Yingda Xia

Alibaba Group (Cayman Islands) — KY

Computer Science · Physical Sciences

20h-index3.0kcitations64works2.82yr avg
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Research Topics

Advanced Neural Network Applications(30), Radiomics and Machine Learning in Medical Imaging(29), AI in cancer detection(21), Medical Image Segmentation Techniques(17), Pancreatic and Hepatic Oncology Research(11)

Publications64 total

OmniCT: Towards a Unified Slice-Volume LVLM for Comprehensive CT Analysis
ArXiv.org·2026Open Access
OmniCT: Towards a Unified Slice-Volume LVLM for Comprehensive CT Analysis
arXiv (Cornell University)·2026Open Access
Multi-modal AI for opportunistic screening, staging and progression risk stratification of steatotic liver disease
Nature Communications·2026Open Access
Gastric Neoplasm Detection at Contrast-enhanced CT with Deep Learning
Radiology Artificial Intelligence·2025
AI-based large-scale screening of gastric cancer from noncontrast CT imaging
Nature Medicine·2025· 11 citedOpen Access
Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation
arXiv (Cornell University)·2024Open Access
RevSAM2: Prompt SAM2 for Medical Image Segmentation via Reverse-Propagation without Fine-tuning
arXiv (Cornell University)·2024Open Access
Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-Ray Expert Models
2024· 9 cited
Boosting Medical Image-based Cancer Detection via Text-guided Supervision from Reports
arXiv (Cornell University)·2024· 1 citedOpen Access
A Colorectal Coordinate-Driven Method for Colorectum and Colorectal Cancer Segmentation in Conventional CT Scans
IEEE Transactions on Neural Networks and Learning Systems·2024· 12 cited
CT-GLIP: 3D Grounded Language-Image Pretraining with CT Scans and Radiology Reports for Full-Body Scenarios
arXiv (Cornell University)·2024· 3 citedOpen Access
Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-ray Expert Models
arXiv (Cornell University)·2024Open Access
Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation
Lecture notes in computer science·2024· 1 cited
Large-scale pancreatic cancer detection via non-contrast CT and deep learning
Nature Medicine·2023· 263 citedOpen Access
Deformable Medical Image Registration Under Distribution Shifts with Neural Instance Optimization
Lecture notes in computer science·2023· 3 cited
CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans
2023· 17 cited
Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer
arXiv (Cornell University)·2023· 1 citedOpen Access
Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network
arXiv (Cornell University)·2023· 1 citedOpen Access
Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans
arXiv (Cornell University)·2023· 1 citedOpen Access
Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization
2023· 27 cited
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Frequent Co-authors

Alan Yuille(29), Le Lü(18), Jiawen Yao(17), Elliot K. Fishman(16), Ling Zhang(15), Fengze Liu(14), Wei Shen(13), Zhuotun Zhu(13), Lingxi Xie(12), Zaiyi Liu(9), Yu Shi(9), Qihang Yu(9), Jingren Zhou(9), Daguang Xu(8), Dong Yang(6), Yuyin Zhou(6), Mingyan Qiu(5), Mingze Yuan(5), Xiaoli Yin(5), Holger R. Roth(4)