Ghada Zamzmi

According to our database, Ghada Zamzmi authored at least 69 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

Scorecards for Synthetic Medical Data Evaluation and Reporting.

Ghada Zamzmi, Adarsh Subbaswamy, Elena Sizikova, Ed Margerrison, Jana G. Delfino, Aldo Badano

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

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, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T. Schaub, Petar Velickovic, Bei Wang, Yusu Wang, Guo-Wei Wei, Ghada Zamzmi

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

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, Sergio Escalera, Simone Fiorellino, Odin Hoff Gardaa, Gurusankar Gopalakrishnan, Devendra Govil, Josef Hoppe, Maneel Reddy Karri, Jude Khouja, Manuel Lecha, Neal Livesay, Jan Meißner, Soham Mukherjee, Alexander Nikitin, Theodore Papamarkou, Jaro Prílepok, Karthikeyan Natesan Ramamurthy, Paul Rosen, Aldo Guzmán-Sáenz, Alessandro Salatiello, Shreyas N. Samaga, Simone Scardapane, Michael T. Schaub, Luca Scofano, Indro Spinelli, Lev Telyatnikov, Quang Truong, Robin Walters, Maosheng Yang, Olga Zaghen, Ghada Zamzmi, Ali Zia, Nina Miolane

CoRR, 2024

Semantically redundant training data removal and deep model classification performance: A study with chest X-rays.

Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, Zhaohui Liang, Zhiyun Xue, Sameer K. Antani

Comput. Medical Imaging Graph., 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, Dmitry B. Goldgof

IEEE Access, 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, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T. Schaub, Petar Velickovic, Bei Wang, Yusu Wang, Guo-Wei Wei, Ghada Zamzmi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Explainable AI (XAI) for Neonatal Pain Assessment via Influence Function Modification.

Md Imran Hossain, Ghada Zamzmi, Peter R. Mouton, Yu Sun, Dmitry B. Goldgof

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Anonymized Identity Tracking: Privacy Preserving Facial Encoding.

Manas Sanjay Pakalapati, Dmitry B. Goldgof, Lawrence O. Hall, Ghada Zamzmi

Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024

Enhancing Concept-Based Explanation with Vision-Language Models.

Md Imran Hossain, Ghada Zamzmi, Peter R. Mouton, Yu Sun, Dmitry B. Goldgof

Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024

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, November, 2023

Can deep adult lung segmentation models generalize to the pediatric population?

Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Zhiyun Xue, Sameer K. Antani

Expert Syst. Appl., November, 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

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, Tim Doster, Tegan Emerson, Gurusankar Gopalakrishnan, Devendra Govil, Vincent P. Grande, Aldo Guzmán-Sáenz, Henry Kvinge, Neal Livesay, Jan Meissner, Soham Mukherjee, Shreyas N. Samaga, Karthikeyan Natesan Ramamurthy, Maneel Reddy Karri, Paul Rosen, Sophia Sanborn, Michael Scholkemper, Robin Walters, Jens Agerberg, Georg Bökman, Sadrodin Barikbin, Claudio Battiloro, Gleb Bazhenov, Guillermo Bernárdez, Aiden Brent, Sergio Escalera, Simone Fiorellino, Dmitrii Gavrilev, Mohammed Hassanin, Paul Häusner, Odin Hoff Gardaa, Abdelwahed Khamis, Manuel Lecha, German Magai, Tatiana Malygina, Pavlo Melnyk, et al.

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, Zhaohui Liang, Zhiyun Xue, Sameer K. Antani

CoRR, 2023

Does image resolution impact chest X-ray based fine-grained Tuberculosis-consistent lesion segmentation?

Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Zhiyun Xue, Sameer K. Antani

CoRR, 2023

Assessing Inter-Annotator Agreement for Medical Image Segmentation.

Feng Yang, Ghada Zamzmi, Sandeep Angara, Sivaramakrishnan Rajaraman, André Aquilina, Zhiyun Xue, Stefan Jäger, Emmanouil Papagiannakis, Sameer K. Antani

IEEE Access, 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, Neal Livesay, Tamal K. Dey, Abraham Rabinowitz, Aiden Brent, Alessandro Salatiello, Alexander Nikitin, Ali Zia, Claudio Battiloro, Dmitrii Gavrilev, Georg Bökman, German Magai, Gleb Bazhenov, Guillermo Bernárdez, Indro Spinelli, Jens Agerberg, Kalyan Varma Nadimpalli, Lev Telyatnikov, Luca Scofano, Lucia Testa, Manuel Lecha, Maosheng Yang, Mohammed Hassanin, Odin Hoff Gardaa, Olga Zaghen, Paul Häusner, Paul Snopoff, Pavlo Melnyk, Rubén Ballester, Sadrodin Barikbin, Sergio Escalera, Simone Fiorellino, Henry Kvinge, Jan Meissner, Karthikeyan Natesan Ramamurthy, Michael Scholkemper, Paul Rosen, Robin Walters, Shreyas N. Samaga, Soham Mukherjee, Sophia Sanborn, Tegan Emerson, Timothy Doster, Tolga Birdal, Vincent P. Grande, Abdelwahed Khamis, Simone Scardapane, Suraj Singh, Tatiana Malygina, Yixiao Yue, Nina Miolane

Proceedings of the Topological, 2023

Machine Learning for Health (ML4H) 2023.

Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Kristen Severson, Mercy Nyamewaa Asiedu, Serina Chang, Bonaventure F. P. Dossou, Qian Huang, Fahad Kamran, Haoran Zhang, Sujay Nagaraj, Luis Oala, Shan Xu, Chinasa T. Okolo, Helen Zhou, Jessica Dafflon, Caleb Ellington, Sarah Jabbour, Hyewon Jeong, Harry Reyes Nieva, Yuzhe Yang, Ghada Zamzmi, Vishwali Mhasawade, Van Truong, Payal Chandak, Matthew Lee, Peniel Argaw, Kyle Heuton, Harvineet Singh, Thomas Hartvigsen

Proceedings of the Machine Learning for Health, 2023

A Comparative Study of Fairness in Medical Machine Learning.

Tochi Oguguo, Ghada Zamzmi, Sivaramakrishnan Rajaraman, Feng Yang, Zhiyun Xue, Sameer K. Antani

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Association Between Chronic Back Pain and Protective Behaviors is Subjective and Context Dependent.

Md Taufeeq Uddin, Ghada Zamzmi, Shaun J. Canavan

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Enhancing Neonatal Pain Assessment Transparency via Explanatory Training Examples Identification.

Md Imran Hossain, Ghada Zamzmi, Peter R. Mouton, Yu Sun, Dmitry B. Goldgof

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

Combinatorial Complexes: Bridging the Gap Between Cell Complexes and Hypergraphs.

Mustafa Hajij, Ghada Zamzmi, Theodore Papamarkou, AIdo Guzman-Saenz, Tolga Birdal, Michael T. Schaub

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

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

IEEE Trans. Affect. Comput., 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

Generalizability of Deep Adult Lung Segmentation Models to the Pediatric Population: A Retrospective Study.

Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Zhiyun Xue, Sameer K. Antani

CoRR, 2022

Deep ensemble learning for segmenting tuberculosis-consistent manifestations in chest radiographs.

Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Peng Guo, Zhiyun Xue, Sameer K. Antani

CoRR, 2022

Higher-Order Attention Networks.

Mustafa Hajij, Ghada Zamzmi, Theodore Papamarkou, Nina Miolane, Aldo Guzmán-Sáenz, Karthikeyan Natesan Ramamurthy

CoRR, 2022

Robust Neonatal Face Detection in Real-world Clinical Settings.

Jacqueline Hausmann, Md Sirajus Salekin, Ghada Zamzmi, Dmitry B. Goldgof, Yu Sun

CoRR, 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

Data Characterization for Reliable AI in Medicine.

Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, Zhiyun Xue, Sameer K. Antani

Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2022

Machine Learning for Health (ML4H) 2022.

Antonio Parziale, Monica Agrawal, Shengpu Tang, Kristen Severson, Luis Oala, Adarsh Subbaswamy, Sayantan Kumar, Elora D. M. Schörverth, Stefan Hegselmann, Helen Zhou, Ghada Zamzmi, Purity Mugambi, Elena Sizikova, Girmaw Abebe Tadesse, Yuyin Zhou, Taylor W. Killian, Haoran Zhang, Fahad Kamran, Andrea Hobby, Mars Huang, Ahmed M. Alaa, Harvineet Singh, Irene Y. Chen, Shalmali Joshi

Proceedings of the Machine Learning for Health, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Open-world active learning for echocardiography view classification.

Ghada Zamzmi, Tochi Oguguo, Sivaramakrishnan Rajaraman, Sameer K. Antani

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

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

Data-Centric AI Requires Rethinking Data Notion.

Mustafa Hajij, Ghada Zamzmi, Karthikeyan Natesan Ramamurthy, Aldo Guzmán-Sáenz

CoRR, 2021

Multi-loss ensemble deep learning for chest X-ray classification.

Sivaramakrishnan Rajaraman, Ghada Zamzmi, 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

CoRR, 2021

Trilateral Attention Network for Real-time Medical Image Segmentation.

Ghada Zamzmi, Vandana Sachdev, Sameer K. Antani

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

Simplicial Complex Representation Learning.

Mustafa Hajij, Ghada Zamzmi, Xuanting Cai

CoRR, 2021

Persistent Homology and Graphs Representation Learning.

Mustafa Hajij, Ghada Zamzmi, Xuanting Cai

CoRR, 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

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

Comput. Biol. Medicine, 2021

Trilateral Attention Network for Real-Time Cardiac Region Segmentation.

Ghada Zamzmi, Sivaramakrishnan Rajaraman, Vandana Sachdev, Sameer K. Antani

IEEE Access, 2021

Pattern Recognition in Vital Signs Using Spectrograms.

Sidharth Srivatsav Sribhashyam, Md Sirajus Salekin, Dmitry B. Goldgof, Ghada Zamzmi, Mark Last, Yu Sun

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 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

Proceedings of the Machine Learning for Health, 2021

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

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Algebraically-Informed Deep Networks (AIDN): A Deep Learning Approach to Represent Algebraic Structures.

Mustafa Hajij, Ghada Zamzmi, Matthew Dawson, Greg Muller

CoRR, 2020

Accounting for Affect in Pain Level Recognition.

Md Taufeeq Uddin, Shaun J. Canavan, Ghada Zamzmi

CoRR, 2020

Cell Complex Neural Networks.

Mustafa Hajij, Kyle Istvan, Ghada Zamzmi

CoRR, 2020

Unified Representation Learning for Efficient Medical Image Analysis.

Ghada Zamzmi, Sivaramakrishnan Rajaraman, Sameer K. Antani

CoRR, 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

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

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

Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020

2019

Convolutional Neural Networks for Neonatal Pain Assessment.

Ghada Zamzmi, Rahul Paul, Md Sirajus Salekin, Dmitry B. Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun

IEEE Trans. Biom. Behav. Identity Sci., 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

CoRR, 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

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Pain Assessment From Facial Expression: Neonatal Convolutional Neural Network (N-CNN).

Ghada Zamzmi, Rahul Paul, Dmitry B. Goldgof, Rangachar Kasturi, Yu Sun

Proceedings of the International Joint Conference on Neural Networks, 2019

Echo Doppler Flow Classification and Goodness Assessment with Convolutional Neural Networks.

Ghada Zamzmi, Li-Yueh Hsu, Wen Li, Vandana Sachdev, Sameer K. Antani

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018

Infants' Pain Recognition Based on Facial Expression: Dynamic Hybrid Descriptions.

Ruicong Zhi, Ghada Zamzmi, Dmitry B. Goldgof, Terri Ashmeade, Tingting Li, Yu Sun

IEICE Trans. Inf. Syst., 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

Neonatal Pain Expression Recognition Using Transfer Learning.

Ghada Zamzmi, Dmitry B. Goldgof, Rangachar Kasturi, Yu Sun

CoRR, 2018

Toward Ubiquitous Assessment of Neonates' Health Condition.

Ghada Zamzmi, Dmitry B. Goldgof, Rangachar Kasturi, Yu Sun

Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

2017

Automated Pain Assessment in Neonates.

Ghada Zamzmi, Chih-Yun Pai, Dmitry B. Goldgof, Rangachar Kasturi, Yu Sun, Terri Ashmeade

Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017

2016

Machine-based Multimodal Pain Assessment Tool for Infants: A Review.

Ghada Zamzmi, Chih-Yun Pai, Dmitry B. Goldgof, Rangachar Kasturi, Yu Sun, Terri Ashmeade

CoRR, 2016

An approach for automated multimodal analysis of infants' pain.

Ghada Zamzmi, Chih-Yun Pai, Dmitry B. Goldgof, Rangachar Kasturi, Terri Ashmeade, Yu Sun

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

Pain assessment in infants: Towards spotting pain expression based on infants' facial strain.

Ghada Zamzmi, Gabriel Ruiz, Dmitry B. Goldgof, Rangachar Kasturi, Yu Sun, Terri Ashmeade

Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015