1 code implementation • 8 Nov 2023 • Alex Ling Yu Hung, Haoxin Zheng, Kai Zhao, Xiaoxi Du, Kaifeng Pang, Qi Miao, Steven S. Raman, Demetri Terzopoulos, Kyunghyun Sung
Both 3D and purely 2D deep learning-based segmentation methods are deficient in dealing with such volumetric data since the performance of 3D methods suffers when confronting anisotropic data, and 2D methods disregard crucial volumetric information.
no code implementations • 21 Jul 2023 • Kai Zhao, Alex Ling Yu Hung, Kaifeng Pang, Haoxin Zheng, Kyunghyun Sung
This observation inspired us to propose the Partial Diffusion Model (PartDiff), which diffuses the image to an intermediate latent state instead of pure random noise, where the intermediate latent state is approximated by the latent of diffusing the low-resolution image.
1 code implementation • 29 Mar 2022 • Alex Ling Yu Hung, Haoxin Zheng, Qi Miao, Steven S. Raman, Demetri Terzopoulos, Kyunghyun Sung
However, state-of-the-art automatic segmentation methods often fail to produce well-contained volumetric segmentation of the prostate zones since certain slices of prostate MRI, such as base and apex slices, are harder to segment than other slices.
no code implementations • 19 Jan 2022 • Gautam Rajendrakumar Gare, Wanwen Chen, Alex Ling Yu Hung, Edward Chen, Hai V. Tran, Tom Fox, Pete Lowery, Kevin Zamora, Bennett P deBoisblanc, Ricardo Luis Rodriguez, John Michael Galeotti
In this paper, we study the significance of the pleura and adipose tissue in lung ultrasound AI analysis.
no code implementations • 24 Nov 2020 • Alex Ling Yu Hung, John Galeotti
Ultrasound images depend on probe direction and the path sound waves pass through, so when multiple intersecting B-scans of the same spot from different perspectives yield different pixel values, there is not a single, ideal representation for compounding (i. e. combining) the overlapping pixel values.
no code implementations • 24 Nov 2020 • Alex Ling Yu Hung, Edward Chen, John Galeotti
Our method models the intensity decay of artifact intensities and is designed to minimize the human labeling error.
1 code implementation • 24 Nov 2020 • 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.