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Transi-Net: An Explainable Deep Learning Model Ensemble For Prostate's Transition Zone Segmentation., , , , , , , , and . BIBE, page 422-426. IEEE, (2023)Registration and Fusion Techniques for Medical Images: Demonstration and Evaluation., , , , and . BIOSTEC (Selected Papers), volume 127 of Communications in Computer and Information Science, page 15-28. Springer, (2010)Data Quality Challenges in a Learning Health System., , , , , , , and . MIE, volume 270 of Studies in Health Technology and Informatics, page 143-147. IOS Press, (2020)Machine Learning Models to Predict Myocardial Infarction Within 10-Years Follow-up of Cardiovascular Disease Progression., , , , , , , and . BHI, page 1-4. IEEE, (2022)Hermite Kernels for slice interpolation in medical images., , , , and . EMBC, page 4369-4373. IEEE, (2012)Classification of Event-Related Potentials associated with response errors in actors., , , and . BIBE, page 1-6. IEEE, (2008)Enhancing Healthcare Through Telehealth Ecosystems: Impacts and Prospects., , , , , , and . EFMI-STC, volume 309 of Studies in Health Technology and Informatics, page 302-303. IOS Press, (2023)Contrast enhancement of images using Partitioned Iterated Function Systems., , and . Image Vis. Comput., 28 (1): 45-54 (2010)Automatic retinal image registration scheme using global optimization techniques., , , and . IEEE Trans. Inf. Technol. Biomed., 3 (1): 47-60 (1999)Registration of Retinal Angiograms Using Self Organizing Maps., , , and . EMBC, page 4722-4725. IEEE, (2006)