Kayhan Batmanghelich

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Papers (11)

1. Enhancing Fine-Grained Spatial Grounding in 3D CT Report Generation via Discriminative Guidance cs.CV · 2026 · author #5
2. Mammo-FM: Breast-specific foundational model for Integrated Mammographic Diagnosis, Prognosis, and Reporting cs.CV · 2025 · author #17
3. Robust Angular Local Descriptor Learning cs.CV · 2019 · author #4
4. Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge cs.CV · 2018 · author #53
5. Deep Diffeomorphic Normalizing Flows stat.ML · 2018 · author #4
6. Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping cs.CV · 2018 · author #4
7. Deep Ordinal Regression Network for Monocular Depth Estimation cs.CV · 2018 · author #4
8. Causal Generative Domain Adaptation Networks stat.ML · 2018 · author #6
9. Transfer Learning with Label Noise stat.ML · 2017 · author #5
10. Causal Discovery in the Presence of Measurement Error: Identifiability Conditions stat.ME · 2017 · author #4
11. Nonparametric Spherical Topic Modeling with Word Embeddings cs.CL · 2016 · author #1

Mentions

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Frequent Coauthors

• Mingming Gong 7 shared papers
• Dacheng Tao 5 shared papers
• Kun Zhang 5 shared papers
• Chaohui Wang 3 shared papers
• Huan Fu 3 shared papers
• Clark Glymour 2 shared papers
• Tongliang Liu 2 shared papers
• Weicheng Dai 2 shared papers
• Yanwu Xu 2 shared papers
• Aaron Avery 1 shared papers
• Aaron S. Jackson 1 shared papers
• Abhijit Amrutkar 1 shared papers
• Abhishek Mahajan 1 shared papers
• Abhishek Varshney 1 shared papers
• Adel Kermi 1 shared papers
• Adri\`a Casamitjana 1 shared papers
• Ahana Roy Choudhury 1 shared papers
• Aikaterini Kotrotsou 1 shared papers
• Ajeet Vivekanandan 1 shared papers
• Alain Jungo 1 shared papers