| The role of gut microbiota in the development of obesity and diabetes OA Baothman, MA Zamzami, I Taher, J Abubaker, M Abu-Farha Lipids in health and disease 15 (1), 1-8, 2016 | 622 | 2016 |
| A review of automated pain assessment in infants: features, classification tasks, and databases G Zamzmi, R Kasturi, D Goldgof, R Zhi, T Ashmeade, Y Sun IEEE reviews in biomedical engineering 11, 77-96, 2017 | 110 | 2017 |
| Multimodal spatio-temporal deep learning approach for neonatal postoperative pain assessment MS Salekin, G Zamzmi, D Goldgof, R Kasturi, T Ho, Y Sun Computers in biology and medicine 129, 104150, 2021 | 76 | 2021 |
| Cell complex neural networks M Hajij, K Istvan, G Zamzmi arXiv preprint arXiv:2010.00743, 2020 | 72 | 2020 |
| An approach for automated multimodal analysis of infants' pain G Zamzmi, CY Pai, D Goldgof, R Kasturi, T Ashmeade, Y Sun 2016 23rd International Conference on Pattern Recognition (ICPR), 4148-4153, 2016 | 62 | 2016 |
| Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part III M De Bruijne, PC Cattin, S Cotin, N Padoy, S Speidel, Y Zheng, C Essert Springer Nature, 2021 | 58 | 2021 |
| Topological Deep Learning: Going Beyond Graph Data M Hajij, G Zamzmi, T Papamarkou, N Miolane, A Guzmán-Sáenz, ... | 53 | 2023 |
| Chest x-ray bone suppression for improving classification of tuberculosis-consistent findings S Rajaraman, G Zamzmi, L Folio, P Alderson, S Antani Diagnostics 11 (5), 840, 2021 | 48 | 2021 |
| Harnessing machine intelligence in automatic echocardiogram analysis: Current status, limitations, and future directions G Zamzmi, LY Hsu, W Li, V Sachdev, S Antani IEEE reviews in biomedical engineering 14, 181-203, 2020 | 46 | 2020 |
| Real-time echocardiography image analysis and quantification of cardiac indices G Zamzmi, S Rajaraman, LY Hsu, V Sachdev, S Antani Medical image analysis 80, 102438, 2022 | 45 | 2022 |
| Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part I AL Martel, P Abolmaesumi, D Stoyanov, D Mateus, MA Zuluaga, SK Zhou, ... Springer Nature, 2020 | 45 | 2020 |
| Pain assessment from facial expression: Neonatal convolutional neural network (N-CNN) G Zamzmi, R Paul, D Goldgof, R Kasturi, Y Sun 2019 International Joint Conference on Neural Networks (IJCNN), 1-7, 2019 | 45 | 2019 |
| A comprehensive and context-sensitive neonatal pain assessment using computer vision G Zamzmi, CY Pai, D Goldgof, R Kasturi, T Ashmeade, Y Sun IEEE Transactions on Affective Computing 13 (1), 28-45, 2019 | 42 | 2019 |
| Automated pain assessment in neonates G Zamzmi, CY Pai, D Goldgof, R Kasturi, Y Sun, T Ashmeade Image Analysis: 20th Scandinavian Conference, SCIA 2017, Tromsø, Norway …, 2017 | 42 | 2017 |
| Pain assessment in infants: towards spotting pain expression based on infants' facial strain G Zamzami, G Ruiz, D Goldgof, R Kasturi, Y Sun, T Ashmeade 2015 11th IEEE International Conference and Workshops on Automatic Face and …, 2015 | 39 | 2015 |
| Machine-based multimodal pain assessment tool for infants: a review G Zamzmi, D Goldgof, R Kasturi, Y Sun, T Ashmeade arXiv preprint arXiv:1607.00331, 2016 | 38 | 2016 |
| Multi-channel neural network for assessing neonatal pain from videos MS Salekin, G Zamzmi, D Goldgof, R Kasturi, T Ho, Y Sun 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019 | 35 | 2019 |
| Position: Topological deep learning is the new frontier for relational learning T Papamarkou, T Birdal, M Bronstein, G Carlsson, J Curry, Y Gao, M Hajij, ... arXiv preprint arXiv:2402.08871, 2024 | 34 | 2024 |
| Multimodal neonatal procedural and postoperative pain assessment dataset MS Salekin, G Zamzmi, J Hausmann, D Goldgof, R Kasturi, M Kneusel, ... Data in Brief 35, 106796, 2021 | 33 | 2021 |
| Convolutional neural networks for neonatal pain assessment G Zamzmi, R Paul, MS Salekin, D Goldgof, R Kasturi, T Ho, Y Sun IEEE Transactions on Biometrics, Behavior, and Identity Science 1 (3), 192-200, 2019 | 33 | 2019 |
Dmitry GoldgofDistinguished Professor of Computer Science and Engineering, University of South FloridaVerified email at mail.usf.edu
