From the 1 of 13 linked papers with an AI index.
13 papers
ReCBM: Uncertainty-Gated Relational Reasoning for Concept Bottleneck Models
An Sui, Yuzhu Li, Fuping Wu +1
Concept Bottleneck Models (CBMs) provide an interpretable framework by grounding predictions in human-understandable concepts, enabling semantic inspection and test-time interventi…
A Self-Evolving Agent for Longitudinal Personal Health Management
Haoran Li, Jiebi Deng, Tong Jin +10
The paper presents HealthClaw, an open‑source AI agent that maintains and updates a personal health profile over time, improving answer accuracy and privacy compared to standard pr…
3D Consistency Optimization for Self-Supervised Monocular Video Depth Estimation
Yuanye Liu, Ke Zhang, Junzhe Jiang +3
Reliable monocular video depth estimation is crucial for downstream 3D reasoning and embodied AI in endoscopic navigation. However, existing self-supervised approaches typically tr…
Towards 3D heart mesh generation using contactless radar imaging and physics-informed neural network
Jinye Li, Chenxi Fu, Minghang Zheng +3
Cardiac function evaluation necessitates continuous, non-invasive monitoring, a capability limited in MRI. Millimeter-wave (mmWave) radar and its Synthetic Aperture Radar (SAR) mod…
Generalized Evidential Deep Learning: From a Bayesian Perspective
Yuanye Liu, Yibo Gao, Yuanyang Chen +1
Evidential Deep Learning (EDL) has emerged as an efficient, sampling-free strategy for uncertainty estimation. A series of EDL variants have been proposed to address specific limit…
How Far Has AI Come in Liver Fibrosis Staging? A Large-Scale Real-World Dataset and Benchmark
Yuanye Liu, Nannan Shi, Zhejia Zhang +20
Despite years of methodological progress, how far AI has come in liver fibrosis staging has never been systematically evaluated under the heterogeneous, multi-center conditions tha…