1 citations · 1 across the 3 of their papers we have counts for
3 papers
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…
q-bio.QM2024★ 1 cited
Morphological Profiling for Drug Discovery in the Era of Deep Learning
Qiaosi Tang, Ranjala Ratnayake, Gustavo Seabra +9
Morphological profiling is a valuable tool in phenotypic drug discovery. The advent of high-throughput automated imaging has enabled the capturing of a wide range of morphological…