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Showing 1–7 of 7 results

Advanced filters: Author: Niha Beig Clear advanced filters

Histopathology based AI model predicts anti-angiogenic therapy response in renal cancer clinical trial

Angioscore is a transcriptome based predicter of treatment response in clear cell renal cell carcinoma. Here, the authors use deep learning to infer the Angioscore from histopathology slides using clinical trial data.

Jay Jasti
Hua Zhong
Satwik Rajaram
ResearchOpen Access17 Mar 2025
Nature Communications

Volume: 16, P: 1-13
Radiomics and radiogenomics in gliomas: a contemporary update

Gagandeep Singh
Sunil Manjila
Vadim Spektor
ReviewsOpen Access06 May 2021
British Journal of Cancer

Volume: 125, P: 641-657
Radiogenomic analysis of hypoxia pathway is predictive of overall survival in Glioblastoma

Niha Beig
Jay Patel
Pallavi Tiwari
ResearchOpen Access08 Jan 2018
Scientific Reports

Volume: 8, P: 1-11
Author Correction: Quantitative vessel tortuosity: A potential CT imaging biomarker for distinguishing lung granulomas from adenocarcinomas

Mehdi Alilou
Mahdi Orooji
Anant Madabhushi
Amendments and CorrectionsOpen Access29 Oct 2019
Scientific Reports

Volume: 9, P: 1
Image analysis reveals molecularly distinct patterns of TILs in NSCLC associated with treatment outcome

Ruiwen Ding
Prateek Prasanna
Anant Madabhushi
ResearchOpen Access03 Jun 2022
npj Precision Oncology

Volume: 6, P: 1-15
Mass Effect Deformation Heterogeneity (MEDH) on Gadolinium-contrast T1-weighted MRI is associated with decreased survival in patients with right cerebral hemisphere Glioblastoma: A feasibility study

Prateek Prasanna
Jhimli Mitra
Pallavi Tiwari
ResearchOpen Access04 Feb 2019
Scientific Reports

Volume: 9, P: 1-13
Quantitative vessel tortuosity: A potential CT imaging biomarker for distinguishing lung granulomas from adenocarcinomas

Mehdi Alilou
Mahdi Orooji
Anant Madabhushi
ResearchOpen Access16 Oct 2018
Scientific Reports

Volume: 8, P: 1-16