Ghada Zamzmi

89 papers A* 1B 9C 1Misc 1Journal 54Unranked 15
YearRankTypeTitle / Venue / Authors
2026 — ed.
Bridging Regulatory Science and Medical Imaging Evaluation; and Distributed, Collaborative, and Federated Learning - First International Workshop, BRIDGE 2025, and 6th International Workshop, DeCaF 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23 and September 27, 2025, Proceedings
BRIDGE/DeCaF@MICCAI
Ghada Zamzmi, Annika Reinke, Ravi Samala, Meirui Jiang, Xiaoxiao Li, Holger Roth, Mariia Sidulova, Thijs Kooi, Shadi Albarqouni, Spyridon Bakas, Nicola Rieke
2025 — ed.
Ethics and Fairness in Medical Imaging - Second International Workshop on Fairness of AI in Medical Imaging, FAIMI 2024, and Third International Workshop on Ethical and Philosophical Issues in Medical Imaging, EPIMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6-10, 2024, Proceedings
FAIMI/EPIMI@MICCAI
Esther Puyol-Antón, Ghada Zamzmi, Aasa Feragen, Andrew P. King, Veronika Cheplygina, Melanie Ganz-Benjaminsen, Enzo Ferrante, Ben Glocker, Eike Petersen, John S. H. Baxter, Islem Rekik, Roy Eagleson
2025 J jnl
Evaluating Explainability: A Framework for Systematic Assessment and Reporting of Explainable AI Features.
CoRR
Miguel A. Lago, Ghada Zamzmi, Brandon Eich, Jana G. Delfino
2025 J jnl
Explainable AI for Medical Data: Current Methods, Limitations, and Future Directions.
ACM Comput. Surv.
Md Imran Hossain, Ghada Zamzmi, Peter R. Mouton, Md Sirajus Salekin, Yu Sun, Dmitry B. Goldgof
2025 — conf
Forecasting Changes in the Data Characteristics of AI Models.
ISBI
Elly Konjkav, Ghada Zamzmi, Jana G. Delfino
2025 J jnl
HistoART: Histopathology Artifact Detection and Reporting Tool.
CoRR
Seyed Kahaki, Alexander R. Webber, Ghada Zamzmi, Adarsh Subbaswamy, Rucha Deshpande, Aldo Badano
2025 J jnl
Knowledge-based anomaly detection for identifying network-induced shape artifacts.
CoRR
Rucha Deshpande, Tahsin Rahman, Miguel A. Lago, Adarsh Subbaswamy, Jana G. Delfino, Ghada Zamzmi, Yee Lam Elim Thompson, Aldo Badano, Seyed Kahaki
2025 J jnl
Out-of-Distribution Detection and Radiological Data Monitoring Using Statistical Process Control.
J. Imaging Inform. Medicine
Ghada Zamzmi, Kesavan Venkatesh, Brandon Nelson, Smriti Prathapan, Paul H. Yi, Berkman Sahiner, Jana G. Delfino
2025 J jnl
TopoBench: A Framework for Benchmarking Topological Deep Learning.
J. Data-centric Mach. Learn. Res.
Lev Telyatnikov, Guillermo Bernárdez, Marco Montagna, Mustafa Hajij, Martin Carrasco, Pavlo Vasylenko, Mathilde Papillon, Ghada Zamzmi, Michael T. Schaub, Jonas Verhellen, Pavel Snopov, Bertran Miquel-Oliver, Manel Gil-Sorribes, Alexis Molina, Victor Guallar, Theodore Long, Julian Suk, Patryk Rygiel, Alexander V. Nikitin, Giordan Escalona, Michael Banf, Dominik Filipiak, Liliya Imasheva, Max Schattauer, Alvaro L. Martinez, Halley Fritze, Marissa Masden, Valentina Sánchez, Manuel Lecha, Andrea Cavallo, Claudio Battiloro, Matthew Piekenbrock, Mauricio Tec, George Dasoulas, Nina Miolane, Simone Scardapane, Theodore Papamarkou
2024 J jnl
Accurate Neonatal Face Detection for Improved Pain Classification in the Challenging NICU Setting.
IEEE Access
Jacqueline Hausmann, Md Sirajus Salekin, Ghada Zamzmi, Peter R. Mouton, Stephanie Prescott, Thao Ho, Yu Sun, Dmitry B. Goldgof
2024 B conf
Anonymized Identity Tracking: Privacy Preserving Facial Encoding.
CBMS
Manas Sanjay Pakalapati, Dmitry B. Goldgof, Lawrence O. Hall, Ghada Zamzmi
2024 B conf
Enhancing Concept-Based Explanation with Vision-Language Models.
CBMS
Md Imran Hossain, Ghada Zamzmi, Peter R. Mouton, Yu Sun, Dmitry B. Goldgof
2024 — conf
Explainable AI (XAI) for Neonatal Pain Assessment via Influence Function Modification.
EMBC
Md Imran Hossain, Ghada Zamzmi, Peter R. Mouton, Yu Sun, Dmitry B. Goldgof
2024 J jnl
Out-of-Distribution Detection and Data Drift Monitoring using Statistical Process Control.
CoRR
Ghada Zamzmi, Kesavan Venkatesh, Brandon Nelson, Smriti Prathapan, Paul H. Yi, Berkman Sahiner, Jana G. Delfino
2024 J jnl
Position Paper: Challenges and Opportunities in Topological Deep Learning.
CoRR
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
2024 A* conf
Position: Topological Deep Learning is the New Frontier for Relational Learning.
ICML
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
2024 J jnl
Scorecards for Synthetic Medical Data Evaluation and Reporting.
CoRR
Ghada Zamzmi, Adarsh Subbaswamy, Elena Sizikova, Ed Margerrison, Jana G. Delfino, Aldo Badano
2024 J jnl
Semantically redundant training data removal and deep model classification performance: A study with chest X-rays.
Comput. Medical Imaging Graph.
Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, Zhaohui Liang, Zhiyun Xue, Sameer K. Antani
2024 J jnl
Synthetic Data in Radiological Imaging: Current State and Future Outlook.
CoRR
Elena Sizikova, Andreu Badal, Jana G. Delfino, Miguel A. Lago, Brandon Nelson, Niloufar Saharkhiz, Berkman Sahiner, Ghada Zamzmi, Aldo Badano
2024 J jnl
TopoBenchmarkX: A Framework for Benchmarking Topological Deep Learning.
CoRR
Lev Telyatnikov, Guillermo Bernárdez, Marco Montagna, Pavlo Vasylenko, Ghada Zamzmi, Mustafa Hajij, Michael T. Schaub, Nina Miolane, Simone Scardapane, Theodore Papamarkou
2024 J jnl
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains.
CoRR
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
2024 J jnl
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains.
J. Mach. Learn. Res.
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
2023 — conf
A Comparative Study of Fairness in Medical Machine Learning.
ISBI
Tochi Oguguo, Ghada Zamzmi, Sivaramakrishnan Rajaraman, Feng Yang, Zhiyun Xue, Sameer K. Antani
2023 J jnl
Assessing Inter-Annotator Agreement for Medical Image Segmentation.
IEEE Access
Feng Yang, Ghada Zamzmi, Sandeep Angara, Sivaramakrishnan Rajaraman, André Aquilina, Zhiyun Xue, Stefan Jäger, Emmanouil Papagiannakis, Sameer K. Antani
2023 — conf
Association Between Chronic Back Pain and Protective Behaviors is Subjective and Context Dependent.
EMBC
Md Taufeeq Uddin, Ghada Zamzmi, Shaun J. Canavan
2023 J jnl
Can deep adult lung segmentation models generalize to the pediatric population?
Expert Syst. Appl.
Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Zhiyun Xue, Sameer K. Antani
2023 Misc conf
Combinatorial Complexes: Bridging the Gap Between Cell Complexes and Hypergraphs.
ACSSC
Mustafa Hajij, Ghada Zamzmi, Theodore Papamarkou, AIdo Guzman-Saenz, Tolga Birdal, Michael T. Schaub
2023 J jnl
Combinatorial Complexes: Bridging the Gap Between Cell Complexes and Hypergraphs.
CoRR
Mustafa Hajij, Ghada Zamzmi, Theodore Papamarkou, Aldo Guzmán-Sáenz, Tolga Birdal, Michael T. Schaub
2023 J jnl
Cooperative Learning for Personalized Context-Aware Pain Assessment From Wearable Data.
IEEE J. Biomed. Health Informatics
Md Taufeeq Uddin, Ghada Zamzmi, Shaun J. Canavan
2023 J jnl
Does image resolution impact chest X-ray based fine-grained Tuberculosis-consistent lesion segmentation?
CoRR
Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Zhiyun Xue, Sameer K. Antani
2023 B conf
Enhancing Neonatal Pain Assessment Transparency via Explanatory Training Examples Identification.
CBMS
Md Imran Hossain, Ghada Zamzmi, Peter R. Mouton, Yu Sun, Dmitry B. Goldgof
2023 J jnl
ICML 2023 Topological Deep Learning Challenge : Design and Results.
CoRR
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.
2023 — conf
ICML 2023 Topological Deep Learning Challenge: Design and Results.
TAG-ML
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
2023 — conf
Machine Learning for Health (ML4H) 2023.
ML4H@NeurIPS
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 N. Argaw, Kyle Heuton, Harvineet Singh, Thomas Hartvigsen
2023 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - ISIC 2023, Care-AI 2023, MedAGI 2023, DeCaF 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings
ISIC/Care-AI/MedAGI/DeCaF@MICCAI
M. Emre Celebi, Md Sirajus Salekin, Hyunwoo J. Kim, Shadi Albarqouni, Catarina Barata, Allan Halpern, Philipp Tschandl, Marc Combalia, Yuan Liu, Ghada Zamzmi, Joshua Levy, Huzefa Rangwala, Annika Reinke, Diya Wynn, Bennett A. Landman, Won-Ki Jeong, Yiqing Shen, Zhongying Deng, Spyridon Bakas, Xiaoxiao Li, Chen Qin, Nicola Rieke, Holger Roth, Daguang Xu
2023 — ed.
Medical Image Learning with Limited and Noisy Data - Second International Workshop, MILLanD 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings
MILLanD@MICCAI
Zhiyun Xue, Sameer K. Antani, Ghada Zamzmi, Feng Yang, Sivaramakrishnan Rajaraman, Sharon Xiaolei Huang, Marius George Linguraru, Zhaohui Liang
2023 — ed.
Predictive Intelligence in Medicine - 6th International Workshop, PRIME 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings
PRIME@MICCAI
Islem Rekik, Ehsan Adeli, Sang Hyun Park, Celia Cintas, Ghada Zamzmi
2023 J jnl
Semantically Redundant Training Data Removal and Deep Model Classification Performance: A Study with Chest X-rays.
CoRR
Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, Zhaohui Liang, Zhiyun Xue, Sameer K. Antani
2023 J jnl
Uncovering the effects of model initialization on deep model generalization: A study with adult and pediatric Chest X-ray images.
CoRR
Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, Zhaohui Liang, Zhiyun Xue, Sameer K. Antani
2022 J jnl
A Comprehensive and Context-Sensitive Neonatal Pain Assessment Using Computer Vision.
IEEE Trans. Affect. Comput.
Ghada Zamzmi, Chih-Yun Pai, Dmitry B. Goldgof, Rangachar Kasturi, Terri Ashmeade, Yu Sun
2022 — conf
Attentional Generative Multimodal Network for Neonatal Postoperative Pain Estimation.
MICCAI (3)
Md Sirajus Salekin, Ghada Zamzmi, Dmitry B. Goldgof, Peter R. Mouton, Kanwaljeet J. S. Anand, Terri Ashmeade, Stephanie Prescott, Yangxin Huang, Yu Sun
2022 — conf
Data Characterization for Reliable AI in Medicine.
RTIP2R
Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, Zhiyun Xue, Sameer K. Antani
2022 J jnl
Deep ensemble learning for segmenting tuberculosis-consistent manifestations in chest radiographs.
CoRR
Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Peng Guo, Zhiyun Xue, Sameer K. Antani
2022 J jnl
Generalizability of Deep Adult Lung Segmentation Models to the Pediatric Population: A Retrospective Study.
CoRR
Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Zhiyun Xue, Sameer K. Antani
2022 J jnl
Higher-Order Attention Networks.
CoRR
Mustafa Hajij, Ghada Zamzmi, Theodore Papamarkou, Nina Miolane, Aldo Guzmán-Sáenz, Karthikeyan Natesan Ramamurthy
2022 — conf
Machine Learning for Health (ML4H) 2022.
ML4H@NeurIPS
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
2022 — ed.
Medical Image Learning with Limited and Noisy Data - First International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
MILLanD@MICCAI
Ghada Zamzmi, Sameer K. Antani, Ulas Bagci, Marius George Linguraru, Sivaramakrishnan Rajaraman, Zhiyun Xue
2022 — conf
Open-world active learning for echocardiography view classification.
Computer-Aided Diagnosis
Ghada Zamzmi, Tochi Oguguo, Sivaramakrishnan Rajaraman, Sameer K. Antani
2022 J jnl
Real-time echocardiography image analysis and quantification of cardiac indices.
Medical Image Anal.
Ghada Zamzmi, Sivaramakrishnan Rajaraman, Li-Yueh Hsu, Vandana Sachdev, Sameer K. Antani
2022 J jnl
Robust Neonatal Face Detection in Real-world Clinical Settings.
CoRR
Jacqueline Hausmann, Md Sirajus Salekin, Ghada Zamzmi, Dmitry B. Goldgof, Yu Sun
2022 J jnl
WiCV 2021: The Eighth Women In Computer Vision Workshop.
CoRR
Arushi Goel, Niveditha Kalavakonda, Nour Karessli, Tejaswi Kasarla, Kathryn Leonard, Boyi Li, Nermin Samet, Ghada Zamzmi
2021 J jnl
Data-Centric AI Requires Rethinking Data Notion.
CoRR
Mustafa Hajij, Ghada Zamzmi, Karthikeyan Natesan Ramamurthy, Aldo Guzmán-Sáenz
2021 J jnl
Improved TB classification using bone-suppressed chest radiographs.
CoRR
Sivaramakrishnan Rajaraman, Ghada Zamzmi, Les R. Folio, Philip O. Alderson, Sameer K. Antani
2021 — ed.
Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data - 4th International Workshop, iMIMIC 2021, and 1st International Workshop, TDA4MedicalData 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings
iMIMIC/TDA4MedicalData@MICCAI
Mauricio Reyes, Pedro Henriques Abreu, Jaime S. Cardoso, Mustafa Hajij, Ghada Zamzmi, Rahul Paul, Lokendra Thakur
2021 — conf
Machine Learning for Health (ML4H) 2021.
ML4H@NeurIPS
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
2021 — ed.
Machine Learning for Health, ML4H@NeurIPS 2021, 04 December 2021, Virtual Event.
ML4H@NeurIPS
Subhrajit Roy, Stephen Pfohl, Emma Rocheteau, Girmaw Abebe Tadesse, Luis Oala, Fabian Falck, Yuyin Zhou, Liyue Shen, Ghada Zamzmi, Purity Mugambi, Ayah Zirikly, Matthew B. A. McDermott, Emily Alsentzer
2021 J jnl
Multi-loss ensemble deep learning for chest X-ray classification.
CoRR
Sivaramakrishnan Rajaraman, Ghada Zamzmi, Sameer K. Antani
2021 J jnl
Multimodal spatio-temporal deep learning approach for neonatal postoperative pain assessment.
Comput. Biol. Medicine
Md Sirajus Salekin, Ghada Zamzmi, Dmitry B. Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun
2021 J jnl
Multimodal-Based Stream Integrated Neural Networks for Pain Assessment.
IEICE Trans. Inf. Syst.
Ruicong Zhi, Caixia Zhou, Junwei Yu, Tingting Li, Ghada Zamzmi
2021 B conf
Pattern Recognition in Vital Signs Using Spectrograms.
SMC
Sidharth Srivatsav Sribhashyam, Md Sirajus Salekin, Dmitry B. Goldgof, Ghada Zamzmi, Mark Last, Yu Sun
2021 J jnl
Pattern Recognition in Vital Signs Using Spectrograms.
CoRR
Sidharth Srivatsav Sribhashyam, Md Sirajus Salekin, Dmitry B. Goldgof, Ghada Zamzmi, Yu Sun
2021 J jnl
Persistent Homology and Graphs Representation Learning.
CoRR
Mustafa Hajij, Ghada Zamzmi, Xuanting Cai
2021 J jnl
Simplicial Complex Representation Learning.
CoRR
Mustafa Hajij, Ghada Zamzmi, Xuanting Cai
2021 — conf
TDA-Net: Fusion of Persistent Homology and Deep Learning Features for COVID-19 Detection From Chest X-Ray Images.
EMBC
Mustafa Hajij, Ghada Zamzmi, Fawwaz Batayneh
2021 J jnl
TDA-Net: Fusion of Persistent Homology and Deep Learning Features for COVID-19 Detection in Chest X-Ray Images.
CoRR
Mustafa Hajij, Ghada Zamzmi, Fawwaz Batayneh
2021 J jnl
Trilateral Attention Network for Real-Time Cardiac Region Segmentation.
IEEE Access
Ghada Zamzmi, Sivaramakrishnan Rajaraman, Vandana Sachdev, Sameer K. Antani
2021 J jnl
Trilateral Attention Network for Real-time Medical Image Segmentation.
CoRR
Ghada Zamzmi, Vandana Sachdev, Sameer K. Antani
2020 J jnl
Accounting for Affect in Pain Level Recognition.
CoRR
Md Taufeeq Uddin, Shaun J. Canavan, Ghada Zamzmi
2020 J jnl
Algebraically-Informed Deep Networks (AIDN): A Deep Learning Approach to Represent Algebraic Structures.
CoRR
Mustafa Hajij, Ghada Zamzmi, Matthew Dawson, Greg Muller
2020 J jnl
Cell Complex Neural Networks.
CoRR
Mustafa Hajij, Kyle Istvan, Ghada Zamzmi
2020 J jnl
First Investigation Into the Use of Deep Learning for Continuous Assessment of Neonatal Postoperative Pain.
CoRR
Md Sirajus Salekin, Ghada Zamzmi, Dmitry B. Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun
2020 B conf
First Investigation into the Use of Deep Learning for Continuous Assessment of Neonatal Postoperative Pain.
FG
Md Sirajus Salekin, Ghada Zamzmi, Dmitry B. Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun
2020 — conf
Fully automated spectral envelope and peak velocity detection from Doppler echocardiography images.
Computer-Aided Diagnosis
Ghada Zamzmi, Li-Yueh Hsu, Wen Li, Vandana Sachdev, Sameer K. Antani
2020 J jnl
Multimodal Spatio-Temporal Deep Learning Approach for Neonatal Postoperative Pain Assessment.
CoRR
Md Sirajus Salekin, Ghada Zamzmi, Dmitry B. Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun
2020 J jnl
Unified Representation Learning for Efficient Medical Image Analysis.
CoRR
Ghada Zamzmi, Sivaramakrishnan Rajaraman, Sameer K. Antani
2019 J jnl
Convolutional Neural Networks for Neonatal Pain Assessment.
IEEE Trans. Biom. Behav. Identity Sci.
Ghada Zamzmi, Rahul Paul, Md Sirajus Salekin, Dmitry B. Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun
2019 C conf
Echo Doppler Flow Classification and Goodness Assessment with Convolutional Neural Networks.
ICMLA
Ghada Zamzmi, Li-Yueh Hsu, Wen Li, Vandana Sachdev, Sameer K. Antani
2019 J jnl
Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound.
CoRR
Md Sirajus Salekin, Ghada Zamzmi, Rahul Paul, Dmitry B. Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun
2019 B conf
Multi-Channel Neural Network for Assessing Neonatal Pain from Videos.
SMC
Md Sirajus Salekin, Ghada Zamzmi, Dmitry B. Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun
2019 J jnl
Multi-Channel Neural Network for Assessing Neonatal Pain from Videos.
CoRR
Md Sirajus Salekin, Ghada Zamzmi, Dmitry B. Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun
2019 B conf
Pain Assessment From Facial Expression: Neonatal Convolutional Neural Network (N-CNN).
IJCNN
Ghada Zamzmi, Rahul Paul, Dmitry B. Goldgof, Rangachar Kasturi, Yu Sun
2018 J jnl
A method to Suppress Facial Expression in Posed and Spontaneous Videos.
CoRR
Ghada Zamzmi, Gabriel Ruiz, Matthew Shreve, Dmitry B. Goldgof, Rangachar Kasturi, Sudeep Sarkar
2018 J jnl
Infants' Pain Recognition Based on Facial Expression: Dynamic Hybrid Descriptions.
IEICE Trans. Inf. Syst.
Ruicong Zhi, Ghada Zamzmi, Dmitry B. Goldgof, Terri Ashmeade, Tingting Li, Yu Sun
2018 J jnl
Neonatal Pain Expression Recognition Using Transfer Learning.
CoRR
Ghada Zamzmi, Dmitry B. Goldgof, Rangachar Kasturi, Yu Sun
2018 — conf
Toward Ubiquitous Assessment of Neonates' Health Condition.
UbiComp/ISWC Adjunct
Ghada Zamzmi, Dmitry B. Goldgof, Rangachar Kasturi, Yu Sun
2017 — conf
Automated Pain Assessment in Neonates.
SCIA (2)
Ghada Zamzmi, Chih-Yun Pai, Dmitry B. Goldgof, Rangachar Kasturi, Yu Sun, Terri Ashmeade
2016 B conf
An approach for automated multimodal analysis of infants' pain.
ICPR
Ghada Zamzmi, Chih-Yun Pai, Dmitry B. Goldgof, Rangachar Kasturi, Terri Ashmeade, Yu Sun
2016 J jnl
Machine-based Multimodal Pain Assessment Tool for Infants: A Review.
CoRR
Ghada Zamzmi, Chih-Yun Pai, Dmitry B. Goldgof, Rangachar Kasturi, Yu Sun, Terri Ashmeade
2015 B conf
Pain assessment in infants: Towards spotting pain expression based on infants' facial strain.
FG
Ghada Zamzmi, Gabriel Ruiz, Dmitry B. Goldgof, Rangachar Kasturi, Yu Sun, Terri Ashmeade