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Satwik Rajaram

Showing results (11-20 of 31) with videos related to

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Biorxiv : the Preprint Server for Biology|April 1, 2025
Autonomous learning of pathologists' cancer grading rulesThuong Nguyen, Vandana Panwar, Vipul Jamale, et al.
Acta Neuropathologica Communications|October 22, 2021
Deep learning reveals disease-specific signatures of white matter pathology in tauopathiesAnthony R Vega, Rati Chkheidze, Vipul Jarmale, et al.
Scientific Data|November 2, 2019
A multi-modal data resource for investigating topographic heterogeneity in patient-derived xenograft tumorsSatwik Rajaram, Maike A Roth, Julia Malato, et al.
JCI Insight|May 22, 2024
Molecular underpinnings of dedifferentiation and aggressiveness in chromophobe renal cell carcinomaPayal Kapur, Hua Zhong, Daniel Le, et al.
Genome Medicine|September 19, 2025
MorphoITH: a framework for deconvolving intra-tumor heterogeneity using tissue morphologyAleksandra Weronika Nielsen, Hafez Eslami Manoochehri, Hua Zhong, et al.
Physics in Medicine and Biology|October 9, 2025
Exploring radiomic and topological features to evaluate treatment response in rectal cancerHaozhao Zhang, Jiaqi Liu, Naveen Rajamohan, et al.
World Journal of Urology|September 26, 2024
Clinical application of radiomics for the prediction of treatment outcome and survival in patients with renal cell carcinoma: a systematic reviewZine-Eddine Khene, Isamu Tachibana, Theophile Bertail, et al.
Ebiomedicine|December 21, 2019
Ontological analyses reveal clinically-significant clear cell renal cell carcinoma subtypes with convergent evolutionary trajectories into an aggressive typeQi Cai, Alana Christie, Satwik Rajaram, et al.
Cancer Research|June 2, 2022
Intratumoral Resolution of Driver Gene Mutation Heterogeneity in Renal Cancer Using Deep LearningPaul H Acosta, Vandana Panwar, Vipul Jarmale, et al.
Ebiomedicine|April 28, 2020
Corrigendum to ''Ontological analyses reveal clinically-significant clear cell renal cell carcinoma subtypes with convergent evolutionary trajectories into an aggressive type'' [EBioMedicine 51 (2020) 102526]Qi Cai, Alana Christie, Satwik Rajaram, et al.
Pageof 4

Showing results (11-20 of 31) with videos related to

Sort By:
Pageof 4
Biorxiv : the Preprint Server for Biology|April 1, 2025
Autonomous learning of pathologists' cancer grading rulesThuong Nguyen, Vandana Panwar, Vipul Jamale, et al.
Acta Neuropathologica Communications|October 22, 2021
Deep learning reveals disease-specific signatures of white matter pathology in tauopathiesAnthony R Vega, Rati Chkheidze, Vipul Jarmale, et al.
Scientific Data|November 2, 2019
A multi-modal data resource for investigating topographic heterogeneity in patient-derived xenograft tumorsSatwik Rajaram, Maike A Roth, Julia Malato, et al.
JCI Insight|May 22, 2024
Molecular underpinnings of dedifferentiation and aggressiveness in chromophobe renal cell carcinomaPayal Kapur, Hua Zhong, Daniel Le, et al.
Genome Medicine|September 19, 2025
MorphoITH: a framework for deconvolving intra-tumor heterogeneity using tissue morphologyAleksandra Weronika Nielsen, Hafez Eslami Manoochehri, Hua Zhong, et al.
Physics in Medicine and Biology|October 9, 2025
Exploring radiomic and topological features to evaluate treatment response in rectal cancerHaozhao Zhang, Jiaqi Liu, Naveen Rajamohan, et al.
World Journal of Urology|September 26, 2024
Clinical application of radiomics for the prediction of treatment outcome and survival in patients with renal cell carcinoma: a systematic reviewZine-Eddine Khene, Isamu Tachibana, Theophile Bertail, et al.
Ebiomedicine|December 21, 2019
Ontological analyses reveal clinically-significant clear cell renal cell carcinoma subtypes with convergent evolutionary trajectories into an aggressive typeQi Cai, Alana Christie, Satwik Rajaram, et al.
Cancer Research|June 2, 2022
Intratumoral Resolution of Driver Gene Mutation Heterogeneity in Renal Cancer Using Deep LearningPaul H Acosta, Vandana Panwar, Vipul Jarmale, et al.
Ebiomedicine|April 28, 2020
Corrigendum to ''Ontological analyses reveal clinically-significant clear cell renal cell carcinoma subtypes with convergent evolutionary trajectories into an aggressive type'' [EBioMedicine 51 (2020) 102526]Qi Cai, Alana Christie, Satwik Rajaram, et al.
Pageof 4