A Preliminary Approach for Creating a Semi-synthetic Multimodal Clinical Data Set from a Publicly Available Image Repository. - Shazia Ashfaq; Amilcare Gentili; Wendy Webber Chapman; Brian E. Chapman (AMIA, 2012)

ImageCLEF2018: Transfer Learning for Deep Learning with CNN for Tuberculosis Classification. - Amilcare Gentili (CLEF (Working Notes), 2018)

ImageCLEF2019: Tuberculosis - Severity Scoring and CT Report with Neural Networks, Transfer Learning and Ensembling. - Amilcare Gentili (CLEF (Working Notes), 2019)

ImageCLEF2019 Security - Forged File Discovery and Stego Image Discovery Tasks. - Amilcare Gentili; Paolo Gentili (CLEF (Working Notes), 2019)

ImageCLEF2020: Laterality-Reduction Three-Dimensional CBAM-Resnet with Balanced Sampler for Multi-Binary Classification of Tuberculosis and CT Auto Reports. - Xing Lu; Eric Y. Chang; Zhaohui Liu; Chun-Nan Hsu; Jiang Du; Amilcare Gentili (CLEF (Working Notes), 2020)

Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays. - Jianmo Ni; Chun-Nan Hsu; Amilcare Gentili; Julian J. McAuley (EMNLP (Findings), 2020)

Multi-Classification Study of the Tuberculosis with 3D CBAM-ResNet and EfficientNet. - Xing Lu; Eric Y. Chang; Chun-Nan Hsu; Jiang Du; Amilcare Gentili (CLEF (Working Notes), 2021)

Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation. - An Yan 003; Zexue He; Xing Lu; Jiang Du; Eric Y. Chang; Amilcare Gentili; Julian J. McAuley; Chun-Nan Hsu (EMNLP (Findings), 2021)

ImageCLEFmedical Caption Task, Concept Detection, Finding Duplicates, SDVA-UCSD Approach. - Amilcare Gentili (CLEF (Working Notes), 2022)

Semi-supervised Multi-Label Classification with 3D CBAM Resnet for Tuberculosis Cavern Report. - Xing Lu; An Yan 003; Eric Y. Chang; Chun-Nan Hsu; Julian J. McAuley; Jiang Du; Amilcare Gentili (CLEF (Working Notes), 2022)

"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion. - Zexue He; An Yan 003; Amilcare Gentili; Julian J. McAuley; Chun-Nan Hsu (AAAI, 2023)

MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation. - Zexue He; Yu Wang 170; An Yan 003; Yao Liu 017; Eric Y. Chang; Amilcare Gentili; Julian J. McAuley; Chun-Nan Hsu (EMNLP, 2023)

Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models. - An Yan 003; Yu Wang 170; Yiwu Zhong; Zexue He; Petros Karypis; Zihan Wang 001; Chengyu Dong; Amilcare Gentili; Chun-Nan Hsu; Jingbo Shang; Julian J. McAuley (CoRR, 2023)

Reproducibility of Deep Learning Algorithms Developed for Medical Imaging Analysis: A Systematic Review. - Mana Moassefi; Pouria Rouzrokh; Gian Marco Conte; Sanaz Vahdati; Tianyuan Fu; Aylin Tahmasebi; Mira Younis; Keyvan Farahani; Amilcare Gentili; Timothy Kline; Felipe C. Kitamura; Yuankai Huo; et al. (J. Imaging Inform. Medicine, 2023)

Detecting Training Data and Generative Model Fingerprints in Synthetic CT Scans Using Machine Learning. - Amilcare Gentili (CLEF (Working Notes), 2024)

Artificial Intelligence-Based Opportunistic Coronary Calcium Screening in the Veterans Affairs National Healthcare System. - Raffi Hagopian; Timothy Strebel; Simon Bernatz; Gregory A Myers; Erik Offerman; Erick Zúniga; Cy Y. Kim; Angie T. Ng; James A Iwaz; Sunny P. Singh; Evan P. Carey; Michael J. Kim; et al. (CoRR, 2024)