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Kundan Thind
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2020 – today
- 2026
[c4]Ujunwa Mgboh, Rafi Ibn Sultan, Joshua Kim, Kundan Thind, Dongxiao Zhu:
Robustness of Transformer-Based Fluence Map Prediction Under Clinically Realistic Perturbations. AIME (2) 2026: 335-340
[c3]Reza Khanmohammadi, Erfan Miahi, Simerjot Kaur, Charese Smiley, Ivan Brugere, Kundan Thind, Mohammad M. Ghassemi:
How Reliable are Confidence Estimators for Large Reasoning Models? A Systematic Benchmark on High-Stakes Domains. EACL (Volume 1: Long Papers) 2026: 1669-1754
[i12]Reza Khanmohammadi, Erfan Miahi, Simerjot Kaur, Ivan Brugere, Charese H. Smiley, Kundan Thind, Mohammad M. Ghassemi:
How Reliable are Confidence Estimators for Large Reasoning Models? A Systematic Benchmark on High-Stakes Domains. CoRR abs/2601.08134 (2026)
[i11]Ujunwa Mgboh, Rafi Ibn Sultan, Joshua Kim, Kundan Thind, Dongxiao Zhu:
Robustness of Transformer-Based Fluence Map Prediction Under Clinically Realistic Perturbations. CoRR abs/2605.00904 (2026)
[i10]Reza Khanmohammadi, Erfan Miahi, Simerjot Kaur, Charese H. Smiley, Ivan Brugere, Kundan Thind, Mohammad M. Ghassemi:
Grounded or Guessing? LVLM Confidence Estimation via Blind-Image Contrastive Ranking. CoRR abs/2605.10893 (2026)
[i9]Reza Khanmohammadi, Kundan Thind, Mohammad M. Ghassemi:
Calibrated Triage, Not Autonomy: Confidence Estimation for Medical Vision-Language Models. CoRR abs/2606.15910 (2026)- 2025
[j1]Michael Kovalchick
, Hyeok Jun Lee, Chad Klochko, Kundan Thind:
Validation of UniverSeg for Interventional Abdominal Angiographic Segmentation. J. Imaging Inform. Medicine 38(5): 2951-2957 (2025)
[c2]Reza Khanmohammadi, Erfan Miahi, Mehrsa Mardikoraem, Simerjot Kaur, Ivan Brugere, Charese Smiley, Kundan Thind, Mohammad M. Ghassemi:
Calibrating LLM Confidence by Probing Perturbed Representation Stability. EMNLP 2025: 10448-10514
[c1]Chengyin Li, Hui Zhu, Rafi Ibn Sultan, Hassan Bagher-Ebadian, Prashant Khanduri, Chetty J. Indrin, Kundan Thind, Dongxiao Zhu:
MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training. WACV 2025: 3581-3591
[i8]Humza Nusrat
, Bing Luo, Ryan Hall, Joshua Kim, Hassan Bagher-Ebadian, Anthony Doemer, Benjamin Movsas, Kundan Thind:
Autonomous Radiotherapy Treatment Planning Using DOLA: A Privacy-Preserving, LLM-Based Optimization Agent. CoRR abs/2503.17553 (2025)
[i7]Reza Khanmohammadi, Erfan Miahi, Mehrsa Mardikoraem, Simerjot Kaur, Ivan Brugere, Charese H. Smiley, Kundan Thind, Mohammad M. Ghassemi:
Calibrating LLM Confidence by Probing Perturbed Representation Stability. CoRR abs/2505.21772 (2025)
[i6]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:
Automated stereotactic radiosurgery planning using a human-in-the-loop reasoning large language model agent. CoRR abs/2512.20586 (2025)
[i5]Ujunwa Mgboh, Rafi Ibn Sultan, Joshua Kim, Kundan Thind, Dongxiao Zhu:
FluenceFormer: Transformer-Driven Multi-Beam Fluence Map Regression for Radiotherapy Planning. CoRR abs/2512.22425 (2025)- 2024
[i4]Reza Khanmohammadi, Ahmed I. Ghanem, Kyle Verdecchia, Ryan Hall, Mohamed Elshaikh, Benjamin Movsas, Hassan Bagher-Ebadian, Indrin J. Chetty, Mohammad M. Ghassemi, Kundan Thind:
Iterative Prompt Refinement for Radiation Oncology Symptom Extraction Using Teacher-Student Large Language Models. CoRR abs/2402.04075 (2024)
[i3]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:
Hybrid Student-Teacher Large Language Model Refinement for Cancer Toxicity Symptom Extraction. CoRR abs/2408.04775 (2024)
[i2]Chengyin Li, Hui Zhu, Rafi Ibn Sultan
, Hassan Bagher-Ebadian, Prashant Khanduri, Indrin J. Chetty, Kundan Thind, Dongxiao Zhu:
MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training. CoRR abs/2411.15576 (2024)- 2023
[i1]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:
An Introduction to Natural Language Processing Techniques and Framework for Clinical Implementation in Radiation Oncology. CoRR abs/2311.02205 (2023)
Coauthor Index

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