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ORCIDGiacomo Nebbia
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2020 – today
- 2024
[c8]Giacomo Nebbia, Adriana Kovashka:
Image-caption difficulty for efficient weakly-supervised object detection from in-the-wild data. CVPR Workshops 2024: 2596-2605- [c7]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:
Cycle-GANs Generated Difference Maps to Interpret Race Prediction from Medical Images. FAIMI/EPIMI@MICCAI 2024: 129-139 - [c6]Giacomo Nebbia, Adriana Kovashka:
Synonym relations affect object detection learned on vision-language data. NAACL-HLT (Findings) 2024: 3770-3776 - 2023
- [c5]Giacomo Nebbia, Adriana Kovashka:
Hypernymization of named entity-rich captions for grounding-based multi-modal pretraining. ICMR 2023: 67-75 - [i1]Giacomo Nebbia, Adriana Kovashka:
Hypernymization of named entity-rich captions for grounding-based multi-modal pretraining. CoRR abs/2304.13130 (2023) - 2022
- [c4]Giacomo Nebbia, Adriana Kovashka:
Doubling down: sparse grounding with an additional, almost-matching caption for detection-oriented multimodal pretraining. CVPR Workshops 2022: 4641-4650 - 2021
- [c3]Giacomo Nebbia, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu:
Multi-task learning to incorporate clinical knowledge into deep learning for breast cancer diagnosis. Computer-Aided Diagnosis 2021 - [c2]Giacomo Nebbia, Saba Dadsetan, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Heng Huang, Shandong Wu:
Radiomics-Informed Deep Curriculum Learning for Breast Cancer Diagnosis. MICCAI (5) 2021: 634-643 - 2020
- [j1]Giacomo Nebbia, Qian Zhang, Dooman Arefan, Xinxiang Zhao, Shandong Wu:
Pre-operative Microvascular Invasion Prediction Using Multi-parametric Liver MRI Radiomics. J. Digit. Imaging 33(6): 1376-1386 (2020)
2010 – 2019
- 2019
- [c1]Giacomo Nebbia, Aly A. Mohamed, Ruimei Chai, Bingjie Zheng, Margarita L. Zuley, Shandong Wu:
Deep learning of sub-regional breast parenchyma in mammograms for localized breast cancer risk prediction. Computer-Aided Diagnosis 2019: 109502P
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