Alex Ling Yu Hung

According to our database, Alex Ling Yu Hung authored at least 22 papers between 2020 and 2026.

Collaborative distances:

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

2026

SynSAM: a hybrid synchronous learning framework with knowledge retention for prostate zonal segmentation leveraging the segment anything model.

Chetana Krishnan, Ezinwanne Onuoha, Alex Ling Yu Hung, Kyung Hyun Sung, Harrison Kim

Medical Biol. Eng. Comput., April, 2026

PCa-Mamba: Spatiotemporal state space models for prostate cancer detection in multi-parametric MRI.

Kai Zhao, Alex Ling Yu Hung, Kaifeng Pang, Parsa Hajipour, Holden H. Wu, Steven S. Raman, Kyunghyun Sung

Medical Image Anal., 2026

AICM: An Anatomical-Prior Integrated Conditional Consistency Model for Self-Supervised MRI Through-Plane Super-Resolution.

Kaifeng Pang, Qi Miao, Alex Ling Yu Hung, Changsuk Oh, Kai Zhao, Qiudi He, Marcel Dominik Nickel, Fei Han, Kyunghyun Sung

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

CoDe: A Self-Supervised Consistency Model Framework for MRI Denoising.

Junying Li, Qingyang Hou, Kaifeng Pang, Qi Miao, Alex Ling Yu Hung, Elif Aygun, Shu-Fu Shih, Qing Dai, Holden H. Wu, Kyunghyun Sung

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

HiMaC: Histogram-Driven and Mask-Aware Consistency Models for MRI Reconstruction.

Qiudi He, Kai Zhao, Kaifeng Pang, Qi Miao, Sanghyeok Lim, Changsuk Oh, Alex Ling Yu Hung, Kyunghyun Sung

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

2025

PoRe: Position-Reweighted Visual Token Pruning for Vision Language Models.

Kai Zhao, Wubang Yuan, Alex Ling Yu Hung, Dan Zeng

CoRR, August, 2025

MRI Super-Resolution With Partial Diffusion Models.

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

IEEE Trans. Medical Imaging, March, 2025

NExpR: Neural Explicit Representation for fast arbitrary-scale medical image super-resolution.

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

Comput. Biol. Medicine, 2025

MPR-Diff: A Self-Supervised Diffusion Model for Multi-Planar Reformation in Prostate Micro-Ultrasound Imaging.

Kaifeng Pang, Qi Miao, Alex Ling Yu Hung, Kai Zhao, Eunsun Oh, Raymi Ramirez, Wayne Brisbane, Kyunghyun Sung

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

Minimally User-Guided 3D Micro-Ultrasound Prostate Segmentation.

Alex Ling Yu Hung, Kai Zhao, Kaifeng Pang, Qi Miao, Zhaozhi Wang, Wayne Brisbane, Demetri Terzopoulos, Kyunghyun Sung

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

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