| Year |
Citation |
Score |
| 2024 |
Rajaraman S, Zamzmi G, Yang F, Liang Z, Xue Z, Antani S. Uncovering the effects of model initialization on deep model generalization: A study with adult and pediatric chest X-ray images. Plos Digital Health. 3: e0000286. PMID 38232121 DOI: 10.1371/journal.pdig.0000286 |
0.663 |
|
| 2023 |
Rajaraman S, Zamzmi G, Yang F, Liang Z, Xue Z, Antani S. Semantically Redundant Training Data Removal and Deep Model Classification Performance: A Study with Chest X-rays. Arxiv. PMID 37986725 |
0.645 |
|
| 2023 |
Zamzmi G, Hsu LY, Rajaraman S, Li W, Sachdev V, Antani S. Evaluation of an artificial intelligence-based system for echocardiographic estimation of right atrial pressure. The International Journal of Cardiovascular Imaging. PMID 37682418 DOI: 10.1007/s10554-023-02941-8 |
0.621 |
|
| 2023 |
Uddin MT, Zamzmi G, Canavan S. Cooperative Learning for Personalized Context-aware Pain Assessment from Wearable Data. Ieee Journal of Biomedical and Health Informatics. PMID 37440405 DOI: 10.1109/JBHI.2023.3294903 |
0.354 |
|
| 2023 |
Rajaraman S, Yang F, Zamzmi G, Xue Z, Antani S. Can Deep Adult Lung Segmentation Models Generalize to the Pediatric Population? Expert Systems With Applications. 229. PMID 37397242 DOI: 10.1016/j.eswa.2023.120531 |
0.645 |
|
| 2023 |
Yang F, Zamzmi G, Angara S, Rajaraman S, Aquilina A, Xue Z, Jaeger S, Papagiannakis E, Antani SK. Assessing Inter-Annotator Agreement for Medical Image Segmentation. Ieee Access : Practical Innovations, Open Solutions. 11: 21300-21312. PMID 37008654 DOI: 10.1109/access.2023.3249759 |
0.677 |
|
| 2023 |
Xue Z, Yang F, Rajaraman S, Zamzmi G, Antani S. Cross Dataset Analysis of Domain Shift in CXR Lung Region Detection. Diagnostics (Basel, Switzerland). 13. PMID 36980375 DOI: 10.3390/diagnostics13061068 |
0.672 |
|
| 2023 |
Rajaraman S, Yang F, Zamzmi G, Xue Z, Antani S. Assessing the Impact of Image Resolution on Deep Learning for TB Lesion Segmentation on Frontal Chest X-rays. Diagnostics (Basel, Switzerland). 13. PMID 36832235 DOI: 10.3390/diagnostics13040747 |
0.675 |
|
| 2023 |
Rajaraman S, Yang F, Zamzmi G, Xue Z, Antani S. Does image resolution impact chest X-ray based fine-grained Tuberculosis-consistent lesion segmentation? Arxiv. PMID 36789135 |
0.672 |
|
| 2023 |
Rajaraman S, Zamzmi G, Yang F, Xue Z, Antani SK. Data Characterization for Reliable AI in Medicine. Recent Trends in Image Processing and Pattern Recognition : 5th International Conference, Rtip2r 2022, Kingsville, Tx, Usa, December 01-02, 2022, Revised Selected Papers. International Conference On Recent Trends in Image Processing and.... 1704: 3-11. PMID 36780238 DOI: 10.1007/978-3-031-23599-3_1 |
0.614 |
|
| 2022 |
Salekin MS, Zamzmi G, Goldgof D, Mouton PR, Anand KJS, Ashmeade T, Prescott S, Huang Y, Sun Y. Attentional Generative Multimodal Network for Neonatal Postoperative Pain Estimation. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 13433: 749-759. PMID 36939418 DOI: 10.1007/978-3-031-16437-8_72 |
0.627 |
|
| 2022 |
Sribhashyam SS, Salekin MS, Goldgof D, Zamzmi G, Last M, Sun Y. Pattern Recognition in Vital Signs Using Spectrograms. Conference Proceedings. Ieee International Conference On Systems, Man, and Cybernetics. 2021: 1133-1138. PMID 36936797 DOI: 10.1109/smc52423.2021.9658924 |
0.484 |
|
| 2022 |
Zamzmi G, Oguguo T, Rajaraman S, Antani S. Open World Active Learning for Echocardiography View Classification. Proceedings of Spie--the International Society For Optical Engineering. 12033. PMID 36860349 DOI: 10.1117/12.2612578 |
0.634 |
|
| 2022 |
Rajaraman S, Yang F, Zamzmi G, Xue Z, Antani SK. A Systematic Evaluation of Ensemble Learning Methods for Fine-Grained Semantic Segmentation of Tuberculosis-Consistent Lesions in Chest Radiographs. Bioengineering (Basel, Switzerland). 9. PMID 36134959 DOI: 10.3390/bioengineering9090413 |
0.652 |
|
| 2022 |
Zamzmi G, Rajaraman S, Hsu LY, Sachdev V, Antani S. Real-time echocardiography image analysis and quantification of cardiac indices. Medical Image Analysis. 80: 102438. PMID 35868819 DOI: 10.1016/j.media.2022.102438 |
0.662 |
|
| 2022 |
Rajaraman S, Zamzmi G, Yang F, Xue Z, Jaeger S, Antani SK. Uncertainty Quantification in Segmenting Tuberculosis-Consistent Findings in Frontal Chest X-rays. Biomedicines. 10. PMID 35740345 DOI: 10.3390/biomedicines10061323 |
0.667 |
|
| 2022 |
Rajaraman S, Zamzmi G, Folio LR, Antani S. Detecting Tuberculosis-Consistent Findings in Lateral Chest X-Rays Using an Ensemble of CNNs and Vision Transformers. Frontiers in Genetics. 13: 864724. PMID 35281798 DOI: 10.3389/fgene.2022.864724 |
0.664 |
|
| 2021 |
Salekin MS, Mouton PR, Zamzmi G, Patel R, Goldgof D, Kneusel M, Elkins SL, Murray E, Coughlin ME, Maguire D, Ho T, Sun Y. Future roles of artificial intelligence in early pain management of newborns. Paediatric & Neonatal Pain. 3: 134-145. PMID 35547946 DOI: 10.1002/pne2.12060 |
0.582 |
|
| 2021 |
Zamzmi G, Rajaraman S, Sachdev V, Antani S. Trilateral Attention Network for Real-Time Cardiac Region Segmentation. Ieee Access : Practical Innovations, Open Solutions. 9: 118205-118214. PMID 35317287 DOI: 10.1109/access.2021.3107303 |
0.632 |
|
| 2021 |
Rajaraman S, Zamzmi G, Antani SK. Novel loss functions for ensemble-based medical image classification. Plos One. 16: e0261307. PMID 34968393 DOI: 10.1371/journal.pone.0261307 |
0.669 |
|
| 2021 |
Rajaraman S, Zamzmi G, Folio L, Alderson P, Antani S. Chest X-ray Bone Suppression for Improving Classification of Tuberculosis-Consistent Findings. Diagnostics (Basel, Switzerland). 11. PMID 34067034 DOI: 10.3390/diagnostics11050840 |
0.63 |
|
| 2021 |
Salekin MS, Zamzmi G, Hausmann J, Goldgof D, Kasturi R, Kneusel M, Ashmeade T, Ho T, Sun Y. Multimodal neonatal procedural and postoperative pain assessment dataset. Data in Brief. 35: 106796. PMID 33644268 DOI: 10.1016/j.dib.2021.106796 |
0.74 |
|
| 2020 |
Salekin MS, Zamzmi G, Goldgof D, Kasturi R, Ho T, Sun Y. Multimodal spatio-temporal deep learning approach for neonatal postoperative pain assessment. Computers in Biology and Medicine. 129: 104150. PMID 33348218 DOI: 10.1016/j.compbiomed.2020.104150 |
0.755 |
|
| 2020 |
Zamzmi G, Hsu LY, Li W, Sachdev V, Antani S. Harnessing Machine Intelligence in Automatic Echocardiogram Analysis: Current Status, Limitations, and Future Directions. Ieee Reviews in Biomedical Engineering. PMID 32305938 DOI: 10.1109/Rbme.2020.2988295 |
0.671 |
|
| 2020 |
Zamzmi G, Rajaraman S, Antani S. Accelerating Super-Resolution and Visual Task Analysis in Medical Images Applied Sciences. 10: 4282. DOI: 10.3390/App10124282 |
0.687 |
|
| 2019 |
Zamzmi G, Paul R, Salekin MS, Goldgof D, Kasturi R, Ho T, Sun Y. Convolutional Neural Networks for Neonatal Pain Assessment Ieee Transactions On Biometrics, Behavior, and Identity Science. 1: 192-200. DOI: 10.1109/TBIOM.2019.2918619 |
0.729 |
|
| 2019 |
Zamzmi G, Chih-Yun P, Goldgof D, Kasturi R, Ashmeade T, Sun Y. A Comprehensive and Context-Sensitive Neonatal Pain Assessment Using Computer Vision Ieee Transactions On Affective Computing. 1-1. DOI: 10.1109/Taffc.2019.2926710 |
0.73 |
|
| 2018 |
Zhi R, Zamzmi GZD, Goldgof D, Ashmeade T, Sun Y. Automatic Infants' Pain Assessment by Dynamic Facial Representation: Effects of Profile View, Gestational Age, Gender, and Race. Journal of Clinical Medicine. 7. PMID 29997313 DOI: 10.3390/jcm7070173 |
0.583 |
|
| 2018 |
Zhi R, Zamzmi G, Goldgof D, Ashmeade T, Li T, Sun Y. Infants' Pain Recognition Based on Facial Expression: Dynamic Hybrid Descriptions Ieice Transactions On Information and Systems. 101: 1860-1869. DOI: 10.1587/Transinf.2017Edp7272 |
0.363 |
|
| 2017 |
Zamzmi G, Kasturi R, Goldgof D, Zhi R, Ashmeade T, Sun Y. A Review of Automated Pain Assessment in Infants: Features, Classification Tasks, and Databases. Ieee Reviews in Biomedical Engineering. PMID 29989992 DOI: 10.1109/Rbme.2017.2777907 |
0.752 |
|
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