15 citations · 51 across the 10 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.CV2023★ 4 cited
Correlation-Aware Mutual Learning for Semi-supervised Medical Image Segmentation
Shengbo Gao, Ziji Zhang, Jiechao Ma +2
Semi-supervised learning has become increasingly popular in medical image segmentation due to its ability to leverage large amounts of unlabeled data to extract additional informat…
cs.CV2023★ 11 cited
A Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics
Hong-Yu Zhou, Yizhou Yu, Chengdi Wang +7
During the diagnostic process, clinicians leverage multimodal information, such as chief complaints, medical images, and laboratory-test results. Deep-learning models for aiding di…
cs.CV2023★ 15 cited
ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding
Le Xue, Ning Yu, Shu Zhang +8
Recent advancements in multimodal pre-training have shown promising efficacy in 3D representation learning by aligning multimodal features across 3D shapes, their 2D counterparts,…