Rakesh Shiradkar

17 papers A* 2B 2Journal 7Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Domain-Specific Knowledge Graphs in RAG-Enhanced Healthcare LLMs.
CoRR
Sydney Anuyah, Mehedi Mahmud Kaushik, Hao Dai, Rakesh Shiradkar, Arjan Durresi, Sunandan Chakraborty
2025 A* conf
Automated Knowledge Graph Construction using Large Language Models and Sentence Complexity Modelling.
EMNLP
Sydney Anuyah, Mehedi Mahmud Kaushik, Sri Rama Krishna Reddy Dwarampudi, Rakesh Shiradkar, Arjan Durresi, Sunandan Chakraborty
2025 J jnl
Automated Knowledge Graph Construction using Large Language Models and Sentence Complexity Modelling.
CoRR
Sydney Anuyah, Mehedi Mahmud Kaushik, Sri Rama Krishna Reddy Dwarampudi, Rakesh Shiradkar, Arjan Durresi, Sunandan Chakraborty
2025 B conf
Domain-Specific Knowledge Graphs in RAG-Enhanced Healthcare LLMS.
IEEE Big Data
Sydney Anuyah, Mehedi Mahmud Kaushik, Hao Dai, Rakesh Shiradkar, Arjan Durresi, Sunandan Chakraborty
2025 J jnl
PROFUSEme: PROstate Cancer Biochemical Recurrence Prediction via FUSEd Multi-modal Embeddings.
CoRR
Suhang You, Carla Pitarch-Abaigar, Sanket Kachole, Sumedh Sonawane, Juhyung Ha, Anish Sudarshan Gada, David Crandall, Rakesh Shiradkar, Spyridon Bakas
2024 J jnl
Deep learning reveals lung shape differences on baseline chest CT between mild and severe COVID-19: A multi-site retrospective study.
Comput. Biol. Medicine
Amogh Hiremath, Vidya Sankar Viswanathan, Kaustav Bera, Rakesh Shiradkar, Lei Yuan, Keith Armitage, Robert Gilkeson, Mengyao Ji, Pingfu Fu, Amit Gupta, Cheng Lu, Anant Madabhushi
2024 J jnl
Identifying and improving the "ground truth" of race in disparities research through improved EMR data reporting. A systematic review.
Int. J. Medical Informatics
Babajide O. Owosela, Rebecca S. Steinberg, Sharon L. Leslie, Leo A. Celi, Saptarshi Purkayastha, Rakesh Shiradkar, Janice M. Newsome, Judy W. Gichoya
2023 J jnl
Ten quick tips for computational analysis of medical images.
PLoS Comput. Biol.
Davide Chicco, Rakesh Shiradkar
2022 — conf
Evaluating the sensitivity of deep learning to inter-reader variations in lesion delineations on bi-parametric MRI in identifying clinically significant prostate cancer.
Computer-Aided Diagnosis
Ansh Roge, Amogh Hiremath, Michael Sobota, Sree Harsha Tirumani, Leonardo Kayat Bittencourt, Justin Ream, Ryan Ward, Halimat Olaniyan, Sadhna Verma, Andrei S. Purysko, Anant Madabhushi, Rakesh Shiradkar
2021 — conf
LuMiRa: An Integrated Lung Deformation Atlas and 3D-CNN Model of Infiltrates for COVID-19 Prognosis.
MICCAI (7)
Amogh Hiremath, Lei Yuan, Rakesh Shiradkar, Kaustav Bera, Vidya Sankar Viswanathan, Pranjal Vaidya, Jennifer Furin, Keith Armitage, Robert Gilkeson, Mengyao Ji, Pingfu Fu, Amit Gupta, Cheng Lu, Anant Madabhushi
2020 — conf
A combination of intra- and peri-tumoral deep features from prostate bi-parametric MRI can distinguish clinically significant and insignificant prostate cancer.
Computer-Aided Diagnosis
Amogh Hiremath, Rakesh Shiradkar, Nathaniel Braman, Prateek Prasanna, Ardeshir R. Rastinehad, Andrei S. Purysko, Anant Madabhushi
2020 — conf
Radiomic features derived from periprostatic fat on pre-surgical T2w MRI predict extraprostatic extension of prostate cancer identified on post-surgical pathology: preliminary results.
Computer-Aided Diagnosis
Rakesh Shiradkar, Ruyuan Zuo, Amr Mahran, Lee Ponsky, Sree Harsha Tirumani, Anant Madabhushi
2019 — conf
Radiomic features derived from pre-operative multi-parametric MRI of prostate cancer are associated with Decipher risk score.
Computer-Aided Diagnosis
Lin Li, Rakesh Shiradkar, Ahmad Algohary, Patrick Leo, Cristina Magi-Galluzzi, Eric Klein, Andrei S. Purysko, Anant Madabhushi
2017 — conf
Field Effect Induced Organ Distension (FOrge) Features Predicting Biochemical Recurrence from Pre-treatment Prostate MRI.
MICCAI (2)
Soumya Ghose, Rakesh Shiradkar, Mirabela Rusu, Jhimli Mitra, Rajat Thawani, Michael D. Feldman, Amar Gupta, Andrei S. Purysko, Lee Ponsky, Anant Madabhushi
2014 A* conf
A New Perspective on Material Classification and Ink Identification.
CVPR
Rakesh Shiradkar, Li Shen, George V. Landon, Sim Heng Ong, Ping Tan
2014 J jnl
Auto-calibrating photometric stereo using ring light constraints.
Mach. Vis. Appl.
Rakesh Shiradkar, Ping Tan, Sim Heng Ong
2013 B conf
Surface reconstruction using isocontours of constant depth and gradient.
ICIP
Rakesh Shiradkar, Sim Heng Ong