PASTORE, EMMANUEL PIO
PASTORE, EMMANUEL PIO
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Deep learning for maxillary sinus pathology: ensure patient-level splits and leakage-free evaluation
2025-01-01 De Rango, Francesco; Pastore, Emmanuel Pio
Foundation and Multimodal Models for Drug Discovery in Molecular Informatics: Principles, Evaluation, and Practical Guidance
2026-01-01 Pastore, Emmanuel Pio; De Rango, Francesco
From Synthetic Faces to Useful Triage in Dysmorphology-Calibration, Transport, and Action Links
2026-01-01 De Rango, Francesco; Pastore, Emmanuel Pio
Making liquid-biopsy predictions usable in SCLC—calibration, transfer, and action-linked thresholds
2025-01-01 De Rango, Francesco; Pastore, Emmanuel Pio
Sepsis mortality prediction in ICU: align time zero and prevent leakage
2025-01-01 De Rango, Francesco; Pastore, Emmanuel Pio
Stroke risk nomograms from machine learning need clearer calibration and transportability assessment
2026-01-01 De Rango, Francesco; Pastore, Emmanuel Pio
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Deep learning for maxillary sinus pathology: ensure patient-level splits and leakage-free evaluation | 1-gen-2025 | De Rango, Francesco; Pastore, Emmanuel Pio | |
| Foundation and Multimodal Models for Drug Discovery in Molecular Informatics: Principles, Evaluation, and Practical Guidance | 1-gen-2026 | Pastore, Emmanuel Pio; De Rango, Francesco | |
| From Synthetic Faces to Useful Triage in Dysmorphology-Calibration, Transport, and Action Links | 1-gen-2026 | De Rango, Francesco; Pastore, Emmanuel Pio | |
| Making liquid-biopsy predictions usable in SCLC—calibration, transfer, and action-linked thresholds | 1-gen-2025 | De Rango, Francesco; Pastore, Emmanuel Pio | |
| Sepsis mortality prediction in ICU: align time zero and prevent leakage | 1-gen-2025 | De Rango, Francesco; Pastore, Emmanuel Pio | |
| Stroke risk nomograms from machine learning need clearer calibration and transportability assessment | 1-gen-2026 | De Rango, Francesco; Pastore, Emmanuel Pio |