Ziliang Hong

According to our database, Ziliang Hong authored at least 11 papers between 2024 and 2026.

Collaborative distances:

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

2026

VHU-Net: Variational hadamard U-Net for body MRI bias field correction.

Xin Zhu, Ahmet Enis Çetin, Gorkem Durak, Batuhan Gündogdu, Ziliang Hong, Hongyi Pan, Ertugrul Aktas, Elif Keles, Hatice Savas, Aytekin Oto, Hiten D. Patel, Adam B. Murphy, Ashley Ross, Frank H. Miller, Baris Turkbey, Ulas Bagci

Medical Image Anal., 2026

Upstream Probabilistic Meta-Imputation for Multimodal Pediatric Pancreatitis Classification.

Max A. Nelson, Elif Keles, Eminenur Sen Tasci, Merve Yazol, Halil Ertugrul Aktas, Ziliang Hong, Andrea Mia Bejar, Gorkem Durak, Oznur Leman Boyunaga, Ulas Bagci

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Pancreas Part Segmentation under Federated Learning Paradigm.

Ziliang Hong, Halil Ertugrul Aktas, Andrea Mia Bejar, Katherine Wu, Hongyi Pan, Gorkem Durak, Zheyuan Zhang, Sait Kayali, Temel Tirkes, Federica Proietto Salanitri, Concetto Spampinato, Michael Goggins, Tamas Gonda, Candice W. Bolan, Rajesh N. Keswani, Frank H. Miller, Michael A. Wallace, Ulas Bagci

CoRR, September, 2025

Cyst-X: AI-Powered Pancreatic Cancer Risk Prediction from Multicenter MRI in Centralized and Federated Learning.

Hongyi Pan, Gorkem Durak, Elif Keles, Deniz Seyithanoglu, Zheyuan Zhang, Alpay Medetalibeyoglu, Halil Ertugrul Aktas, Andrea Mia Bejar, Ziliang Hong, Yavuz Taktak, Gulbiz Dagoglu Kartal, Sukru Mehmet Erturk, Timurhan Cebeci, Maria Jaramillo Gonzalez, Yury Velichko, Lili Zhao, Emil Agarunov, Federica Proietto Salanitri, Concetto Spampinato, Pallavi Tiwari, Ziyue Xu, Sachin Jambawalikar, Ivo G. Schoots, Marco J. Bruno, Chenchan Huang, Candice W. Bolan, Tamas Gonda, Frank H. Miller, Rajesh N. Keswani, Michael B. Wallace, Ulas Bagci

CoRR, July, 2025

Federated Breast Cancer Detection Enhanced by Synthetic Ultrasound Image Augmentation.

Hongyi Pan, Ziliang Hong, Gorkem Durak, Ziyue Xu, Ulas Bagci

CoRR, June, 2025

Pediatric Pancreas Segmentation from MRI Scans with Deep Learning.

Elif Keles, Merve Yazol, Gorkem Durak, Ziliang Hong, Halil Ertugrul Aktas, Zheyuan Zhang, Linkai Peng, Onkar Susladkar, Necati Guzelyel, Oznur Leman Boyunaga, Cemal Yazici, Mark Lowe, Aliye Uc, Ulas Bagci

CoRR, June, 2025

Predicting Risk of Pulmonary Fibrosis Formation in PASC Patients.

Wanying Dou, Gorkem Durak, Koushik Biswas, Ziliang Hong, Andrea Mia Bejar, Elif Keles, Kaan Akin, Sukru Mehmet Erturk, Alpay Medetalibeyoglu, Marc Sala, Alexander Misharin, Hatice Savas, Mary Salvatore, Sachin Jambawalikar, Drew A. Torigian, Jayaram K. Udupa, Ulas Bagci

CoRR, May, 2025

Pancreas Part Segmentation Under Federated Learning Paradigm.

Ziliang Hong, Halil Ertugrul Aktas, Andrea Mia Bejar, Katherine Wu, Hongyi Pan, Gorkem Durak, Zheyuan Zhang, Sait Kayali, Temel Tirkes, Federica Proietto Salanitri, Concetto Spampinato, Michael Goggins, Tamas Gonda, Candice Bolan, Rajesh Keswani, Frank H. Miller, Michael B. Wallace, Ulas Bagci

Proceedings of the Predictive Intelligence in Medicine - 8th International Workshop, 2025

IPMN Risk Assessment Under Federated Learning Paradigm.

Hongyi Pan, Ziliang Hong, Gorkem Durak, Elif Keles, Halil Ertugrul Aktas, Yavuz Taktak, Alpay Medetalibeyoglu, Zheyuan Zhang, Yury Velichko, Concetto Spampinato, Ivo Schoots, Marco J. Bruno, Pallavi Tiwari, Candice W. Bolan, Tamas Gonda, Frank H. Miller, Rajesh N. Keswani, Michael B. Wallace, Ziyue Xu, Ulas Bagci

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024

Wildfire detection via transfer learning: a survey.

Ziliang Hong, Emadeldeen Hamdan, Yifei Zhao, Tianxiao Ye, Hongyi Pan, Ahmet Enis Çetin

Signal Image Video Process., February, 2024

Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques.

Ziliang Hong, Debesh Jha, Koushik Biswas, Zheyuan Zhang, Yury Velichko, Cemal Yazici, Temel Tirkes, Amir Borhani, Baris Turkbey, Alpay Medetalibeyoglu, Gorkem Durak, Ulas Bagci

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024