Tianyi Ren, Juampablo Heras Rivera, Agamdeep Chopra, Mehmet Kurt (2026). Bias Mitigation for Brain Age Prediction via Age Delta Correlation Loss. 2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI).

Juampablo E Heras Rivera, Dickson T Chen, Tianyi Ren, Daniel K Low, Asma Ben Abacha, Alberto Santamaria-Pang, Mehmet Kurt (2026). BTReport: A Framework for Brain Tumor Radiology Report Generation with Clinically Relevant Features. Medical Imaging with Deep Learning.

Tianyi Ren, Daniel Low, Rachel Xiang, Pittra Jaengprajak, Juampablo E Heras Rivera, Riley Olson, Jacob Ruzevick, Mehmet Kurt (2026). Can You Trust Your Model? Constructing Uncertainty Approximations Guaranteeing Validity of Glioma Segmentation Explanations. Medical Imaging with Deep Learning.

Tianyi Ren, Daniel Low, Pittra Jaengprajak, Juampablo Heras Rivera, Jacob Ruzevick, Mehmet Kurt (2026). Clinical Interpretability of Deep Learning Segmentation Through Shapley-Derived Agreement and Uncertainty Metrics. 2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI).

Juampablo E Heras Rivera, Harshitha Rebala, Tianyi Ren, Abhishek Sharma, Mehmet Kurt (2024). Improving glioma segmentation in low-resolution domains with transfer learning. Medical Imaging with Deep Learning.

Ezequiel De La Rosa, Ruisheng Su, Mauricio Reyes, Roland Wiest, Evamaria O Riedel, Florian Kofler, Kaiyuan Yang, Hakim Baazaoui, David Robben, Susanne Wegener, Others (2024). Isles' 24: Improving final infarct prediction in ischemic stroke using multimodal imaging and clinical data. 2024.

Svetlana v Poroseva, JE Heras Rivera (2023). Benefits and challenges of data-driven models for velocity/pressure-gradient correlations in turbulent flows.. 10th International Symposium on Turbulence, Heat and Mass Transfer, THMT-23, Rome, Italy, 11-15 September 2023.

Juampablo E Heras Rivera (2023). Development of models for the velocity-pressure gradient correlations in incompressible wall-bounded planar turbulent flows using multiple linear regression. 2023.

Beth a Lindquist, Ryan B Jadrich, Juampablo E Heras Rivera, Lucia I Rondini (2023). Uncertainty quantification for high explosive reactant and product equations of state. Journal of Applied Physics.

Svetlana Poroseva, Juampablo Heras Rivera (2022). On the Contribution of Data Errors in DNS Data-Driven VPG Correlation Models. AIAA AVIATION 2022 Forum.

Juampablo E Heras Rivera, Daniel K Low, Xavier Xiong, Jacob J Ruzevick, Daniel D Child, Wen-Wai Yim, Mehmet Kurt, Asma Ben Abacha (2026). CoRe-BT: A Multimodal Radiology-Pathology-Text Benchmark for Robust Brain Tumor Typing. arXiv preprint arXiv:2603.03618.

Agamdeep S Chopra, Caitlin Neher, Tianyi Ren, Juampablo E Heras Rivera, Mehmet Kurt (2026). DisQ-HNet: A Disentangled Quantized Half-UNet for Interpretable Multimodal Image Synthesis Applications to Tau-PET Synthesis from T1 and FLAIR MRI. arXiv e-prints.

Agamdeep S Chopra, Caitlin Neher, Tianyi Ren, Juampablo E Heras Rivera, Hesam Jahanian, Mehmet Kurt (2026). Interpretable Tau-PET Synthesis from Multimodal T1-Weighted and FLAIR MRI Using Partial Information Decomposition Guided Disentangled Quantized Half-UNet. arXiv preprint arXiv:2602.22545.

Juampablo E Heras Rivera, Hitender Oswal, Tianyi Ren, Yutong Pan, William Henry, Caitlin M Neher, Mehmet Kurt (2025). Clinically-Informed Preprocessing Improves Stroke Segmentation in Low-Resource Settings. arXiv preprint arXiv:2508.16004.

Tianyi Ren, Juampablo Heras Rivera, Hitender Oswal, Yutong Pan, Agamdeep Chopra, Jacob Ruzevick, Mehmet Kurt (2025). Here comes the explanation: A shapley perspective on multi-contrast medical image segmentation. arXiv preprint arXiv:2504.04645.

Tianyi Ren, Juampablo E Heras Rivera, Hitender Oswal, Yutong Pan, William Henry, Sophie Walters, Mehmet Kurt (2025). How We Won the ISLES'24 Challenge by Preprocessing. arXiv preprint arXiv:2505.18424.

Juampablo E Heras Rivera, Caitlin M Neher, Mehmet Kurt (2025). Real-time nonlinear inversion of magnetic resonance elastography with operator learning. arXiv preprint arXiv:2510.03372.

Juampablo E Heras Rivera, Agamdeep S Chopra, Tianyi Ren, Hitender Oswal, Yutong Pan, Zineb Sordo, Sophie Walters, William Henry, Hooman Mohammadi, Riley Olson, Others (2024). An ensemble approach for brain tumor segmentation and synthesis. arXiv preprint arXiv:2411.17617.

Tianyi Ren, Abhishek Sharma, Juampablo Heras Rivera, Harshitha Rebala, Ethan Honey, Agamdeep Chopra, Jacob Ruzevick, Mehmet Kurt (2024). Re-DiffiNet: modeling discrepancies in tumor segmentation using diffusion models. arXiv preprint arXiv:2402.07354.