Bin Wang

According to our database, Bin Wang authored at least 21 papers between 2021 and 2025.

Collaborative distances:

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

2025

Large-scale multi-center CT and MRI segmentation of pancreas with deep learning.

Zheyuan Zhang, Elif Keles, Gorkem Durak, Yavuz Taktak, Onkar Susladkar, Vandan Gorade, Debesh Jha, Asli C. Ormeci, Alpay Medetalibeyoglu, Lanhong Yao, Bin Wang, Ilkin Sevgi Isler, Linkai Peng, Hongyi Pan, Camila Lopes Vendrami, Amir Bourhani, Yury Velichko, Boqing Gong, Concetto Spampinato, Ayis Pyrros, Pallavi Tiwari, Derk C. F. Klatte, Megan Engels, Sanne Hoogenboom, Candice W. Bolan, Emil Agarunov, Nassier Harfouch, Chenchan Huang, Marco J. Bruno, Ivo Schoots, Rajesh N. Keswani, Frank H. Miller, Tamas Gonda, Cemal Yazici, Temel Tirkes, Baris Turkbey, Michael B. Wallace, Ulas Bagci

Medical Image Anal., 2025

Order-aware Interactive Segmentation.

Bin Wang, Anwesa Choudhuri, Meng Zheng, Zhongpai Gao, Benjamin Planche, Andong Deng, Qin Liu, Terrence Chen, Ulas Bagci, Ziyan Wu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation.

Debesh Jha, Nikhil Kumar Tomar, Koushik Biswas, Gorkem Durak, Matthew Antalek, Zheyuan Zhang, Bin Wang, Md Mostafijur Rahman, Hongyi Pan, Alpay Medetalibeyoglu, Vandan Gorade, Abhijit Das, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Shifts in Doctors' Eye Movements Between Real and AI-Generated Medical Images.

David C. Wong, Bin Wang, Gorkem Durak, Marouane Tliba, Mohamed Amine Kerkouri, Aladine Chetouani, Ahmet Enis Çetin, Cagdas Topel, Nicolo Gennaro, Camila Vendrami, Tugce Agirlar Trabzonlu, Amir Ali Rahsepar, Laetitia Perronne, Matthew Antalek, Onural Ozturk, Gokcan Okur, Andrew C. Gordon, Ayis Pyrros, Frank H. Miller, Amir Borhani, Hatice Savas, Eric M. Hart, Elizabeth A. Krupinski, Ulas Bagci

Proceedings of the 2025 Symposium on Eye Tracking Research and Applications, 2025

Seq2Time: Sequential Knowledge Transfer for Video LLM Temporal Grounding.

Andong Deng, Zhongpai Gao, Anwesa Choudhuri, Benjamin Planche, Meng Zheng, Bin Wang, Terrence Chen, Chen Chen, Ziyan Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Eyes Tell the Truth: GazeVal Highlights Shortcomings of Generative AI in Medical Imaging.

David C. Wong, Bin Wang, Gorkem Durak, Marouane Tliba, Akshay Chaudhari, Aladine Chetouani, Ahmet Enis Çetin, Cagdas Topel, Nicolo Gennaro, Camila Lopes Vendrami, Tugce Agirlar Trabzonlu, Amir Ali Rahsepar, Laetitia Perronne, Matthew Antalek, Onural Ozturk, Gokcan Okur, Andrew C. Gordon, Ayis Pyrros, Frank H. Miller, Amir Borhani, Hatice Savas, Eric M. Hart, Drew A. Torigian, Jayaram K. Udupa, Elizabeth A. Krupinski, Ulas Bagci

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

Beam-wise dose composition learning for head and neck cancer dose prediction in radiotherapy.

Lin Teng, Bin Wang, Xuanang Xu, Jiadong Zhang, Lanzhuju Mei, Qianjin Feng, Dinggang Shen

Medical Image Anal., February, 2024

MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation.

Debesh Jha, Nikhil Kumar Tomar, Koushik Biswas, Gorkem Durak, Matthew Antalek, Zheyuan Zhang, Bin Wang, Md Mostafijur Rahman, Hongyi Pan, Alpay Medetalibeyoglu, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci

CoRR, 2024

Domain Generalization with Correlated Style Uncertainty.

Zheyuan Zhang, Bin Wang, Debesh Jha, Ugur Demir, Ulas Bagci

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification.

Bin Wang, Hongyi Pan, Armstrong Aboah, Zheyuan Zhang, Elif Keles, Drew A. Torigian, Baris Turkbey, Elizabeth A. Krupinski, Jayaram K. Udupa, Ulas Bagci

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Domain Generalization with fourier Transform and soft thresholding.

Hongyi Pan, Bin Wang, Zheyuan Zhang, Xin Zhu, Debesh Jha, Ahmet Enis Çetin, Concetto Spampinato, Ulas Bagci

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

EMIT-Diff: Enhancing Medical Image Segmentation via Text-Guided Diffusion Model.

Zheyuan Zhang, Lanhong Yao, Bin Wang, Debesh Jha, Elif Keles, Alpay Medetalibeyoglu, Ulas Bagci

CoRR, 2023

Domain Generalization with Fourier Transform and Soft Thresholding.

Hongyi Pan, Bin Wang, Zheyuan Zhan, Xin Zhu, Debesh Jha, Ahmet Enis Çetin, Concetto Spampinato, Ulas Bagci

CoRR, 2023

GazeGNN: A Gaze-Guided Graph Neural Network for Disease Classification.

Bin Wang, Hongyi Pan, Armstrong Aboah, Zheyuan Zhang, Ahmet Enis Çetin, Drew A. Torigian, Baris Turkbey, Elizabeth A. Krupinski, Jayaram K. Udupa, Ulas Bagci

CoRR, 2023

GazeSAM: What You See is What You Segment.

Bin Wang, Armstrong Aboah, Zheyuan Zhang, Ulas Bagci

CoRR, 2023

Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation.

Zheyuan Zhang, Bin Wang, Lanhong Yao, Ugur Demir, Debesh Jha, Ismail Baris Turkbey, Boqing Gong, Ulas Bagci

CoRR, 2023

GazeSAM: Interactive Image Segmentation with Eye Gaze and Segment Anything Model.

Bin Wang, Armstrong Aboah, Zheyuan Zhang, Hongyi Pan, Ulas Bagci

Proceedings of the Gaze Meets Machine Learning Workshop, 2023

Real-time Multi-Class Helmet Violation Detection Using Few-Shot Data Sampling Technique and YOLOv8.

Armstrong Aboah, Bin Wang, Ulas Bagci, Yaw Adu-Gyamfi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Deep Learning-Based Head and Neck Radiotherapy Planning Dose Prediction via Beam-Wise Dose Decomposition.

Bin Wang, Lin Teng, Lanzhuju Mei, Zhiming Cui, Xuanang Xu, Qianjin Feng, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Transformer Based Generative Adversarial Network for Liver Segmentation.

Ugur Demir, Zheyuan Zhang, Bin Wang, Matthew Antalek, Elif Keles, Debesh Jha, Amir Borhani, Daniela P. Ladner, Ulas Bagci

Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

2021

Computing infection distributions and longitudinal evolution patterns in lung CT images.

Dongdong Gu, Liyun Chen, Fei Shan, Liming Xia, Jun Liu, Zhanhao Mo, Fuhua Yan, Bin Song, Yaozong Gao, Xiaohuan Cao, Yanbo Chen, Ying Shao, Miaofei Han, Bin Wang, Guocai Liu, Qian Wang, Feng Shi, Dinggang Shen, Zhong Xue

BMC Medical Imaging, 2021