5 citations · 13 across the 9 of their papers we have counts for
9 papers
Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer Detection
Alex Ling Yu Hung, Haoxin Zheng, Kai Zhao +3
Current deep learning-based models typically analyze medical images in either 2D or 3D albeit disregarding volumetric information or suffering sub-optimal performance due to the an…
Dominant Shuffle: A Simple Yet Powerful Data Augmentation for Time-series Prediction
Kai Zhao, Zuojie He, Alex Hung +1
Recent studies have suggested frequency-domain Data augmentation (DA) is effec tive for time series prediction. Existing frequency-domain augmentations disturb the original data wi…
CSAM: A 2.5D Cross-Slice Attention Module for Anisotropic Volumetric Medical Image Segmentation
Alex Ling Yu Hung, Haoxin Zheng, Kai Zhao +6
A large portion of volumetric medical data, especially magnetic resonance imaging (MRI) data, is anisotropic, as the through-plane resolution is typically much lower than the in-pl…
PartDiff: Image Super-resolution with Partial Diffusion Models
Kai Zhao, Alex Ling Yu Hung, Kaifeng Pang +2
Denoising diffusion probabilistic models (DDPMs) have achieved impressive performance on various image generation tasks, including image super-resolution. By learning to reverse th…
CAT-Net: A Cross-Slice Attention Transformer Model for Prostate Zonal Segmentation in MRI
Alex Ling Yu Hung, Haoxin Zheng, Qi Miao +3
Prostate cancer is the second leading cause of cancer death among men in the United States. The diagnosis of prostate MRI often relies on the accurate prostate zonal segmentation.…
The Role of Pleura and Adipose in Lung Ultrasound AI
Gautam Rajendrakumar Gare, Wanwen Chen, Alex Ling Yu Hung +8
In this paper, we study the significance of the pleura and adipose tissue in lung ultrasound AI analysis. We highlight their more prominent appearance when using high-frequency lin…
Good and Bad Boundaries in Ultrasound Compounding: Preserving Anatomic Boundaries While Suppressing Artifacts
Alex Ling Yu Hung, John Galeotti
Ultrasound 3D compounding is important for volumetric reconstruction, but as of yet there is no consensus on best practices for compounding. Ultrasound images depend on probe direc…
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 Galeotti
Ultrasound image quality has continually been improving. However, when needles or other metallic objects are operating inside the tissue, the resulting reverberation artifacts can…
Ultrasound Confidence Maps of Intensity and Structure Based on Directed Acyclic Graphs and Artifact Models
Alex Ling Yu Hung, Wanwen Chen, John Galeotti
Ultrasound imaging has been improving, but continues to suffer from inherent artifacts that are challenging to model, such as attenuation, shadowing, diffraction, speckle, etc. The…