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2020 – today
- 2025
[e7]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:
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. Lecture Notes in Computer Science 15198, Springer 2025, ISBN 978-3-031-72786-3 [contents]- 2024
- [j12]Jacqueline Hausmann, Md Sirajus Salekin, Ghada Zamzmi, Peter R. Mouton, Stephanie Prescott, Thao Ho, Yu Sun, Dmitry B. Goldgof:
Accurate Neonatal Face Detection for Improved Pain Classification in the Challenging NICU Setting. IEEE Access 12: 49122-49133 (2024) - [j11]Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, Zhaohui Liang, Zhiyun Xue, Sameer K. Antani:
Semantically redundant training data removal and deep model classification performance: A study with chest X-rays. Comput. Medical Imaging Graph. 115: 102379 (2024) - [c26]Manas Sanjay Pakalapati, Dmitry B. Goldgof, Lawrence O. Hall, Ghada Zamzmi:
Anonymized Identity Tracking: Privacy Preserving Facial Encoding. CBMS 2024: 89-93 - [c25]Md Imran Hossain, Ghada Zamzmi, Peter R. Mouton, Yu Sun, Dmitry B. Goldgof:
Enhancing Concept-Based Explanation with Vision-Language Models. CBMS 2024: 219-224 - [c24]Md Imran Hossain, Ghada Zamzmi, Peter R. Mouton, Yu Sun, Dmitry B. Goldgof:
Explainable AI (XAI) for Neonatal Pain Assessment via Influence Function Modification. EMBC 2024: 1-5 - [c23]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:
Position: Topological Deep Learning is the New Frontier for Relational Learning. ICML 2024 - [i35]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:
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains. CoRR abs/2402.02441 (2024) - [i34]Ghada Zamzmi, Kesavan Venkatesh, Brandon Nelson, Smriti Prathapan, Paul H. Yi, Berkman Sahiner, Jana G. Delfino:
Out-of-Distribution Detection and Data Drift Monitoring using Statistical Process Control. CoRR abs/2402.08088 (2024) - [i33]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:
Position Paper: Challenges and Opportunities in Topological Deep Learning. CoRR abs/2402.08871 (2024) - [i32]Lev Telyatnikov, Guillermo Bernárdez, Marco Montagna, Pavlo Vasylenko, Ghada Zamzmi, Mustafa Hajij, Michael T. Schaub, Nina Miolane, Simone Scardapane, Theodore Papamarkou:
TopoBenchmarkX: A Framework for Benchmarking Topological Deep Learning. CoRR abs/2406.06642 (2024) - [i31]Ghada Zamzmi, Adarsh Subbaswamy, Elena Sizikova, Ed Margerrison, Jana G. Delfino, Aldo Badano:
Scorecards for Synthetic Medical Data Evaluation and Reporting. CoRR abs/2406.11143 (2024) - [i30]Elena Sizikova, Andreu Badal, Jana G. Delfino, Miguel A. Lago, Brandon Nelson, Niloufar Saharkhiz, Berkman Sahiner, Ghada Zamzmi, Aldo Badano:
Synthetic Data in Radiological Imaging: Current State and Future Outlook. CoRR abs/2407.01561 (2024) - 2023
- [j10]Feng Yang, Ghada Zamzmi, Sandeep Angara, Sivaramakrishnan Rajaraman, André Aquilina, Zhiyun Xue, Stefan Jäger, Emmanouil Papagiannakis, Sameer K. Antani:
Assessing Inter-Annotator Agreement for Medical Image Segmentation. IEEE Access 11: 21300-21312 (2023) - [j9]Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Zhiyun Xue, Sameer K. Antani:
Can deep adult lung segmentation models generalize to the pediatric population? Expert Syst. Appl. 229(Part A): 120531 (2023) - [j8]Md Taufeeq Uddin, Ghada Zamzmi, Shaun J. Canavan:
Cooperative Learning for Personalized Context-Aware Pain Assessment From Wearable Data. IEEE J. Biomed. Health Informatics 27(11): 5260-5271 (2023) - [c22]Mustafa Hajij, Ghada Zamzmi, Theodore Papamarkou, AIdo Guzman-Saenz, Tolga Birdal, Michael T. Schaub:
Combinatorial Complexes: Bridging the Gap Between Cell Complexes and Hypergraphs. ACSSC 2023: 799-803 - [c21]Md Imran Hossain, Ghada Zamzmi, Peter R. Mouton, Yu Sun, Dmitry B. Goldgof:
Enhancing Neonatal Pain Assessment Transparency via Explanatory Training Examples Identification. CBMS 2023: 311-316 - [c20]Md Taufeeq Uddin, Ghada Zamzmi, Shaun J. Canavan:
Association Between Chronic Back Pain and Protective Behaviors is Subjective and Context Dependent. EMBC 2023: 1-5 - [c19]Tochi Oguguo, Ghada Zamzmi, Sivaramakrishnan Rajaraman, Feng Yang, Zhiyun Xue, Sameer K. Antani:
A Comparative Study of Fairness in Medical Machine Learning. ISBI 2023: 1-5 - [c18]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:
Machine Learning for Health (ML4H) 2023. ML4H@NeurIPS 2023: 1-12 - [c17]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:
ICML 2023 Topological Deep Learning Challenge: Design and Results. TAG-ML 2023: 3-8 - [e6]Islem Rekik, Ehsan Adeli, Sang Hyun Park, Celia Cintas, Ghada Zamzmi:
Predictive Intelligence in Medicine - 6th International Workshop, PRIME 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14277, Springer 2023, ISBN 978-3-031-46004-3 [contents] - [e5]Zhiyun Xue, Sameer K. Antani, Ghada Zamzmi, Feng Yang, Sivaramakrishnan Rajaraman, Sharon Xiaolei Huang, Marius George Linguraru, Zhaohui Liang:
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. Lecture Notes in Computer Science 14307, Springer 2023, ISBN 978-3-031-47196-4 [contents] - [e4]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:
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. Lecture Notes in Computer Science 14393, Springer 2023, ISBN 978-3-031-47400-2 [contents] - [i29]Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Zhiyun Xue, Sameer K. Antani:
Does image resolution impact chest X-ray based fine-grained Tuberculosis-consistent lesion segmentation? CoRR abs/2301.04032 (2023) - [i28]Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, Zhaohui Liang, Zhiyun Xue, Sameer K. Antani:
Semantically Redundant Training Data Removal and Deep Model Classification Performance: A Study with Chest X-rays. CoRR abs/2309.09773 (2023) - [i27]Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, Zhaohui Liang, Zhiyun Xue, Sameer K. Antani:
Uncovering the effects of model initialization on deep model generalization: A study with adult and pediatric Chest X-ray images. CoRR abs/2309.11318 (2023) - [i26]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.:
ICML 2023 Topological Deep Learning Challenge : Design and Results. CoRR abs/2309.15188 (2023) - [i25]Mustafa Hajij, Ghada Zamzmi, Theodore Papamarkou, Aldo Guzmán-Sáenz, Tolga Birdal, Michael T. Schaub:
Combinatorial Complexes: Bridging the Gap Between Cell Complexes and Hypergraphs. CoRR abs/2312.09504 (2023) - 2022
- [j7]Ghada Zamzmi, Sivaramakrishnan Rajaraman, Li-Yueh Hsu, Vandana Sachdev, Sameer K. Antani:
Real-time echocardiography image analysis and quantification of cardiac indices. Medical Image Anal. 80: 102438 (2022) - [j6]Ghada Zamzmi, Chih-Yun Pai, Dmitry B. Goldgof, Rangachar Kasturi, Terri Ashmeade, Yu Sun:
A Comprehensive and Context-Sensitive Neonatal Pain Assessment Using Computer Vision. IEEE Trans. Affect. Comput. 13(1): 28-45 (2022) - [c16]Ghada Zamzmi, Tochi Oguguo, Sivaramakrishnan Rajaraman, Sameer K. Antani:
Open-world active learning for echocardiography view classification. Computer-Aided Diagnosis 2022 - [c15]Md Sirajus Salekin, Ghada Zamzmi, Dmitry B. Goldgof, Peter R. Mouton, Kanwaljeet J. S. Anand, Terri Ashmeade, Stephanie Prescott, Yangxin Huang, Yu Sun:
Attentional Generative Multimodal Network for Neonatal Postoperative Pain Estimation. MICCAI (3) 2022: 749-759 - [c14]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:
Machine Learning for Health (ML4H) 2022. ML4H@NeurIPS 2022: 1-11 - [c13]Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, Zhiyun Xue, Sameer K. Antani:
Data Characterization for Reliable AI in Medicine. RTIP2R 2022: 3-11 - [e3]Ghada Zamzmi, Sameer K. Antani, Ulas Bagci, Marius George Linguraru, Sivaramakrishnan Rajaraman, Zhiyun Xue:
Medical Image Learning with Limited and Noisy Data - First International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13559, Springer 2022, ISBN 978-3-031-16759-1 [contents] - [i24]Arushi Goel, Niveditha Kalavakonda, Nour Karessli, Tejaswi Kasarla, Kathryn Leonard, Boyi Li, Nermin Samet, Ghada Zamzmi:
WiCV 2021: The Eighth Women In Computer Vision Workshop. CoRR abs/2203.05825 (2022) - [i23]Jacqueline Hausmann, Md Sirajus Salekin, Ghada Zamzmi, Dmitry B. Goldgof, Yu Sun:
Robust Neonatal Face Detection in Real-world Clinical Settings. CoRR abs/2204.00655 (2022) - [i22]Mustafa Hajij, Ghada Zamzmi, Theodore Papamarkou, Nina Miolane, Aldo Guzmán-Sáenz, Karthikeyan Natesan Ramamurthy:
Higher-Order Attention Networks. CoRR abs/2206.00606 (2022) - [i21]Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Peng Guo, Zhiyun Xue, Sameer K. Antani:
Deep ensemble learning for segmenting tuberculosis-consistent manifestations in chest radiographs. CoRR abs/2206.06065 (2022) - [i20]Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Zhiyun Xue, Sameer K. Antani:
Generalizability of Deep Adult Lung Segmentation Models to the Pediatric Population: A Retrospective Study. CoRR abs/2211.02475 (2022) - 2021
- [j5]Ghada Zamzmi, Sivaramakrishnan Rajaraman, Vandana Sachdev, Sameer K. Antani:
Trilateral Attention Network for Real-Time Cardiac Region Segmentation. IEEE Access 9: 118205-118214 (2021) - [j4]Md Sirajus Salekin, Ghada Zamzmi, Dmitry B. Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun:
Multimodal spatio-temporal deep learning approach for neonatal postoperative pain assessment. Comput. Biol. Medicine 129: 104150 (2021) - [j3]Ruicong Zhi, Caixia Zhou, Junwei Yu, Tingting Li, Ghada Zamzmi:
Multimodal-Based Stream Integrated Neural Networks for Pain Assessment. IEICE Trans. Inf. Syst. 104-D(12): 2184-2194 (2021) - [c12]Mustafa Hajij, Ghada Zamzmi, Fawwaz Batayneh:
TDA-Net: Fusion of Persistent Homology and Deep Learning Features for COVID-19 Detection From Chest X-Ray Images. EMBC 2021: 4115-4119 - [c11]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:
Machine Learning for Health (ML4H) 2021. ML4H@NeurIPS 2021: 1-12 - [c10]Sidharth Srivatsav Sribhashyam, Md Sirajus Salekin, Dmitry B. Goldgof, Ghada Zamzmi, Mark Last, Yu Sun:
Pattern Recognition in Vital Signs Using Spectrograms. SMC 2021: 1133-1138 - [e2]Mauricio Reyes, Pedro Henriques Abreu, Jaime S. Cardoso, Mustafa Hajij, Ghada Zamzmi, Rahul Paul, Lokendra Thakur:
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. Lecture Notes in Computer Science 12929, Springer 2021, ISBN 978-3-030-87443-8 [contents] - [e1]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:
Machine Learning for Health, ML4H@NeurIPS 2021, 04 December 2021, Virtual Event. Proceedings of Machine Learning Research 158, PMLR 2021 [contents] - [i19]Mustafa Hajij, Ghada Zamzmi, Fawwaz Batayneh:
TDA-Net: Fusion of Persistent Homology and Deep Learning Features for COVID-19 Detection in Chest X-Ray Images. CoRR abs/2101.08398 (2021) - [i18]Mustafa Hajij, Ghada Zamzmi, Xuanting Cai:
Persistent Homology and Graphs Representation Learning. CoRR abs/2102.12926 (2021) - [i17]Mustafa Hajij, Ghada Zamzmi, Xuanting Cai:
Simplicial Complex Representation Learning. CoRR abs/2103.04046 (2021) - [i16]Sivaramakrishnan Rajaraman, Ghada Zamzmi, Les R. Folio, Philip O. Alderson, Sameer K. Antani:
Improved TB classification using bone-suppressed chest radiographs. CoRR abs/2104.04518 (2021) - [i15]Ghada Zamzmi, Vandana Sachdev, Sameer K. Antani:
Trilateral Attention Network for Real-time Medical Image Segmentation. CoRR abs/2106.09201 (2021) - [i14]Sidharth Srivatsav Sribhashyam, Md Sirajus Salekin, Dmitry B. Goldgof, Ghada Zamzmi, Yu Sun:
Pattern Recognition in Vital Signs Using Spectrograms. CoRR abs/2108.03168 (2021) - [i13]Sivaramakrishnan Rajaraman, Ghada Zamzmi, Sameer K. Antani:
Multi-loss ensemble deep learning for chest X-ray classification. CoRR abs/2109.14433 (2021) - [i12]Mustafa Hajij, Ghada Zamzmi, Karthikeyan Natesan Ramamurthy, Aldo Guzmán-Sáenz:
Data-Centric AI Requires Rethinking Data Notion. CoRR abs/2110.02491 (2021) - 2020
- [c9]Md Sirajus Salekin, Ghada Zamzmi, Dmitry B. Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun:
First Investigation into the Use of Deep Learning for Continuous Assessment of Neonatal Postoperative Pain. FG 2020: 415-419 - [c8]Ghada Zamzmi, Li-Yueh Hsu, Wen Li, Vandana Sachdev, Sameer K. Antani:
Fully automated spectral envelope and peak velocity detection from Doppler echocardiography images. Computer-Aided Diagnosis 2020 - [i11]Md Sirajus Salekin, Ghada Zamzmi, Dmitry B. Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun:
First Investigation Into the Use of Deep Learning for Continuous Assessment of Neonatal Postoperative Pain. CoRR abs/2003.10601 (2020) - [i10]Ghada Zamzmi, Sivaramakrishnan Rajaraman, Sameer K. Antani:
Unified Representation Learning for Efficient Medical Image Analysis. CoRR abs/2006.11223 (2020) - [i9]Mustafa Hajij, Kyle Istvan, Ghada Zamzmi:
Cell Complex Neural Networks. CoRR abs/2010.00743 (2020) - [i8]Md Taufeeq Uddin, Shaun J. Canavan, Ghada Zamzmi:
Accounting for Affect in Pain Level Recognition. CoRR abs/2011.07421 (2020) - [i7]Mustafa Hajij, Ghada Zamzmi, Matthew Dawson, Greg Muller:
Algebraically-Informed Deep Networks (AIDN): A Deep Learning Approach to Represent Algebraic Structures. CoRR abs/2012.01141 (2020) - [i6]Md Sirajus Salekin, Ghada Zamzmi, Dmitry B. Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun:
Multimodal Spatio-Temporal Deep Learning Approach for Neonatal Postoperative Pain Assessment. CoRR abs/2012.02175 (2020)
2010 – 2019
- 2019
- [j2]Ghada Zamzmi, Rahul Paul, Md Sirajus Salekin, Dmitry B. Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun:
Convolutional Neural Networks for Neonatal Pain Assessment. IEEE Trans. Biom. Behav. Identity Sci. 1(3): 192-200 (2019) - [c7]Ghada Zamzmi, Li-Yueh Hsu, Wen Li, Vandana Sachdev, Sameer K. Antani:
Echo Doppler Flow Classification and Goodness Assessment with Convolutional Neural Networks. ICMLA 2019: 1744-1749 - [c6]Ghada Zamzmi, Rahul Paul, Dmitry B. Goldgof, Rangachar Kasturi, Yu Sun:
Pain Assessment From Facial Expression: Neonatal Convolutional Neural Network (N-CNN). IJCNN 2019: 1-7 - [c5]Md Sirajus Salekin, Ghada Zamzmi, Dmitry B. Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun:
Multi-Channel Neural Network for Assessing Neonatal Pain from Videos. SMC 2019: 1551-1556 - [i5]Md Sirajus Salekin, Ghada Zamzmi, Dmitry B. Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun:
Multi-Channel Neural Network for Assessing Neonatal Pain from Videos. CoRR abs/1908.09254 (2019) - [i4]Md Sirajus Salekin, Ghada Zamzmi, Rahul Paul, Dmitry B. Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun:
Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound. CoRR abs/1909.02543 (2019) - 2018
- [j1]Ruicong Zhi, Ghada Zamzmi, Dmitry B. Goldgof, Terri Ashmeade, Tingting Li, Yu Sun:
Infants' Pain Recognition Based on Facial Expression: Dynamic Hybrid Descriptions. IEICE Trans. Inf. Syst. 101-D(7): 1860-1869 (2018) - [c4]Ghada Zamzmi, Dmitry B. Goldgof, Rangachar Kasturi, Yu Sun:
Toward Ubiquitous Assessment of Neonates' Health Condition. UbiComp/ISWC Adjunct 2018: 952-955 - [i3]Ghada Zamzmi, Dmitry B. Goldgof, Rangachar Kasturi, Yu Sun:
Neonatal Pain Expression Recognition Using Transfer Learning. CoRR abs/1807.01631 (2018) - [i2]Ghada Zamzmi, Gabriel Ruiz, Matthew Shreve, Dmitry B. Goldgof, Rangachar Kasturi, Sudeep Sarkar:
A method to Suppress Facial Expression in Posed and Spontaneous Videos. CoRR abs/1810.02401 (2018) - 2017
- [c3]Ghada Zamzmi, Chih-Yun Pai, Dmitry B. Goldgof, Rangachar Kasturi, Yu Sun, Terri Ashmeade:
Automated Pain Assessment in Neonates. SCIA (2) 2017: 350-361 - 2016
- [c2]Ghada Zamzmi, Chih-Yun Pai, Dmitry B. Goldgof, Rangachar Kasturi, Terri Ashmeade, Yu Sun:
An approach for automated multimodal analysis of infants' pain. ICPR 2016: 4148-4153 - [i1]Ghada Zamzmi, Chih-Yun Pai, Dmitry B. Goldgof, Rangachar Kasturi, Yu Sun, Terri Ashmeade:
Machine-based Multimodal Pain Assessment Tool for Infants: A Review. CoRR abs/1607.00331 (2016) - 2015
- [c1]Ghada Zamzmi, Gabriel Ruiz, Dmitry B. Goldgof, Rangachar Kasturi, Yu Sun, Terri Ashmeade:
Pain assessment in infants: Towards spotting pain expression based on infants' facial strain. FG 2015: 1-5
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last updated on 2025-01-21 00:23 CET by the dblp team
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