ArCo Group
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Handling-Missing-Modalities-in-Multimodal-Survival-Prediction-for-Non-Small-Cell-Lung-Cancer
Handling-Missing-Modalities-in-Multimodal-Survival-Prediction-for-Non-Small-Cell-Lung-Cancer PublicA missing-aware multimodal framework that fuses CT, Whole-Slide Histopathology, and clinical tabular data for survival prediction in unresectable stage II–III Non-Small Cell Lung Cancer (NSCLC) — w…
Python 2
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CheXInstruct-MedGemma-Foundation-Finetuning-Framework
CheXInstruct-MedGemma-Foundation-Finetuning-Framework PublicA sick project for sick people
Repositories
- ArcoLab_Website Public template Forked from danielemolino/ArcoLab_Website
Official website of the ArCo Lab at Università Campus Bio-Medico di Roma. Research in artificial intelligence, biomedical engineering, computer vision, and computational systems.
- SPARSE Public
- ndvi-forecasting Public
- ShoViR-Bench Public
A benchmark for evaluating whether vision-language models genuinely ground their diagnostic statements in visual evidence during chest X-ray report generation, rather than exploiting learned shortcuts that standard metrics reward but radiologists would not trust.
- BodySLAM Public
- triplet-networks-histology Public
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- radiopathomics-lung-cancer Public
- cnn-tumor-bbox-ln-prediction Public
- Handling-Missing-Modalities-in-Multimodal-Survival-Prediction-for-Non-Small-Cell-Lung-Cancer Public
A missing-aware multimodal framework that fuses CT, Whole-Slide Histopathology, and clinical tabular data for survival prediction in unresectable stage II–III Non-Small Cell Lung Cancer (NSCLC) — without dropping patients or imputing absent modalities.
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