CRUCIANI, Federico
CRUCIANI, Federico
CHIMICA
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AI-Driven Pathomics for Predicting Chemotherapy Response in Metastatic Colorectal Cancer: A Transfer Learning Approach with Attention-Based Multiple Instance Learning
2025-01-01 Cruciani F.; Nicoletti G.; Cafaro D.; Mauri G.; Lazzari L.; Aquilano M.C.; Regge D.; Marsoni S.; Giannini V.
Stain normalization matters: impact on feature relevance and classifier performance in mCRC therapy response prediction
2025-01-01 Nicoletti G.; Cafaro D.; Cruciani F.; Mauri G.; Lazzari L.; Marsoni S.; Regge D.; Giannini V.
Synthesis and characterization of transparent phenothiazine-based polymers via buchwald-hartwig polymerization as promising functional organic materials
2024-01-01 M. M.H. Desoky; Federico Cruciani; Pierluigi Quagliotto; Guido Viscardi
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| AI-Driven Pathomics for Predicting Chemotherapy Response in Metastatic Colorectal Cancer: A Transfer Learning Approach with Attention-Based Multiple Instance Learning | 2025 | Cruciani F.; Nicoletti G.; Cafaro D.; Mauri G.; Lazzari L.; Aquilano M.C.; Regge D.; Marsoni S.; Giannini V. | |
| Stain normalization matters: impact on feature relevance and classifier performance in mCRC therapy response prediction | 2025 | Nicoletti G.; Cafaro D.; Cruciani F.; Mauri G.; Lazzari L.; Marsoni S.; Regge D.; Giannini V. | |
| Synthesis and characterization of transparent phenothiazine-based polymers via buchwald-hartwig polymerization as promising functional organic materials | 2024 | M. M.H. Desoky; Federico Cruciani; Pierluigi Quagliotto; Guido Viscardi |