Giacomo Nebbia

According to our database, Giacomo Nebbia authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Synonym relations affect object detection learned on vision-language data.

Giacomo Nebbia, Adriana Kovashka

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 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, Stephen McNamara, J. Peter Campbell, Matthew D. Li, Jayashree Kalpathy-Cramer, Praveer Singh

Proceedings of the Ethics and Fairness in Medical Imaging, 2024

Image-caption difficulty for efficient weakly-supervised object detection from in-the-wild data.

Giacomo Nebbia, Adriana Kovashka

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Hypernymization of named entity-rich captions for grounding-based multi-modal pretraining.

Giacomo Nebbia, Adriana Kovashka

Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023

2022

Doubling down: sparse grounding with an additional, almost-matching caption for detection-oriented multimodal pretraining.

Giacomo Nebbia, Adriana Kovashka

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

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

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

2020

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

2019

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

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019