most citedDeep Learning-based Unsupervised Domain Adaptation via a Unified Model for Prostate Lesion Detection Using Multisite Bi-parametric MRI Datasets

7 citations · 8 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CV2026

VAMOS-OCTA: Vessel-Aware Multi-Axis Orthogonal Supervision for Inpainting Motion-Corrupted OCT Angiography Volumes

Nick DiSanto, Ehsan Khodapanah Aghdam, Han Liu +4

Handheld Optical Coherence Tomography Angiography (OCTA) enables noninvasive retinal imaging in uncooperative or pediatric subjects, but is highly susceptible to motion artifacts t…

cs.CV2026

IntraStyler: Intra-Domain Style Synthesis for Cross-Modality MRI Domain Adaptation

Han Liu, Yubo Fan, Hao Li +5

Segmentation of vestibular schwannoma and cochlea from T2 MRI is clinically important yet annotation-intensive. Domain adaptation (DA) has been widely adopted to bridge the gap bet…

cs.CV20241 cited

AdaptDiff: Cross-Modality Domain Adaptation via Weak Conditional Semantic Diffusion for Retinal Vessel Segmentation

Dewei Hu, Hao Li, Han Liu +4

Deep learning has shown remarkable performance in medical image segmentation. However, despite its promise, deep learning has many challenges in practice due to its inability to ef…

eess.IV20247 cited

Deep Learning-based Unsupervised Domain Adaptation via a Unified Model for Prostate Lesion Detection Using Multisite Bi-parametric MRI Datasets

Hao Li, Han Liu, Heinrich von Busch +16

Our hypothesis is that UDA using diffusion-weighted images, generated with a unified model, offers a promising and reliable strategy for enhancing the performance of supervised lea…

eess.IV2024

Predicting fluorescent labels in label-free microscopy images with pix2pix and adaptive loss in Light My Cells challenge

Han Liu, Hao Li, Jiacheng Wang +3

Fluorescence labeling is the standard approach to reveal cellular structures and other subcellular constituents for microscopy images. However, this invasive procedure may perturb…

cs.CV2024

PRISM: A Promptable and Robust Interactive Segmentation Model with Visual Prompts

Hao Li, Han Liu, Dewei Hu +2

In this paper, we present PRISM, a Promptable and Robust Interactive Segmentation Model, aiming for precise segmentation of 3D medical images. PRISM accepts various visual inputs,…