Kundan Thind

13 papers A* 1A 1Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2026 — conf
How Reliable are Confidence Estimators for Large Reasoning Models? A Systematic Benchmark on High-Stakes Domains.
EACL (Volume 1: Long Papers)
Reza Khanmohammadi, Erfan Miahi, Simerjot Kaur, Charese Smiley, Ivan Brugere, Kundan Thind, Mohammad M. Ghassemi
2026 J jnl
How Reliable are Confidence Estimators for Large Reasoning Models? A Systematic Benchmark on High-Stakes Domains.
CoRR
Reza Khanmohammadi, Erfan Miahi, Simerjot Kaur, Ivan Brugere, Charese H. Smiley, Kundan Thind, Mohammad M. Ghassemi
2025 J jnl
Automated stereotactic radiosurgery planning using a human-in-the-loop reasoning large language model agent.
CoRR
Humza Nusrat, Luke Francisco, Bing Luo, Hassan Bagher-Ebadian, Joshua Kim, Karen Chin-Snyder, Salim Siddiqui, Mira Shah, Eric Mellon, Mohammad M. Ghassemi, Anthony Doemer, Benjamin Movsas, Kundan Thind
2025 J jnl
Autonomous Radiotherapy Treatment Planning Using DOLA: A Privacy-Preserving, LLM-Based Optimization Agent.
CoRR
Humza Nusrat, Bing Luo, Ryan Hall, Joshua Kim, Hassan Bagher-Ebadian, Anthony Doemer, Benjamin Movsas, Kundan Thind
2025 A* conf
Calibrating LLM Confidence by Probing Perturbed Representation Stability.
EMNLP
Reza Khanmohammadi, Erfan Miahi, Mehrsa Mardikoraem, Simerjot Kaur, Ivan Brugere, Charese Smiley, Kundan Thind, Mohammad M. Ghassemi
2025 J jnl
Calibrating LLM Confidence by Probing Perturbed Representation Stability.
CoRR
Reza Khanmohammadi, Erfan Miahi, Mehrsa Mardikoraem, Simerjot Kaur, Ivan Brugere, Charese H. Smiley, Kundan Thind, Mohammad M. Ghassemi
2025 J jnl
FluenceFormer: Transformer-Driven Multi-Beam Fluence Map Regression for Radiotherapy Planning.
CoRR
Ujunwa Mgboh, Rafi Ibn Sultan, Joshua Kim, Kundan Thind, Dongxiao Zhu
2025 A conf
MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training.
WACV
Chengyin Li, Hui Zhu, Rafi Ibn Sultan, Hassan Bagher-Ebadian, Prashant Khanduri, Chetty J. Indrin, Kundan Thind, Dongxiao Zhu
2025 J jnl
Validation of UniverSeg for Interventional Abdominal Angiographic Segmentation.
J. Imaging Inform. Medicine
Michael Kovalchick, Hyeok Jun Lee, Chad Klochko, Kundan Thind
2024 J jnl
Hybrid Student-Teacher Large Language Model Refinement for Cancer Toxicity Symptom Extraction.
CoRR
Reza Khanmohammadi, Ahmed I. Ghanem, Kyle Verdecchia, Ryan Hall, Mohamed Elshaikh, Benjamin Movsas, Hassan Bagher-Ebadian, Luo Bing, Indrin J. Chetty, Tuka Alhanai, Kundan Thind, Mohammad M. Ghassemi
2024 J jnl
Iterative Prompt Refinement for Radiation Oncology Symptom Extraction Using Teacher-Student Large Language Models.
CoRR
Reza Khanmohammadi, Ahmed I. Ghanem, Kyle Verdecchia, Ryan Hall, Mohamed Elshaikh, Benjamin Movsas, Hassan Bagher-Ebadian, Indrin J. Chetty, Mohammad M. Ghassemi, Kundan Thind
2024 J jnl
MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training.
CoRR
Chengyin Li, Hui Zhu, Rafi Ibn Sultan, Hassan Bagher-Ebadian, Prashant Khanduri, Indrin J. Chetty, Kundan Thind, Dongxiao Zhu
2023 J jnl
An Introduction to Natural Language Processing Techniques and Framework for Clinical Implementation in Radiation Oncology.
CoRR
Reza Khanmohammadi, Mohammad M. Ghassemi, Kyle Verdecchia, Ahmed I. Ghanem, Luo Bing, Indrin J. Chetty, Hassan Bagher-Ebadian, Farzan Siddiqui, Mohamed Elshaikh, Benjamin Movsas, Kundan Thind