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Convolutional Neural Networks for Neonatal Pain Assessment., , , , , , and . IEEE Trans. Biom. Behav. Identity Sci., 1 (3): 192-200 (2019)Unified Representation Learning for Efficient Medical Image Analysis., , and . CoRR, (2020)Assessing Inter-Annotator Agreement for Medical Image Segmentation., , , , , , , , and . IEEE Access, (2023)TDA-Net: Fusion of Persistent Homology and Deep Learning Features for COVID-19 Detection From Chest X-Ray Images., , and . EMBC, page 4115-4119. IEEE, (2021)TopoX: A Suite of Python Packages for Machine Learning on Topological Domains., , , , , , , , , and 33 other author(s). CoRR, (2024)Generalizability of Deep Adult Lung Segmentation Models to the Pediatric Population: A Retrospective Study., , , , and . CoRR, (2022)Algebraically-Informed Deep Networks (AIDN): A Deep Learning Approach to Represent Algebraic Structures., , , and . CoRR, (2020)A Comprehensive and Context-Sensitive Neonatal Pain Assessment Using Computer Vision., , , , , and . IEEE Trans. Affect. Comput., 13 (1): 28-45 (2022)Cell Complex Neural Networks., , and . CoRR, (2020)Can deep adult lung segmentation models generalize to the pediatric population?, , , , and . Expert Syst. Appl., 229 (Part A): 120531 (November 2023)