Duke Surgery Research Central: an open-source Web application for the improvement of compliance with research regulation. - Ricardo Pietrobon; Anand Shah; Paul Kuo; Matthew Harker; Mariana McCready; Christeen Butler; Henrique Martins; C. T. Moorman; Danny O. Jacobs (BMC Medical Informatics Decis. Mak., 2006)

DADOS-Survey: an open-source application for CHERRIES-compliant Web surveys. - Anand Shah; Danny O. Jacobs; Henrique Martins; Matthew Harker; Andreia Menezes; Mariana McCready; Ricardo Pietrobon (BMC Medical Informatics Decis. Mak., 2006)

DADOS-Prospective: an open source application for Web-based prospective data collection. - Lam Nguyen; Anand Shah; Matthew Harker; Henrique Martins; Mariana McCready; Andreia Menezes; Danny O. Jacobs; Ricardo Pietrobon (Source Code Biol. Medicine, 2006)

Reenginering Clinical Research Teams: An Organizational Modeling Approach. - Elias Cesar Araujo De Carvalho; Jatin Shah; Anand Shah; Aleksandro Montanha; Ricardo Pietrobon (BMEI (1), 2008)

Valuing data security and privacy using cyber insurance. - Anand Shah; Shishir Dahake; Sri Hari Haran J. (SIGCAS Comput. Soc., 2015)

SAPSAM - Sparsely Annotated Pathological Sign Activation Maps - A Novel Approach To Train Convolutional Neural Networks On Lung CT Scans Using Binary Labels Only. - Mario Zusag; Sujal R. Desai; Marcello Di Paolo; Thomas Semple; Anand Shah; Elsa D. Angelini (ISBI, 2019)

Advancing digital health: FDA innovation during COVID-19. - Kushal Kadakia; Bakul Patel; Anand Shah (npj Digit. Medicine, 2020)

3d Pathological Signs Detection And Scoring On CPA CT Lung Scans. - Afonso Nunes; Sujal R. Desai; Thomas Semple; Anand Shah; Elsa D. Angelini (ISBI, 2021)

M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization. - Che Liu; Sibo Cheng; Chen Chen 042; Mengyun Qiao; Weitong Zhang; Anand Shah; Wenjia Bai; Rossella Arcucci (MICCAI (1), 2023)

Utilizing Synthetic Data for Medical Vision-Language Pre-training: Bypassing the Need for Real Images. - Che Liu; Anand Shah; Wenjia Bai; Rossella Arcucci (CoRR, 2023)

T3D: Towards 3D Medical Image Understanding through Vision-Language Pre-training. - Che Liu; Cheng Ouyang; Yinda Chen; César Quilodrán Casas; Lei Ma 008; Jie Fu 001; Yike Guo; Anand Shah; Wenjia Bai; Rossella Arcucci (CoRR, 2023)

Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement. - Che Liu; Zhongwei Wan; Cheng Ouyang; Anand Shah; Wenjia Bai; Rossella Arcucci (ICML, 2024)

G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training. - Che Liu; Cheng Ouyang; Sibo Cheng; Anand Shah; Wenjia Bai; Rossella Arcucci (NeurIPS, 2024)

SHAP-Prioritised Machine Learning for Diagnostic-Grade Prediction of Lung Function. - Oliver Pitts; Salman Siddiqui; Anand Shah; Alex Bell; Christopher Brightling; David Singh; Janwillem Kocks; Leonardo Fabbri; Alberto Papi; Klaus Rabe; Maarten Van Den Berge; Monica Kraft; et al. (ICCS (Workshops 4), 2025)

IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-Training. - Che Liu; Sibo Cheng; Miaojing Shi; Anand Shah; Wenjia Bai; Rossella Arcucci (IEEE Trans. Medical Imaging, 2025)

Learning from Synthetic Labs: Language Models as Auction Participants. - Anand Shah; Kehang Zhu; Yanchen Jiang; Jeffrey G. Wang; Arif Kerem Dayi; John J. Horton; David C. Parkes (CoRR, 2025)