Vamsidhar Velcheti

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 11

Top Topics

Automated Detection

Prognostic Factors

Top Venues

Medical Imaging: Digital Pathology

Medical Imaging: Computer-Aided Diagnosis

Publications

Nathaniel Braman, Prateek Prasanna, Kaustav Bera, Mehdi Alilou, Mohammadhadi Khorrami, Patrick Leo, Maryam Etesami, Manasa Vulchi, Paulette Turk, Amit Gupta, Prantesh Jain, Pingfu Fu, Nathan Pennell, Vamsidhar Velcheti, Jame Abraham, Donna Plecha, Anant Madabhushi
Novel Radiomic Measurements of Tumor- Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers. CoRR (2022)
Cheng Lu, Can Fahrettin Koyuncu, Germán Corredor, Prateek Prasanna, Patrick Leo, Xiangxue Wang, Andrew Janowczyk, Kaustav Bera, James Lewis, Vamsidhar Velcheti, Anant Madabhushi
Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers. Medical Image Anal. 68 (2021)
Ruiwen Ding, Prateek Prasanna, Germán Corredor, Cheng Lu, Priya Velu, Khoi Le, Patrick Leo, Niha G. Beig, Vamsidhar Velcheti, David L. Rimm, Kurt A. Schalper, Anant Madabhushi
Compactness measures of tumor infiltrating lymphocytes in lung adenocarcinoma are associated with overall patient survival and immune scores. Medical Imaging: Digital Pathology (2020)
Mohammadhadi Khorrami, Mehdi Alilou, Prateek Prasanna, Pradnya Patil, Pirya Velu, Kaustav Bera, Pingfu Fu, Vamsidhar Velcheti, Anant Madabhushi
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. Medical Imaging: Computer-Aided Diagnosis (2019)
Mehdi Alilou, Pranjal Vaidya, Mohammadhadi Khorrami, Alexia Zagouras, Pradnya Patil, Kaustav Bera, Pingfu Fu, Vamsidhar Velcheti, Anant Madabhushi
Quantitative vessel tortuosity radiomics on baseline non-contrast lung CT predict response to immunotherapy and are prognostic of overall survival. Medical Imaging: Computer-Aided Diagnosis (2019)
Cristian Barrera, Germán Corredor, Xiangxue Wang, Kurt A. Schalper, David L. Rimm, Vamsidhar Velcheti, Anant Madabhushi, Edgar Eduardo Romero Castro
Phenotyping tumor infiltrating lymphocytes (PhenoTIL) on H&E tissue images: predicting recurrence in lung cancer. Medical Imaging: Digital Pathology (2019)
Cheng Lu, Xiangxue Wang, Prateek Prasanna, Germán Corredor, Geoffrey Sedor, Kaustav Bera, Vamsidhar Velcheti, Anant Madabhushi
Feature Driven Local Cell Graph (FeDeG): Predicting Overall Survival in Early Stage Lung Cancer. MICCAI (2) (2018)
Pranjal Vaidya, Xiangxue Wang, Kaustav Bera, Arjun Khunger, Humberto Choi, Pradnya Patil, Vamsidhar Velcheti, Anant Madabhushi
RaPtomics: integrating radiomic and pathomic features for predicting recurrence in early stage lung cancer. Medical Imaging: Digital Pathology (2018)
Germán Corredor, Xiangxue Wang, Cheng Lu, Vamsidhar Velcheti, Eduardo Romero, Anant Madabhushi
A watershed and feature-based approach for automated detection of lymphocytes on lung cancer images. Medical Imaging: Digital Pathology (2018)
Juan D. García-Arteaga, Germán Corredor, Xiangxue Wang, Vamsidhar Velcheti, Anant Madabhushi, Eduardo Romero
A lymphocyte spatial distribution graph-based method for automated classification of recurrence risk on lung cancer images. SIPAIM (2017)
Paula Toro, Germán Corredor, Xiangxue Wang, Viviana Arias, Vamsidhar Velcheti, Anant Madabhushi, Eduardo Romero
Quantifying expert diagnosis variability when grading tumor-infiltrating lymphocytes. SIPAIM (2017)