Andrea Moglia
Forest And Food Sciences
Grugliasco, Italy
Grugliasco, Italy
Last Updated: 09/26/2026
Save publications for later
Sign Up
Not sure about your diagnosis?
Check Your Symptoms
Found 90 publications
Quantifying the Contribution of Bone Morphology to Implant Selection in Shoulder Arthroplasty Using CT-Based Deep Learning.
Journal: Bioengineering (Basel, Switzerland)
Published: April 11, 2026
Tiny but powerful: protoplast isolation in Solanum melongena L. and RNPs mediated genome editing.
Journal: Frontiers in plant science
Published: April 02, 2026
Transcriptomic landscapes of tissue-specific color transition in eggplant reveal regulatory roles of lncRNAs and alternative splicing in anthocyanin biosynthesis.
Journal: Frontiers in plant science
Published: March 16, 2026
From Lab to Field: CRISPRing Major Cultivated Solanaceae for Crop Improvement.
Journal: International journal of molecular sciences
Published: January 16, 2026
MiniGPT-Pancreas: Multimodal Large Language Model for Pancreas Cancer Observation and Localization in CT Images.
Journal: Journal of healthcare informatics research
Published: May 18, 2025
Optimized AI-based neural decoding from BOLD fMRI signal for analyzing visual and semantic ROIs in the human visual system.
Journal: Journal of neural engineering
Published: March 02, 2025
D2-RD-UNet: A dual-stage dual-class framework with connectivity correction for hepatic vessels segmentation.
Journal: Computers in biology and medicine
Published: February 28, 2025
Context-Aware Dual-Task Deep Network for Concurrent Bone Segmentation and Clinical Assessment to Enhance Shoulder Arthroplasty Preoperative planning.
Journal: IEEE open journal of engineering in medicine and biology
Published: October 07, 2024
Cascade learning in multi-task encoder-decoder networks for concurrent bone segmentation and glenohumeral joint clinical assessment in shoulder CT scans.
Journal: Artificial intelligence in medicine
Published: September 12, 2024
Main challenges on the curation of large scale datasets for pancreas segmentation using deep learning in multi-phase CT scans: Focus on cardinality, manual refinement, and annotation quality.
Journal: Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Published: February 06, 2024
Combined Edge Loss UNet for Optimized Segmentation in Total Knee Arthroplasty Preoperative Planning.
Combined Edge Loss UNet for Optimized Segmentation in Total Knee Arthroplasty Preoperative Planning.
Journal: Bioengineering (Basel, Switzerland)
Published: November 20, 2023
Last Updated: 09/26/2026