Szu-Yeu Hu

According to our database, Szu-Yeu Hu authored at least 7 papers between 2018 and 2024.

Collaborative distances:

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

2024

Capabilities of Gemini Models in Medicine.

Khaled Saab, Tao Tu, Wei-Hung Weng, Ryutaro Tanno, David Stutz, Ellery Wulczyn, Fan Zhang, Tim Strother, Chunjong Park, Elahe Vedadi, Juanma Zambrano Chaves, Szu-Yeu Hu, Mike Schaekermann, Aishwarya Kamath, Yong Cheng, David G. T. Barrett, Cathy Cheung, Basil Mustafa, Anil Palepu, Daniel McDuff, Le Hou, Tomer Golany, Luyang Liu, Jean-Baptiste Alayrac, Neil Houlsby, Nenad Tomasev, Jan Freyberg, Charles Lau, Jonas Kemp, Jeremy Lai, Shekoofeh Azizi, Kimberly Kanada, SiWai Man, Kavita Kulkarni, Ruoxi Sun, Siamak Shakeri, Luheng He, Benjamin Caine, Albert Webson, Natasha Latysheva, Melvin Johnson, Philip Andrew Mansfield, Jian Lu, Ehud Rivlin, Jesper Anderson, Bradley Green, Renee Wong, Jonathan Krause, Jonathon Shlens, Ewa Dominowska, S. M. Ali Eslami, Katherine Chou, Claire Cui, Oriol Vinyals, Koray Kavukcuoglu, James Manyika, Jeff Dean, Demis Hassabis, Yossi Matias, Dale R. Webster, Joelle K. Barral, Greg Corrado, Christopher Semturs, S. Sara Mahdavi, Juraj Gottweis, Alan Karthikesalingam, Vivek Natarajan

CoRR, 2024

2020

U-Net Using Stacked Dilated Convolutions for Medical Image Segmentation.

Shuhang Wang, Szu-Yeu Hu, Eugene Cheah, Xiaohong Wang, Jingchao Wang, Lei Chen, Masoud Baikpour, Arinc Ozturk, Qian Li, Shinn-Huey Chou, Constance D. Lehman, Viksit Kumar, Anthony E. Samir

CoRR, 2020

Weakly Supervised Context Encoder using DICOM metadata in Ultrasound Imaging.

Szu-Yeu Hu, Shuhang Wang, Wei-Hung Weng, Jingchao Wang, Xiaohong Wang, Arinc Ozturk, Qian Li, Viksit Kumar, Anthony E. Samir

CoRR, 2020

Self-Supervised Pretraining with DICOM metadata in Ultrasound Imaging.

Szu-Yeu Hu, Shuhang Wang, Wei-Hung Weng, Jingchao Wang, Xiaohong Wang, Arinc Ozturk, Quan Li, Viksit Kumar, Anthony E. Samir

Proceedings of the Machine Learning for Healthcare Conference, 2020

2019

Multimodal Volume-Aware Detection and Segmentation for Brain Metastases Radiosurgery.

Szu-Yeu Hu, Wei-Hung Weng, Shao-Lun Lu, Yueh-Hung Cheng, Furen Xiao, Feng-Ming Hsu, Jen-Tang Lu

Proceedings of the Artificial Intelligence in Radiation Therapy, 2019

Deep Learning-Based Automatic Endometrium Segmentation and Thickness Measurement for 2D Transvaginal Ultrasound.

Szu-Yeu Hu, Hong Xu, Qian Li, Brian A. Telfer, Laura J. Brattain, Anthony E. Samir

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Deep feature transfer between localization and segmentation tasks.

Szu-Yeu Hu, Andrew Beers, Ken Chang, Kathi Höbel, J. Peter Campbell, Deniz Erdogmus, Stratis Ioannidis, Jennifer G. Dy, Michael F. Chiang, Jayashree Kalpathy-Cramer, James M. Brown

CoRR, 2018