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6. Cross-Environment Comparison of a Bioinformatics Pipeline: Perspectives for Hybrid Computations

11. MP41-20 EFFECTIVENESS OF RADIOMIC TUMOR ZONE OF TRANSITION (ZOT) FEATURES IN THE AUTOMATED DISCRIMINATION OF ONCOCYTOMA FROM CLEAR CELL RENAL CANCER

13. Automated Wound Image Segmentation: Transfer Learning from Human to Pet via Active Semi-Supervised Learning

14. Effectiveness of Radiomic ZOT Features in the Automated Discrimination of Oncocytoma from Clear Cell Renal Cancer

16. Machine Learning Pipeline for the Automated Prediction of MicrovascularInvasion in HepatocellularCarcinomas

23. Prediction of Overall Survival in Cervical Cancer Patients Using PET/CT Radiomic Features

26. Automated Prediction of the Response to Neoadjuvant Chemoradiotherapy in Patients Affected by Rectal Cancer

27. Outcome Prediction for SARS-CoV-2 Patients Using Machine Learning Modeling of Clinical, Radiological, and Radiomic Features Derived from Chest CT Images

29. Effectiveness of Semi-Supervised Active Learning in Automated Wound Image Segmentation.

31. Classification Performance for COVID Patient Prognosis from Automatic AI Segmentation—A Single-Center Study

35. Additional file 4 of Impact of concurrency on the performance of a whole exome sequencing pipeline

36. Additional file 5 of Impact of concurrency on the performance of a whole exome sequencing pipeline

37. Clinical Text Reports to Stratify Patients Affected with Myeloid Neoplasms Using Natural Language Processing

39. Implementazione ed ottimizzazione di algoritmi per l'analisi di Biomedical Big Data

40. Implementation and optimization of algorithms in Biomedical Big Data Analytics

41. Prediction of vascular aging based on smartphone acquired PPG signals

46. Combinatorial Discriminant Analysis Applied to RNAseq Data Reveals a Set of 10 Transcripts as Signatures of Exposure of Cattle to Mycobacterium avium subsp. paratuberculosis

47. Impact of concurrency on the performance of a whole exome sequencing pipeline.

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