most citedRevisiting Adaptive Cellular Recognition Under Domain Shifts: A Contextual Correspondence View

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV2025

Stealthy Patch-Wise Backdoor Attack in 3D Point Cloud via Curvature Awareness

Yu Feng, Dingxin Zhang, Runkai Zhao +3

Backdoor attacks pose a severe threat to deep neural networks (DNNs) by implanting hidden backdoors that can be activated with predefined triggers to manipulate model behaviors mal…

cs.CV2025

MIRROR: Multi-Modal Pathological Self-Supervised Representation Learning via Modality Alignment and Retention

Tianyi Wang, Jianan Fan, Dingxin Zhang +4

Histopathology and transcriptomics are fundamental modalities in oncology, encapsulating the morphological and molecular aspects of the disease. Multi-modal self-supervised learnin…

eess.IV2024

Cell as Point: One-Stage Framework for Efficient Cell Tracking

Yaxuan Song, Jianan Fan, Heng Huang +2

Conventional multi-stage cell tracking approaches rely heavily on detection or segmentation in each frame as a prerequisite, requiring substantial resources for high-quality segmen…

q-bio.QM20241 cited

Revisiting Adaptive Cellular Recognition Under Domain Shifts: A Contextual Correspondence View

Jianan Fan, Dongnan Liu, Canran Li +5

Cellular nuclei recognition serves as a fundamental and essential step in the workflow of digital pathology. However, with disparate source organs and staining procedures among his…

cs.LG2024

Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling

Jianan Fan, Dongnan Liu, Hang Chang +3

Machine learning holds tremendous promise for transforming the fundamental practice of scientific discovery by virtue of its data-driven nature. With the ever-increasing stream of…