7 citations · 24 across the 15 of their papers we have counts for
7 papers
Progressive Content-aware Coded Hyperspectral Compressive Imaging
Xuanyu Zhang, Bin Chen, Wenzhen Zou +4
Hyperspectral imaging plays a pivotal role in a wide range of applications, like remote sensing, medicine, and cytology. By acquiring 3D hyperspectral images (HSIs) via 2D sensors,…
AugDiff: Diffusion based Feature Augmentation for Multiple Instance Learning in Whole Slide Image
Zhuchen Shao, Liuxi Dai, Yifeng Wang +2
Multiple Instance Learning (MIL), a powerful strategy for weakly supervised learning, is able to perform various prediction tasks on gigapixel Whole Slide Images (WSIs). However, t…
Multi tasks RetinaNet for mitosis detection
Chen Yang, Wang Ziyue, Fang Zijie +2
The account of mitotic cells is a key feature in tumor diagnosis. However, due to the variability of mitotic cell morphology, it is a highly challenging task to detect mitotic cell…
Neuro-Symbolic Learning: Principles and Applications in Ophthalmology
Muhammad Hassan, Haifei Guan, Aikaterini Melliou +24
Neural networks have been rapidly expanding in recent years, with novel strategies and applications. However, challenges such as interpretability, explainability, robustness, safet…
Multiple Instance Learning with Mixed Supervision in Gleason Grading
Hao Bian, Zhuchen Shao, Yang Chen +4
With the development of computational pathology, deep learning methods for Gleason grading through whole slide images (WSIs) have excellent prospects. Since the size of WSIs is ext…
HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging
Xuanyu Zhang, Yongbing Zhang, Ruiqin Xiong +2
Hyperspectral imaging is an essential imaging modality for a wide range of applications, especially in remote sensing, agriculture, and medicine. Inspired by existing hyperspectral…