Enrico Grisan

AI-driven ultrahigh magnification endocytoscopy for real-time assessment of intestinal barrier integrity and prediction of clinical outcomes in inflammatory bowel disease.

Journal: Endoscopy

Published: August 28, 2026

Artificial intelligence in inflammatory bowel disease: bridging innovation, implementation and impact.

Journal: Nature reviews. Gastroenterology & hepatology

Published: February 25, 2026

Quantitative measurements of crypts from advanced endoscopy imaging using deep learning-based segmentation.

Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Published: December 03, 2025

Mind the Gap: Evaluating Patch Embeddings from General-Purpose and Histopathology Foundation Models for Cell Segmentation and Classification.

Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Published: December 03, 2025

ML Framework for Aggregating Individual-Level and averaged clinical data.

Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Published: December 03, 2025

Automated real-time imaging of intestinal barrier integrity and molecular profiling for early outcome prediction in inflammatory bowel disease: endo-histo-barrier-omics study.

Journal: Journal of Crohn's & colitis

Published: November 19, 2025

Shaping the future of postoperative recurrence in Crohn's disease: personalised approaches with AI-enabled imaging and multi-omics.

Journal: Gut

Published: October 02, 2025

Endo-Histo foundational fusion model: a novel artificial intelligence for assessing histologic remission and response to therapy in ulcerative colitis clinical trial.

Journal: Journal of Crohn's & colitis

Published: June 28, 2025

A Novel Switching of Artificial Intelligence to Generate Simultaneously Multimodal Images to Assess Inflammation and Predict Outcomes in Ulcerative Colitis-(With Video).

Journal: Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society

Published: January 24, 2025

CISCA and CytoDArk0: A cell instance segmentation and classification method for histo(patho)logical image Analyses and a new, open, Nissl-stained dataset for brain cytoarchitecture studies.

Journal: Computers in biology and medicine

Published: December 18, 2024

AI-driven ultrahigh magnification endocytoscopy for real-time assessment of intestinal barrier integrity and prediction of clinical outcomes in inflammatory bowel disease.

AI-driven ultrahigh magnification endocytoscopy for real-time assessment of intestinal barrier integrity and prediction of clinical outcomes in inflammatory bowel disease.

Artificial intelligence in inflammatory bowel disease: bridging innovation, implementation and impact.

Artificial intelligence in inflammatory bowel disease: bridging innovation, implementation and impact.

Quantitative measurements of crypts from advanced endoscopy imaging using deep learning-based segmentation.

Quantitative measurements of crypts from advanced endoscopy imaging using deep learning-based segmentation.

Mind the Gap: Evaluating Patch Embeddings from General-Purpose and Histopathology Foundation Models for Cell Segmentation and Classification.

Mind the Gap: Evaluating Patch Embeddings from General-Purpose and Histopathology Foundation Models for Cell Segmentation and Classification.

ML Framework for Aggregating Individual-Level and averaged clinical data.

ML Framework for Aggregating Individual-Level and averaged clinical data.

Automated real-time imaging of intestinal barrier integrity and molecular profiling for early outcome prediction in inflammatory bowel disease: endo-histo-barrier-omics study.

Automated real-time imaging of intestinal barrier integrity and molecular profiling for early outcome prediction in inflammatory bowel disease: endo-histo-barrier-omics study.

Shaping the future of postoperative recurrence in Crohn's disease: personalised approaches with AI-enabled imaging and multi-omics.

Shaping the future of postoperative recurrence in Crohn's disease: personalised approaches with AI-enabled imaging and multi-omics.

Endo-Histo foundational fusion model: a novel artificial intelligence for assessing histologic remission and response to therapy in ulcerative colitis clinical trial.

Endo-Histo foundational fusion model: a novel artificial intelligence for assessing histologic remission and response to therapy in ulcerative colitis clinical trial.

A Novel Switching of Artificial Intelligence to Generate Simultaneously Multimodal Images to Assess Inflammation and Predict Outcomes in Ulcerative Colitis-(With Video).

A Novel Switching of Artificial Intelligence to Generate Simultaneously Multimodal Images to Assess Inflammation and Predict Outcomes in Ulcerative Colitis-(With Video).

CISCA and CytoDArk0: A cell instance segmentation and classification method for histo(patho)logical image Analyses and a new, open, Nissl-stained dataset for brain cytoarchitecture studies.

CISCA and CytoDArk0: A cell instance segmentation and classification method for histo(patho)logical image Analyses and a new, open, Nissl-stained dataset for brain cytoarchitecture studies.

Evaluating artificial intelligence-driven stress echocardiography analysis system (EASE study): A mixed method study.

Evaluating artificial intelligence-driven stress echocardiography analysis system (EASE study): A mixed method study.

Opportunities and Challenges in Applying AI to Evolutionary Morphology.

Opportunities and Challenges in Applying AI to Evolutionary Morphology.