4 citations · 6 across the 7 of their papers we have counts for
4 papers · 1 filter
Unsupervised Anomaly Detection in Brain MRI via Disentangled Anatomy Learning
Tao Yang, Xiuying Wang, Hao Liu +4
Detection of various lesions in brain MRI is clinically critical, but challenging due to the diversity of lesions and variability in imaging conditions. Current unsupervised learni…
Intergrated Segmentation and Detection Models for Dentex Challenge 2023
Lanshan He, Yusheng Liu, Lisheng Wang
Dental panoramic x-rays are commonly used in dental diagnosing. With the development of deep learning, auto detection of diseases from dental panoramic x-rays can help dentists to…
Inferior Alveolar Nerve Segmentation in CBCT images using Connectivity-Based Selective Re-training
Yusheng Liu, Rui Xin, Tao Yang +1
Inferior Alveolar Nerve (IAN) canal detection in CBCT is an important step in many dental and maxillofacial surgery applications to prevent irreversible damage to the nerve during…
Exploring Visual Prompts for Whole Slide Image Classification with Multiple Instance Learning
Yi Lin, Zhongchen Zhao, Zhengjie ZHU +3
Multiple instance learning (MIL) has emerged as a popular method for classifying histopathology whole slide images (WSIs). However, existing approaches typically rely on pre-traine…