Tianyi Ren

15 papers C 2Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
BTReport: A Framework for Brain Tumor Radiology Report Generation with Clinically Relevant Features.
CoRR
Juampablo Heras Rivera, Dickson T. Chen, Tianyi Ren, Daniel Low, Asma Ben Abacha, Alberto Santamaria-Pang, Mehmet Kurt
2026 J jnl
DisQ-HNet: A Disentangled Quantized Half-UNet for Interpretable Multimodal Image Synthesis Applications to Tau-PET Synthesis from T1 and FLAIR MRI.
CoRR
Agamdeep Chopra, Caitlin M. Neher, Tianyi Ren, Juampablo Heras Rivera, Mehmet Kurt
2025 J jnl
Clinical Interpretability of Deep Learning Segmentation Through Shapley-Derived Agreement and Uncertainty Metrics.
CoRR
Tianyi Ren, Daniel Low, Pittra Jaengprajak, Juampablo Heras Rivera, Jacob Ruzevick, Mehmet Kurt
2025 J jnl
Clinically-Informed Preprocessing Improves Stroke Segmentation in Low-Resource Settings.
CoRR
Juampablo Heras Rivera, Hitender Oswal, Tianyi Ren, Yutong Pan, William Henry, Caitlin M. Neher, Mehmet Kurt
2025 C conf
Energy-Conscious Image Enhancement for Dimmed Displays: Balancing Visual Quality and Power Efficiency for Consumer Devices.
ICCE
Alireza Rafiei Sardouei, Aakash Ramesh, Tianyi Ren, Hamid Reza Tohidypour, Panos Nasiopoulos
2025 — conf
Here Comes the Explanation: A Shapley Perspective on Multi-contrast Medical Image Segmentation.
xAI (Late-breaking Work, Demos, Doctoral Consortium)
Tianyi Ren, Juampablo Heras Rivera, Hitender Oswal, Yutong Pan, Agamdeep Chopra, Jacob Ruzevick, Mehmet Kurt
2025 J jnl
Here Comes the Explanation: A Shapley Perspective on Multi-contrast Medical Image Segmentation.
CoRR
Tianyi Ren, Juampablo Heras Rivera, Hitender Oswal, Yutong Pan, Agamdeep Chopra, Jacob Ruzevick, Mehmet Kurt
2025 J jnl
How We Won the ISLES'24 Challenge by Preprocessing.
CoRR
Tianyi Ren, Juampablo Heras Rivera, Hitender Oswal, Yutong Pan, William Henry, Sophie Walters, Mehmet Kurt
2024 J jnl
An Ensemble Approach for Brain Tumor Segmentation and Synthesis.
CoRR
Juampablo Heras Rivera, Agamdeep Chopra, Tianyi Ren, Hitender Oswal, Yutong Pan, Zineb Sordo, Sophie Walters, William Henry, Hooman Mohammadi, Riley Olson, Fargol Rezayaraghi, Tyson Lam, Akshay Jaikanth, Pavan Kancharla, Jacob Ruzevick, Daniela Ushizima, Mehmet Kurt
2024 J jnl
An Optimization Framework for Processing and Transfer Learning for the Brain Tumor Segmentation.
CoRR
Tianyi Ren, Ethan Honey, Harshitha Rebala, Abhishek Sharma, Agamdeep Chopra, Mehmet Kurt
2024 J jnl
Day-to-Night Street View Image Generation for 24-Hour Urban Scene Auditing Using Generative AI.
J. Imaging
Zhiyi Liu, Tingting Li, Tianyi Ren, Da Chen, Wenjing Li, Waishan Qiu
2024 J jnl
Re-DiffiNet: Modeling discrepancies loss in tumor segmentation using diffusion models.
CoRR
Tianyi Ren, Abhishek Sharma, Juampablo Heras Rivera, Harshitha Rebala, Ethan Honey, Agamdeep Chopra, Jacob Ruzevick, Mehmet Kurt
2024 — conf
Re-DiffiNet: Modeling discrepancy in tumor segmentation using diffusion models.
MIDL
Tianyi Ren, Abhishek Sharma, Juampablo Heras Rivera, Lakshmi Harshitha Rebala, Ethan Honey, Agamdeep Chopra, Mehmet Kurt
2024 C conf
SDN-Based Fault-Resilient Scheme for Wireless Industrial Internet of Things.
INDIN
Qingwei Sun, Jinglong Zhang, Shanying Zhu, Dongdong Zhao, Tianyi Ren
2023 — conf
An Optimization Framework for Processing and Transfer Learning for the Brain Tumor Segmentation.
BraTS/CrossMoDA@MICCAI
Tianyi Ren, Ethan Honey, Harshitha Rebala, Abhishek Sharma, Agamdeep Chopra, Mehmet Kurt