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20242026
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eess.IV2024

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

Retinal IPA: Iterative KeyPoints Alignment for Multimodal Retinal Imaging

Jiacheng Wang, Hao Li, Dewei Hu +4

We propose a novel framework for retinal feature point alignment, designed for learning cross-modality features to enhance matching and registration across multi-modality retinal i…

eess.IV2024

Novel OCT mosaicking pipeline with Feature- and Pixel-based registration

Jiacheng Wang, Hao Li, Dewei Hu +2

High-resolution Optical Coherence Tomography (OCT) images are crucial for ophthalmology studies but are limited by their relatively narrow field of view (FoV). Image mosaicking is…

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…

eess.IV2024

CATS v2: Hybrid encoders for robust medical segmentation

Hao Li, Han Liu, Dewei Hu +3

Convolutional Neural Networks (CNNs) have exhibited strong performance in medical image segmentation tasks by capturing high-level (local) information, such as edges and textures.…