angiography 1architected materials 1benchmark challenge 1circle of willis segmentation 1deep learning 1geometric quantification 1habitable zone 1helium escape 1inverse design 1knitted fabrics 1low-rank approximation 1matrix denoising 1
From the 4 of 50 papers with an AI index.
47 citations
- Massachusetts Institute of TechnologyUS7 papers
- University of ChicagoUS7 papers
- Harvard University PressUS6 papers
- California Institute of TechnologyUS5 papers
- Brigham and Women's HospitalUS4 papers
- Center for Astrophysics Harvard & SmithsonianUS4 papers
- Duke UniversityUS3 papers
- Imperial College LondonGB3 papers
- Peking UniversityCN3 papers
- Planetary Science InstituteUS3 papers
- University of California, BerkeleyUS3 papers
- University of California, Santa BarbaraUS3 papers
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cs.CV2026
UniMod: Enhancing Multi-Modal Medical Diagnosis through Cross-Modality and Within-Modality Alignment
Zijian Gu, Weikai Lin, Shuang Zhou +2
Multi-modal learning combining medical images and clinical text is promising for disease diagnosis. However, standard multi-modal training leads to shortcut learning: models exploi…
cs.CV2026★ 12 cited
The TopCoW Challenge -- Topology-Aware Circle of Willis Segmentation for CT and MR Angiography
Kaiyuan Yang, Fabio Musio, Yihui Ma +112
The paper introduces the TopCoW Challenge, a benchmark for automatically segmenting the Circle of Willis in CT and MR angiography using deep learning, and provides a new annotated…