus ImagesHuihui Fang, Fei Li, Huazhu Fu, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

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Pageof 1
Frontiers in Neuroscience|June 4, 2024
Prognostic stratification of glioblastoma patients by unsupervised clustering of morphology patterns on whole slide images furthering our disease understandingBhakti Baheti, Shubham Innani, MacLean Nasrallah, et al.
Neuro-Oncology|September 1, 2025
AI-driven WHO 2021 classification of gliomas based only on H&E-stained slidesShubham Innani, W Robert Bell, MacLean P Nasrallah, et al.
Neuro-Oncology Advances|July 28, 2025
Interpretable artificial intelligence based determination of glioma IDH mutation status directly from histology slidesShubham Innani, W Robert Bell, Hannah Harmsen, et al.
Scientific Reports|August 18, 2023
Generative adversarial networks based skin lesion segmentationShubham Innani, Prasad Dutande, Ujjwal Baid, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|May 26, 2025
Multimodal Explainable Artificial Intelligence for Prognostic Stratification of Patients With GlioblastomaBhakti Baheti, Sunny Rai, Shubham Innani, et al.
Archives of Pathology & Laboratory Medicine|February 17, 2025
Artificial Intelligence-Based Classification of Renal Oncocytic Neoplasms: Advancing From a 2-Class Model of Renal Oncocytoma and Low-Grade Oncocytic Tumor to a 3-Class Model Including Chromophobe Renal Cell CarcinomaKatrina Collins, Shubham Innani, Kingsley Ebare, et al.
IEEE Transactions on Medical Imaging|May 4, 2022
ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus ImagesHuihui Fang, Fei Li, Huazhu Fu, et al.
Pageof 1