Pain assessment in infants: Towards spotting pain expression based on infants' facial strain. - Ghada Zamzmi; Gabriel Ruiz; Dmitry B. Goldgof; Rangachar Kasturi; Yu Sun 004; Terri Ashmeade (FG, 2015)

An approach for automated multimodal analysis of infants' pain. - Ghada Zamzmi; Chih-Yun Pai; Dmitry B. Goldgof; Rangachar Kasturi; Terri Ashmeade; Yu Sun 004 (ICPR, 2016)

Machine-based Multimodal Pain Assessment Tool for Infants: A Review. - Ghada Zamzmi; Chih-Yun Pai; Dmitry B. Goldgof; Rangachar Kasturi; Yu Sun 004; Terri Ashmeade (CoRR, 2016)

Automated Pain Assessment in Neonates. - Ghada Zamzmi; Chih-Yun Pai; Dmitry B. Goldgof; Rangachar Kasturi; Yu Sun 004; Terri Ashmeade (SCIA (2), 2017)

Toward Ubiquitous Assessment of Neonates' Health Condition. - Ghada Zamzmi; Dmitry B. Goldgof; Rangachar Kasturi; Yu Sun 004 (UbiComp/ISWC Adjunct, 2018)

Neonatal Pain Expression Recognition Using Transfer Learning. - Ghada Zamzmi; Dmitry B. Goldgof; Rangachar Kasturi; Yu Sun 004 (CoRR, 2018)

A method to Suppress Facial Expression in Posed and Spontaneous Videos. - Ghada Zamzmi; Gabriel Ruiz; Matthew Shreve; Dmitry B. Goldgof; Rangachar Kasturi; Sudeep Sarkar (CoRR, 2018)

Infants' Pain Recognition Based on Facial Expression: Dynamic Hybrid Descriptions. - Ruicong Zhi; Ghada Zamzmi; Dmitry B. Goldgof; Terri Ashmeade; Tingting Li; Yu Sun 004 (IEICE Trans. Inf. Syst., 2018)

Echo Doppler Flow Classification and Goodness Assessment with Convolutional Neural Networks. - Ghada Zamzmi; Li-Yueh Hsu; Wen Li; Vandana Sachdev; Sameer K. Antani (ICMLA, 2019)

Pain Assessment From Facial Expression: Neonatal Convolutional Neural Network (N-CNN). - Ghada Zamzmi; Rahul Paul; Dmitry B. Goldgof; Rangachar Kasturi; Yu Sun 004 (IJCNN, 2019)

Multi-Channel Neural Network for Assessing Neonatal Pain from Videos. - Md Sirajus Salekin; Ghada Zamzmi; Dmitry B. Goldgof; Rangachar Kasturi; Thao Ho; Yu Sun 004 (SMC, 2019)

Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound. - Md Sirajus Salekin; Ghada Zamzmi; Rahul Paul; Dmitry B. Goldgof; Rangachar Kasturi; Thao Ho; Yu Sun 004 (CoRR, 2019)

Convolutional Neural Networks for Neonatal Pain Assessment. - Ghada Zamzmi; Rahul Paul; Md Sirajus Salekin; Dmitry B. Goldgof; Rangachar Kasturi; Thao Ho; Yu Sun 004 (IEEE Trans. Biom. Behav. Identity Sci., 2019)

First Investigation into the Use of Deep Learning for Continuous Assessment of Neonatal Postoperative Pain. - Md Sirajus Salekin; Ghada Zamzmi; Dmitry B. Goldgof; Rangachar Kasturi; Thao Ho; Yu Sun 004 (FG, 2020)

Fully automated spectral envelope and peak velocity detection from Doppler echocardiography images. - Ghada Zamzmi; Li-Yueh Hsu; Wen Li; Vandana Sachdev; Sameer K. Antani (Computer-Aided Diagnosis, 2020)

Unified Representation Learning for Efficient Medical Image Analysis. - Ghada Zamzmi; Sivaramakrishnan Rajaraman; Sameer K. Antani (CoRR, 2020)

Cell Complex Neural Networks. - Mustafa Hajij; Kyle Istvan; Ghada Zamzmi (CoRR, 2020)

Accounting for Affect in Pain Level Recognition. - Md Taufeeq Uddin; Shaun J. Canavan; Ghada Zamzmi (CoRR, 2020)

Algebraically-Informed Deep Networks (AIDN): A Deep Learning Approach to Represent Algebraic Structures. - Mustafa Hajij; Ghada Zamzmi; Matthew Dawson; Greg Muller (CoRR, 2020)

TDA-Net: Fusion of Persistent Homology and Deep Learning Features for COVID-19 Detection From Chest X-Ray Images. - Mustafa Hajij; Ghada Zamzmi; Fawwaz Batayneh (EMBC, 2021)

Machine Learning for Health (ML4H) 2021. - Subhrajit Roy; Stephen Pfohl; Girmaw Abebe Tadesse; Luis Oala; Fabian Falck; Yuyin Zhou; Liyue Shen; Ghada Zamzmi; Purity Mugambi; Ayah Zirikly; Matthew B. A. McDermott; Emily Alsentzer (ML4H@NeurIPS, 2021)

Pattern Recognition in Vital Signs Using Spectrograms. - Sidharth Srivatsav Sribhashyam; Md Sirajus Salekin; Dmitry B. Goldgof; Ghada Zamzmi; Mark Last; Yu Sun 004 (SMC, 2021)

Trilateral Attention Network for Real-Time Cardiac Region Segmentation. - Ghada Zamzmi; Sivaramakrishnan Rajaraman; Vandana Sachdev; Sameer K. Antani (IEEE Access, 2021)

Multimodal spatio-temporal deep learning approach for neonatal postoperative pain assessment. - Md Sirajus Salekin; Ghada Zamzmi; Dmitry B. Goldgof; Rangachar Kasturi; Thao Ho; Yu Sun 004 (Comput. Biol. Medicine, 2021)

TDA-Net: Fusion of Persistent Homology and Deep Learning Features for COVID-19 Detection in Chest X-Ray Images. - Mustafa Hajij; Ghada Zamzmi; Fawwaz Batayneh (CoRR, 2021)

Persistent Homology and Graphs Representation Learning. - Mustafa Hajij; Ghada Zamzmi; Xuanting Cai (CoRR, 2021)

Simplicial Complex Representation Learning. - Mustafa Hajij; Ghada Zamzmi; Xuanting Cai (CoRR, 2021)

Improved TB classification using bone-suppressed chest radiographs. - Sivaramakrishnan Rajaraman; Ghada Zamzmi; Les R. Folio; Philip O. Alderson; Sameer K. Antani (CoRR, 2021)

Trilateral Attention Network for Real-time Medical Image Segmentation. - Ghada Zamzmi; Vandana Sachdev; Sameer K. Antani (CoRR, 2021)

Pattern Recognition in Vital Signs Using Spectrograms. - Sidharth Srivatsav Sribhashyam; Md Sirajus Salekin; Dmitry B. Goldgof; Ghada Zamzmi; Yu Sun 004 (CoRR, 2021)

Multi-loss ensemble deep learning for chest X-ray classification. - Sivaramakrishnan Rajaraman; Ghada Zamzmi; Sameer K. Antani (CoRR, 2021)

Data-Centric AI Requires Rethinking Data Notion. - Mustafa Hajij; Ghada Zamzmi; Karthikeyan Natesan Ramamurthy; Aldo Guzmán-Sáenz (CoRR, 2021)

Multimodal-Based Stream Integrated Neural Networks for Pain Assessment. - Ruicong Zhi; Caixia Zhou; Junwei Yu; Tingting Li; Ghada Zamzmi (IEICE Trans. Inf. Syst., 2021)

Open-world active learning for echocardiography view classification. - Ghada Zamzmi; Tochi Oguguo; Sivaramakrishnan Rajaraman; Sameer K. Antani (Computer-Aided Diagnosis, 2022)

Attentional Generative Multimodal Network for Neonatal Postoperative Pain Estimation. - Md Sirajus Salekin; Ghada Zamzmi; Dmitry B. Goldgof; Peter R. Mouton; Kanwaljeet J. S. Anand; Terri Ashmeade; Stephanie Prescott; Yangxin Huang; Yu Sun 004 (MICCAI (3), 2022)

Machine Learning for Health (ML4H) 2022. - Antonio Parziale; Monica Agrawal; Shengpu Tang; Kristen Severson 001; Luis Oala; Adarsh Subbaswamy; Sayantan Kumar; Elora D. M. Schörverth; Stefan Hegselmann; Helen Zhou; Ghada Zamzmi; Purity Mugambi; et al. (ML4H@NeurIPS, 2022)

Data Characterization for Reliable AI in Medicine. - Sivaramakrishnan Rajaraman; Ghada Zamzmi; Feng Yang 010; Zhiyun Xue; Sameer K. Antani (RTIP2R, 2022)

WiCV 2021: The Eighth Women In Computer Vision Workshop. - Arushi Goel; Niveditha Kalavakonda; Nour Karessli; Tejaswi Kasarla; Kathryn Leonard; Boyi Li; Nermin Samet; Ghada Zamzmi (CoRR, 2022)

Robust Neonatal Face Detection in Real-world Clinical Settings. - Jacqueline Hausmann; Md Sirajus Salekin; Ghada Zamzmi; Dmitry B. Goldgof; Yu Sun 004 (CoRR, 2022)

Higher-Order Attention Networks. - Mustafa Hajij; Ghada Zamzmi; Theodore Papamarkou; Nina Miolane; Aldo Guzmán-Sáenz; Karthikeyan Natesan Ramamurthy (CoRR, 2022)

Deep ensemble learning for segmenting tuberculosis-consistent manifestations in chest radiographs. - Sivaramakrishnan Rajaraman; Feng Yang 010; Ghada Zamzmi; Peng Guo; Zhiyun Xue; Sameer K. Antani (CoRR, 2022)

Generalizability of Deep Adult Lung Segmentation Models to the Pediatric Population: A Retrospective Study. - Sivaramakrishnan Rajaraman; Feng Yang 010; Ghada Zamzmi; Zhiyun Xue; Sameer K. Antani (CoRR, 2022)

Real-time echocardiography image analysis and quantification of cardiac indices. - Ghada Zamzmi; Sivaramakrishnan Rajaraman; Li-Yueh Hsu; Vandana Sachdev; Sameer K. Antani (Medical Image Anal., 2022)

A Comprehensive and Context-Sensitive Neonatal Pain Assessment Using Computer Vision. - Ghada Zamzmi; Chih-Yun Pai; Dmitry B. Goldgof; Rangachar Kasturi; Terri Ashmeade; Yu Sun 004 (IEEE Trans. Affect. Comput., 2022)

Combinatorial Complexes: Bridging the Gap Between Cell Complexes and Hypergraphs. - Mustafa Hajij; Ghada Zamzmi; Theodore Papamarkou; AIdo Guzman-Saenz; Tolga Birdal; Michael T. Schaub (ACSSC, 2023)

Enhancing Neonatal Pain Assessment Transparency via Explanatory Training Examples Identification. - Md Imran Hossain; Ghada Zamzmi; Peter R. Mouton; Yu Sun 004; Dmitry B. Goldgof (CBMS, 2023)

Association Between Chronic Back Pain and Protective Behaviors is Subjective and Context Dependent. - Md Taufeeq Uddin; Ghada Zamzmi; Shaun J. Canavan (EMBC, 2023)

A Comparative Study of Fairness in Medical Machine Learning. - Tochi Oguguo; Ghada Zamzmi; Sivaramakrishnan Rajaraman; Feng Yang 010; Zhiyun Xue; Sameer K. Antani (ISBI, 2023)

Machine Learning for Health (ML4H) 2023. - Stefan Hegselmann; Antonio Parziale; Divya Shanmugam; Shengpu Tang; Kristen Severson 001; Mercy Nyamewaa Asiedu; Serina Chang; Bonaventure F. P. Dossou; Qian Huang; Fahad Kamran; Haoran Zhang 003; Sujay Nagaraj; et al. (ML4H@NeurIPS, 2023)

ICML 2023 Topological Deep Learning Challenge: Design and Results. - Mathilde Papillon; Mustafa Hajij; Audun Myers; Florian Frantzen; Ghada Zamzmi; Helen Jenne; Johan Mathe; Josef Hoppe; Michael T. Schaub; Theodore Papamarkou; Aldo Guzmán-Sáenz; Bastian Rieck; et al. (TAG-ML, 2023)

Assessing Inter-Annotator Agreement for Medical Image Segmentation. - Feng Yang 010; Ghada Zamzmi; Sandeep Angara; Sivaramakrishnan Rajaraman; André Aquilina; Zhiyun Xue; Stefan Jäger 001; Emmanouil Papagiannakis; Sameer K. Antani (IEEE Access, 2023)

Does image resolution impact chest X-ray based fine-grained Tuberculosis-consistent lesion segmentation? - Sivaramakrishnan Rajaraman; Feng Yang 010; Ghada Zamzmi; Zhiyun Xue; Sameer K. Antani (CoRR, 2023)

Uncovering the effects of model initialization on deep model generalization: A study with adult and pediatric Chest X-ray images. - Sivaramakrishnan Rajaraman; Ghada Zamzmi; Feng Yang 010; Zhaohui Liang; Zhiyun Xue; Sameer K. Antani (CoRR, 2023)

ICML 2023 Topological Deep Learning Challenge : Design and Results. - Mathilde Papillon; Mustafa Hajij; Florian Frantzen; Josef Hoppe; Helen Jenne; Johan Mathe; Audun Myers; Theodore Papamarkou; Michael T. Schaub; Ghada Zamzmi; Tolga Birdal; Tamal K. Dey; et al. (CoRR, 2023)

Combinatorial Complexes: Bridging the Gap Between Cell Complexes and Hypergraphs. - Mustafa Hajij; Ghada Zamzmi; Theodore Papamarkou; Aldo Guzmán-Sáenz; Tolga Birdal; Michael T. Schaub (CoRR, 2023)

Can deep adult lung segmentation models generalize to the pediatric population? - Sivaramakrishnan Rajaraman; Feng Yang 010; Ghada Zamzmi; Zhiyun Xue; Sameer K. Antani (Expert Syst. Appl., 2023)

Cooperative Learning for Personalized Context-Aware Pain Assessment From Wearable Data. - Md Taufeeq Uddin; Ghada Zamzmi; Shaun J. Canavan (IEEE J. Biomed. Health Informatics, 2023)

Enhancing Concept-Based Explanation with Vision-Language Models. - Md Imran Hossain; Ghada Zamzmi; Peter R. Mouton; Yu Sun 004; Dmitry B. Goldgof (CBMS, 2024)

Anonymized Identity Tracking: Privacy Preserving Facial Encoding. - Manas Sanjay Pakalapati; Dmitry B. Goldgof; Lawrence O. Hall; Ghada Zamzmi (CBMS, 2024)

Explainable AI (XAI) for Neonatal Pain Assessment via Influence Function Modification. - Md Imran Hossain; Ghada Zamzmi; Peter R. Mouton; Yu Sun 004; Dmitry B. Goldgof (EMBC, 2024)

Position: Topological Deep Learning is the New Frontier for Relational Learning. - Theodore Papamarkou; Tolga Birdal; Michael M. Bronstein; Gunnar E. Carlsson; Justin Curry; Yue Gao; Mustafa Hajij; Roland Kwitt; Pietro Lio; Paolo Di Lorenzo; Vasileios Maroulas; Nina Miolane; et al. (ICML, 2024)

Accurate Neonatal Face Detection for Improved Pain Classification in the Challenging NICU Setting. - Jacqueline Hausmann; Md Sirajus Salekin; Ghada Zamzmi; Peter R. Mouton; Stephanie Prescott; Thao Ho; Yu Sun 004; Dmitry B. Goldgof (IEEE Access, 2024)

Semantically redundant training data removal and deep model classification performance: A study with chest X-rays. - Sivaramakrishnan Rajaraman; Ghada Zamzmi; Feng Yang 010; Zhaohui Liang; Zhiyun Xue; Sameer K. Antani (Comput. Medical Imaging Graph., 2024)

TopoX: A Suite of Python Packages for Machine Learning on Topological Domains. - Mustafa Hajij; Mathilde Papillon; Florian Frantzen; Jens Agerberg; Ibrahem AlJabea; Rubén Ballester; Claudio Battiloro; Guillermo Bernárdez; Tolga Birdal; Aiden Brent; Peter Chin 001; Sergio Escalera; et al. (CoRR, 2024)

Out-of-Distribution Detection and Data Drift Monitoring using Statistical Process Control. - Ghada Zamzmi; Kesavan Venkatesh; Brandon Nelson; Smriti Prathapan; Paul H. Yi; Berkman Sahiner; Jana G. Delfino (CoRR, 2024)

Position Paper: Challenges and Opportunities in Topological Deep Learning. - Theodore Papamarkou; Tolga Birdal; Michael M. Bronstein; Gunnar E. Carlsson; Justin Curry; Yue Gao; Mustafa Hajij; Roland Kwitt; Pietro Liò; Paolo Di Lorenzo; Vasileios Maroulas; Nina Miolane; et al. (CoRR, 2024)

TopoBenchmarkX: A Framework for Benchmarking Topological Deep Learning. - Lev Telyatnikov; Guillermo Bernárdez; Marco Montagna; Pavlo Vasylenko; Ghada Zamzmi; Mustafa Hajij; Michael T. Schaub; Nina Miolane; Simone Scardapane; Theodore Papamarkou (CoRR, 2024)

Scorecards for Synthetic Medical Data Evaluation and Reporting. - Ghada Zamzmi; Adarsh Subbaswamy; Elena Sizikova; Ed Margerrison; Jana G. Delfino; Aldo Badano (CoRR, 2024)

Synthetic Data in Radiological Imaging: Current State and Future Outlook. - Elena Sizikova; Andreu Badal; Jana G. Delfino; Miguel A. Lago; Brandon Nelson; Niloufar Saharkhiz; Berkman Sahiner; Ghada Zamzmi; Aldo Badano (CoRR, 2024)

Forecasting Changes in the Data Characteristics of AI Models. - Elly Konjkav; Ghada Zamzmi; Jana G. Delfino (ISBI, 2025)

Evaluating Explainability: A Framework for Systematic Assessment and Reporting of Explainable AI Features. - Miguel A. Lago; Ghada Zamzmi; Brandon Eich; Jana G. Delfino (CoRR, 2025)

Explainable AI for Medical Data: Current Methods, Limitations, and Future Directions. - Md Imran Hossain; Ghada Zamzmi; Peter R. Mouton; Md Sirajus Salekin; Yu Sun 004; Dmitry B. Goldgof (ACM Comput. Surv., 2025)

HistoART: Histopathology Artifact Detection and Reporting Tool. - Seyed Kahaki; Alexander R. Webber; Ghada Zamzmi; Adarsh Subbaswamy; Rucha Deshpande; Aldo Badano (CoRR, 2025)