activity
20232026
most citedLKM-UNet: Large Kernel Vision Mamba UNet for Medical Image Segmentation

5 citations · 7 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CE2026

A Scale-adaptive Vision Model Links C. elegans Neuronal Morphology to Behavior for Neurotoxicity Assessment

Haochao Ying, Shenchong Lv, Yutao Sun +8

Neurological disorders are a leading cause of global disability and are increasingly linked to environmental chemical exposures. Yet neurotoxicity assessment still relies on hand-s…

cs.CV2024

Multi-rater Prompting for Ambiguous Medical Image Segmentation

Jinhong Wang, Yi Cheng, Jintai Chen +3

Multi-rater annotations commonly occur when medical images are independently annotated by multiple experts (raters). In this paper, we tackle two challenges arisen in multi-rater a…

cs.CV2024★ 1 cited

PoCo: A Self-Supervised Approach via Polar Transformation Based Progressive Contrastive Learning for Ophthalmic Disease Diagnosis

Jinhong Wang, Tingting Chen, Jintai Chen +5

Automatic ophthalmic disease diagnosis on fundus images is important in clinical practice. However, due to complex fundus textures and limited annotated data, developing an effecti…

cs.LG2024★ 1 cited

Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning

Yi Cheng, Renjun Hu, Haochao Ying +3

Until recently, the question of the effective inductive bias of deep models on tabular data has remained unanswered. This paper investigates the hypothesis that arithmetic feature…

cs.CV2024★ 5 cited

LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image Segmentation

Jinhong Wang, Jintai Chen, Danny Chen +1

In clinical practice, medical image segmentation provides useful information on the contours and dimensions of target organs or tissues, facilitating improved diagnosis, analysis,…

cs.CV2023

Joint Explicit and Implicit Cross-Modal Interaction Network for Anterior Chamber Inflammation Diagnosis

Qian Shao, Ye Dai, Haochao Ying +4

Uveitis demands the precise diagnosis of anterior chamber inflammation (ACI) for optimal treatment. However, current diagnostic methods only rely on a limited single-modal disease…