Kundan Thind

According to our database, Kundan Thind authored at least 13 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Grounded or Guessing? LVLM Confidence Estimation via Blind-Image Contrastive Ranking.

Reza Khanmohammadi, Erfan Miahi, Simerjot Kaur, Charese H. Smiley, Ivan Brugere, Kundan Thind, Mohammad M. Ghassemi

CoRR, May, 2026

Robustness of Transformer-Based Fluence Map Prediction Under Clinically Realistic Perturbations.

Ujunwa Mgboh, Rafi Ibn Sultan, Joshua Kim, Kundan Thind, Dongxiao Zhu

CoRR, May, 2026

How Reliable are Confidence Estimators for Large Reasoning Models? A Systematic Benchmark on High-Stakes Domains.

Reza Khanmohammadi, Erfan Miahi, Simerjot Kaur, Charese Smiley, Ivan Brugere, Kundan Thind, Mohammad M. Ghassemi

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

FluenceFormer: Transformer-Driven Multi-Beam Fluence Map Regression for Radiotherapy Planning.

Ujunwa Mgboh, Rafi Ibn Sultan, Joshua Kim, Kundan Thind, Dongxiao Zhu

CoRR, December, 2025

Automated stereotactic radiosurgery planning using a human-in-the-loop reasoning large language model agent.

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

CoRR, December, 2025

Autonomous Radiotherapy Treatment Planning Using DOLA: A Privacy-Preserving, LLM-Based Optimization Agent.

Humza Nusrat, Bing Luo, Ryan Hall, Joshua Kim, Hassan Bagher-Ebadian, Anthony Doemer, Benjamin Movsas, Kundan Thind

CoRR, March, 2025

Validation of UniverSeg for Interventional Abdominal Angiographic Segmentation.

Michael Kovalchick, Hyeok Jun Lee, Chad Klochko, Kundan Thind

J. Imaging Inform. Medicine, 2025

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training.

Chengyin Li, Hui Zhu, Rafi Ibn Sultan, Hassan Bagher-Ebadian, Prashant Khanduri, Chetty J. Indrin, Kundan Thind, Dongxiao Zhu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Calibrating LLM Confidence by Probing Perturbed Representation Stability.

Reza Khanmohammadi, Erfan Miahi, Mehrsa Mardikoraem, Simerjot Kaur, Ivan Brugere, Charese Smiley, Kundan Thind, Mohammad M. Ghassemi

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training.

Chengyin Li, Hui Zhu, Rafi Ibn Sultan, Hassan Bagher-Ebadian, Prashant Khanduri, Indrin J. Chetty, Kundan Thind, Dongxiao Zhu

CoRR, 2024

Hybrid Student-Teacher Large Language Model Refinement for Cancer Toxicity Symptom Extraction.

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

CoRR, 2024

Iterative Prompt Refinement for Radiation Oncology Symptom Extraction Using Teacher-Student Large Language Models.

Reza Khanmohammadi, Ahmed I. Ghanem, Kyle Verdecchia, Ryan Hall, Mohamed Elshaikh, Benjamin Movsas, Hassan Bagher-Ebadian, Indrin J. Chetty, Mohammad M. Ghassemi, Kundan Thind

CoRR, 2024

2023

An Introduction to Natural Language Processing Techniques and Framework for Clinical Implementation in Radiation Oncology.

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

CoRR, 2023