most citedGASA-UNet: Global Axial Self-Attention U-Net for 3D Medical Image Segmentation

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cs.CV2026

OphMAE: Bridging Volumetric and Planar Imaging with a Foundation Model for Adaptive Ophthalmological Diagnosis

Tienyu Chang, Zhen Chen, Renjie Liang +9

The advent of foundation models has heralded a new era in medical artificial intelligence (AI), enabling the extraction of generalizable representations from large-scale unlabeled…

cs.CV2026

SAIL: Structure-Aware Interpretable Learning for Anatomy-Aligned Post-hoc Explanations in OCT

Tienyu Chang, Tianhao Li, Ruogu Fang +2

Optical coherence tomography (OCT), a commonly used retinal imaging modality, plays a central role in retinal disease diagnosis by providing high-resolution visualization of retina…

cs.CV2026

DTC: A Deformable Transposed Convolution Module for Medical Image Segmentation

Chengkun Sun, Jinqian Pan, Renjie Liang +4

In medical image segmentation, particularly in UNet-like architectures, upsampling is primarily used to transform smaller feature maps into larger ones, enabling feature fusion bet…

cs.CV2024

BGDB: Bernoulli-Gaussian Decision Block with Improved Denoising Diffusion Probabilistic Models

Chengkun Sun, Jinqian Pan, Russell Stevens Terry +2

Generative models can enhance discriminative classifiers by constructing complex feature spaces, thereby improving performance on intricate datasets. Conventional methods typically…

cs.CV2024

Beyond Skip Connection: Pooling and Unpooling Design for Elimination Singularities

Chengkun Sun, Jinqian Pan, Zhuoli Jin +3

Training deep Convolutional Neural Networks (CNNs) presents unique challenges, including the pervasive issue of elimination singularities, consistent deactivation of nodes leading…