Vamsidhar Velcheti

发表

Feature Driven Local Cell Graph (FeDeG): Predicting Overall Survival in Early Stage Lung Cancer

Prateek Prasanna, Cheng Lu, Anant Madabhushi, 2018, MICCAI.

A watershed and feature-based approach for automated detection of lymphocytes on lung cancer images

Cheng Lu, Anant Madabhushi, Eduardo Romero, 2018, Medical Imaging.

Phenotyping tumor infiltrating lymphocytes (PhenoTIL) on H&E tissue images: predicting recurrence in lung cancer

Anant Madabhushi, Germán Corredor, Vamsidhar Velcheti, 2019, Medical Imaging.

Compactness measures of tumor infiltrating lymphocytes in lung adenocarcinoma are associated with overall patient survival and immune scores

Prateek Prasanna, Anant Madabhushi, Germán Corredor, 2020, Medical Imaging: Digital Pathology.

Combination of computer extracted shape and texture features enables discrimination of granulomas from adenocarcinoma on chest computed tomography

Mahdi Orooji, Anant Madabhushi, Vamsidhar Velcheti, 2018, Journal of medical imaging.

A combination of intra- and peritumoral features on baseline CT scans is associated with overall survival in non-small cell lung cancer patients treated with immune checkpoint inhibitors: a multi-agent multi-site study

Prateek Prasanna, Anant Madabhushi, Kaustav Bera, 2019, Medical Imaging.

RaPtomics: integrating radiomic and pathomic features for predicting recurrence in early stage lung cancer

Anant Madabhushi, Xiangxue Wang, Kaustav Bera, 2018, Medical Imaging.

A lymphocyte spatial distribution graph-based method for automated classification of recurrence risk on lung cancer images

Anant Madabhushi, Eduardo Romero, Xiangxue Wang, 2017, Symposium on Medical Information Processing and Analysis.

Quantitative vessel tortuosity radiomics on baseline non-contrast lung CT predict response to immunotherapy and are prognostic of overall survival

Anant Madabhushi, Kaustav Bera, Vamsidhar Velcheti, 2019, Medical Imaging.

Quantifying expert diagnosis variability when grading tumor-infiltrating lymphocytes

Anant Madabhushi, Eduardo Romero, Xiangxue Wang, 2017, Symposium on Medical Information Processing and Analysis.

Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers

Can Fahrettin Koyuncu, Andrew Janowczyk, Prateek Prasanna, 2020, Medical Image Anal..

High SOX2 Levels Predict Better Outcome in Non-Small Cell Lung Carcinomas

Vamsidhar Velcheti, David L. Rimm, Kurt Schalper, 2013, PloS one.

HER2 Transmembrane Domain (TMD) Mutations (V659/G660) That Stabilize Homo‐ and Heterodimerization Are Rare Oncogenic Drivers in Lung Adenocarcinoma That Respond to Afatinib

Vamsidhar Velcheti, Philip J. Stephens, Vincent A. Miller, 2017, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.

Prediction of recurrence in early stage non-small cell lung cancer using computer extracted nuclear features from digital H&E images

Andrew Janowczyk, Anant Madabhushi, Xiangxue Wang, 2017, Scientific Reports.

In Situ Tumor PD-L1 mRNA Expression Is Associated with Increased TILs and Better Outcome in Breast Carcinomas

Vamsidhar Velcheti, David L Rimm, Lajos Pusztai, 2014, Clinical Cancer Research.

Radiomics and radiogenomics in lung cancer: A review for the clinician.

Prateek Prasanna, Anant Madabhushi, Soumya Ghose, 2018, Lung cancer.

Targeting RET in Patients With RET-Rearranged Lung Cancers: Results From the Global, Multicenter RET Registry.

Ross Camidge, Vamsidhar Velcheti, Thomas Filleron, 2017, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in Stage I, II resectable Non-Small Cell Lung Cancer: a retrospective multi-cohort study for outcome prediction.

Prateek Prasanna, Anant Madabhushi, Xiangxue Wang, 2020, The Lancet. Digital health.

Perinodular and Intranodular Radiomic Features on Lung CT Images Distinguish Adenocarcinomas from Granulomas.

Prateek Prasanna, Anant Madabhushi, Pallavi Tiwari, 2019, Radiology.