Study of variation of pelvis positioning for patients suffering from rectal cancer using daily kilo-voltage cone beam CT images. - Sayan Mandal; Bijju Kranthi Veduruparthi; Jayanta Mukherjee 001; Partha Pratim Das 001; Indranil Mallick (NCVPRIPG, 2015)

Reduction of variance of observations on pelvic structures in CBCT images using novel mean-shift and mutual information based image registration? - Sai Phani Kumar Malladi; Bijju Kranthi Veduruparthi; Jayanta Mukherjee 001; Partha Pratim Das 001; Saswat Chakrabarti; Indranil Mallick (ICVGIP, 2016)

Automated Measurement of Translational Margins and Rotational Shifts in Pelvic Structures Using CBCT Images of Rectal Cancer Patients. - Sai Phani Kumar Malladi; Bijju Kranthi Veduruparthi; Jayanta Mukherjee 001; Partha Pratim Das 001; Saswat Chakrabarti; Indranil Mallick (PReMI, 2017)

Robust 3D registration of CBCT images aggregating multiple estimates through random sampling. - Sai Phani Kumar Malladi; Bijju Kranthi Veduruparthi; Jayanta Mukhopadhyay; Partha Pratim Das 001; Saswat Chakrabarti; Indranil Mallick (Pattern Recognit. Lett., 2018)

Prediction of survival outcome based on clinical features and pretreatment 18FDG-PET/CT for HNSCC patients. - Sayantani Ghosh; Shaurav Maulik; Sanjoy Chatterjee; Indranil Mallick; Nishant Chakravorty; Jayanta Mukherjee 001 (Comput. Methods Programs Biomed., 2020)

De-Identification of Radiomics Data Retaining Longitudinal Temporal Information. - Surajit Kundu; Santam Chakraborty; Sanjoy Chatterjee; Sangeeta Das Bhattacharya; Rimpa Basu Achari; Jayanta Mukhopadhyay; Partha Pratim Das 001; Indranil Mallick; Moses Arunsingh; Tapesh Bhattacharyyaa; Soumendranath Ray (J. Medical Syst., 2020)

A Corrigendum on "De-Identification of Radiomics Data Retaining Longitudinal Temporal Information". - Surajit Kundu; Santam Chakraborty; Sanjoy Chatterjee; S. Das Bhattacharya; Rimpa Basu Achari; Jayanta Mukhopadhyay; Partha Pratim Das 001; Indranil Mallick; Moses Arunsingh; Tapesh Bhattacharyyaa; Soumendranath Ray (J. Medical Syst., 2020)

MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation. - Alexandros Karargyris; Renato Umeton; Micah J. Sheller; Alejandro Aristizabal; Johnu George; Srini Bala; Daniel J. Beutel; Victor Bittorf; Akshay Chaudhari; Alexander Chowdhury; Cody Coleman; Bala Desinghu; et al. (CoRR, 2021)

Research Goal-Driven Data Model and Harmonization for De-Identifying Patient Data in Radiomics. - Surajit Kundu; Santam Chakraborty; Jayanta Mukhopadhyay; Syamantak Das; Sanjoy Chatterjee; Rimpa Basu Achari; Indranil Mallick; Partha Pratim Das 001; Moses Arunsingh; Tapesh Bhattacharyyaa; Soumendranath Ray (J. Digit. Imaging, 2021)

A Web-based Dose-volume Histogram Dashboard for Library-based Individualized Dose-constraints and Clinical Plan Evaluation. - Indranil Mallick; Saheli Saha; Moses Arunsingh (J. Medical Syst., 2021)

Design and Development of a Medical Image Databank for Assisting Studies in Radiomics. - Surajit Kundu; Santam Chakraborty; Jayanta Mukhopadhyay; Syamantak Das; Sanjoy Chatterjee; Rimpa Basu Achari; Indranil Mallick; Partha Pratim Das 001; Moses Arunsingh; Tapesh Bhattacharyyaa; Soumendranath Ray (J. Digit. Imaging, 2022)

Federated benchmarking of medical artificial intelligence with MedPerf. - Alexandros Karargyris; Renato Umeton; Micah J. Sheller; Alejandro Aristizabal; Johnu George; Anna Wuest; Sarthak Pati; Hasan Kassem; Maximilian Zenk; Ujjwal Baid; Prakash Narayana Moorthy; Alexander Chowdhury; et al. (Nat. Mac. Intell., 2023)

Machine learning for prediction of dose-volume histograms of organs-at-risk in prostate cancer from simple structure volume parameters. - Saheli Saha; Debasmita Banerjee; Rishi Ram; Gowtham Reddy; Debashree Guha; Arnab Sarkar; Bapi Dutta; Moses Arunsingh; Suman Chakraborty; Indranil Mallick (CoRR, 2024)