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3. Curved planar reformatting and convolutional neural network‐based segmentation of the small bowel for visualization and quantitative assessment of pediatric Crohn's disease from MRI. Issue 6 (24th October 2018)

4. Development of a multimodal machine-learning fusion model to non-invasively assess ileal Crohn's disease endoscopic activity. (December 2022)

5. Improving CCTA‐based lesions' hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentation. Issue 3 (17th March 2017)