Deep learning of sub-regional breast parenchyma in mammograms for localized breast cancer risk prediction. - Giacomo Nebbia; Aly A. Mohamed; Ruimei Chai; Bingjie Zheng; Margarita L. Zuley; Shandong Wu (Computer-Aided Diagnosis, 2019)

Pre-operative Microvascular Invasion Prediction Using Multi-parametric Liver MRI Radiomics. - Giacomo Nebbia; Qian Zhang; Dooman Arefan; Xinxiang Zhao; Shandong Wu (J. Digit. Imaging, 2020)

Multi-task learning to incorporate clinical knowledge into deep learning for breast cancer diagnosis. - Giacomo Nebbia; Dooman Arefan; Margarita L. Zuley; Jules H. Sumkin; Shandong Wu (Computer-Aided Diagnosis, 2021)

Radiomics-Informed Deep Curriculum Learning for Breast Cancer Diagnosis. - Giacomo Nebbia; Saba Dadsetan; Dooman Arefan; Margarita L. Zuley; Jules H. Sumkin; Heng Huang; Shandong Wu (MICCAI (5), 2021)

Doubling down: sparse grounding with an additional, almost-matching caption for detection-oriented multimodal pretraining. - Giacomo Nebbia; Adriana Kovashka (CVPR Workshops, 2022)

Hypernymization of named entity-rich captions for grounding-based multi-modal pretraining. - Giacomo Nebbia; Adriana Kovashka (ICMR, 2023)

Image-caption difficulty for efficient weakly-supervised object detection from in-the-wild data. - Giacomo Nebbia; Adriana Kovashka (CVPR Workshops, 2024)

Cycle-GANs Generated Difference Maps to Interpret Race Prediction from Medical Images. - Lakshika Rathi; Giacomo Nebbia; Ken Chang; Sourav Kumar; Aarushi Gupta; Syed Rakin Ahmed; Jay B. Patel; Christopher Clark; Yoga Advaith Veturi; Aaron S. Coyner; Aakanksha Rana; Christopher P. Bridge; et al. (FAIMI/EPIMI@MICCAI, 2024)

Synonym relations affect object detection learned on vision-language data. - Giacomo Nebbia; Adriana Kovashka (NAACL-HLT (Findings), 2024)

Re-identification of patients from imaging features extracted by foundation models. - Giacomo Nebbia; Sourav Kumar; Stephen McNamara; Christopher P. Bridge; J. Peter Campbell; Michael F. Chiang; Naresh Mandava; Praveer Singh; Jayashree Kalpathy-Cramer (npj Digit. Medicine, 2025)