Alex Ling Yu Hung

According to our database, Alex Ling Yu Hung authored at least 12 papers between 2020 and 2024.

Collaborative distances:

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

2024

Dominant Shuffle: A Simple Yet Powerful Data Augmentation for Time-series Prediction.

Kai Zhao, Zuojie He, Alex Ling Yu Hung, Dan Zeng

CoRR, 2024

CSAM: A 2.5D Cross-Slice Attention Module for Anisotropic Volumetric Medical Image Segmentation.

Alex Ling Yu Hung, Haoxin Zheng, Kai Zhao, Xiaoxi Du, Kaifeng Pang, Qi Miao, Steven S. Raman, Demetri Terzopoulos, Kyunghyun Sung

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

Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer Detection.

Alex Ling Yu Hung, Haoxin Zheng, Kai Zhao, Kaifeng Pang, Demetri Terzopoulos, Kyunghyun Sung

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

CAT-Net: A Cross-Slice Attention Transformer Model for Prostate Zonal Segmentation in MRI.

Alex Ling Yu Hung, Haoxin Zheng, Qi Miao, Steven S. Raman, Demetri Terzopoulos, Kyung Hyun Sung

IEEE Trans. Medical Imaging, 2023

PartDiff: Image Super-resolution with Partial Diffusion Models.

Kai Zhao, Alex Ling Yu Hung, Kaifeng Pang, Haoxin Zheng, Kyunghyun Sung

CoRR, 2023

2021

Good and bad boundaries in ultrasound compounding: preserving anatomic boundaries while suppressing artifacts.

Alex Ling Yu Hung, John M. Galeotti

Int. J. Comput. Assist. Radiol. Surg., 2021

Hierarchical Probabilistic Ultrasound Image Inpainting via Variational Inference.

Alex Ling Yu Hung, Zhiqing Sun, Wanwen Chen, John M. Galeotti

Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

Ultrasound Variational Style Transfer to Generate Images Beyond the Observed Domain.

Alex Ling Yu Hung, John M. Galeotti

Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

Ultrasound Confidence Maps Of Intensity And Structure Based On Directed Acyclic Graphs And Artifact Models.

Alex Ling Yu Hung, Wanwen Chen, John M. Galeotti

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

The Role of Pleura and Adipose in Lung Ultrasound AI.

Gautam Rajendrakumar Gare, Wanwen Chen, Alex Ling Yu Hung, Edward Chen, Hai V. Tran, Tom Fox, Peter Lowery, Kevin Zamora, Bennett P. deBoisblanc, Ricardo Luis Rodriguez, John Michael Galeotti

Proceedings of the Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning, 2021

2020

Weakly- and Semi-Supervised Probabilistic Segmentation and Quantification of Ultrasound Needle-Reverberation Artifacts to Allow Better AI Understanding of Tissue Beneath Needles.

Alex Ling Yu Hung, Edward Chen, John M. Galeotti

CoRR, 2020

3D Mapping of TAU Neurofibrillary Tangle Pathology in the Human Medial Temporal Lobe.

Paul A. Yushkevich, Maria Mercedes Iñiguez de Onzoño Martin, Ranjit Ittyerah, Sydney Lim, Madigan Lavery, Jiancong Wang, Alex Ling Yu Hung, Nicolas Vergnet, Sadhana Ravikumar, Long Xie, Mengjin Dong, Robin DeFlores, Salena Cui, Lauren McCollum, Daniel T. Ohm, John L. Robinson, Theresa Schuck, Murray Grossman, M. Dylan Tisdall, Karthik Prabhakaran, Gabor Mizsei, Sandhitsu R. Das, Emilio Artacho-Pérula, María del Mar Arroyo Jiménez, Mónica Muñoz López, Maria del Pilar Marcos Rabal, Francisco Javier Molina Romero, Edward B. Lee, John Q. Trojanowski, Laura E. M. Wisse, David A. Wolk, David J. Irwin, Ricardo Insausti

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020