Michael A. Jacobs

30 papers B 2Journal 19Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Generative Counterfactual Augmentation for Bias Mitigation. ICCVW Jason Uwaeze, Pranav Kulkarni, Vladimir Braverman, Michael A. Jacobs, Vishwa S. Parekh
2025	J	`jnl`	Towards Fair Medical AI: Adversarial Debiasing of 3D CT Foundation Embeddings. CoRR Guangyao Zheng, Michael A. Jacobs, Vladimir Braverman, Vishwa S. Parekh
2024	J	`jnl`	A collective AI via lifelong learning and sharing at the edge. Nat. Mac. Intell. Andrea Soltoggio, Eseoghene Ben-Iwhiwhu, Vladimir Braverman, Eric Eaton, Benjamin Epstein, Yunhao Ge, Lucy Halperin, Jonathan P. How, Laurent Itti, Michael A. Jacobs, Pavan Kantharaju, Long Le, Steven Lee, Xinran Liu, Sildomar T. Monteiro, David Musliner, Saptarshi Nath, Priyadarshini Panda, Christos Peridis, Hamed Pirsiavash, Vishwa S. Parekh, Kaushik Roy, Shahaf S. Shperberg, Hava T. Siegelmann, Peter Stone, Kyle Vedder, Jingfeng Wu, Lin Yang, Guangyao Zheng, Soheil Kolouri
2024	J	`jnl`	Demographic Predictability in 3D CT Foundation Embeddings. CoRR Guangyao Zheng, Michael A. Jacobs, Vishwa S. Parekh
2024	J	`jnl`	Predicting Hypersonic Glide Vehicle Behavior With Stochastic Grammars. IEEE Trans. Aerosp. Electron. Syst. Emily R. Bartusiak, Michael A. Jacobs, Moses W. Chan, Mary L. Comer, Edward J. Delp
2024	—	`conf`	Towards a Collective Medical Imaging AI: Enabling Continual Learning from Peers. MIDL Guangyao Zheng, Vladimir Braverman, Jeffrey Leal, Steven Rowe, Doris G. Leung, Michael A. Jacobs, Vishwa Sanjay Parekh
2023	J	`jnl`	A framework for dynamically training and adapting deep reinforcement learning models to different, low-compute, and continuously changing radiology deployment environments. CoRR Guangyao Zheng, Shuhao Lai, Vladimir Braverman, Michael A. Jacobs, Vishwa S. Parekh
2023	J	`jnl`	Asynchronous Decentralized Federated Lifelong Learning for Landmark Localization in Medical Imaging. CoRR Guangyao Zheng, Michael A. Jacobs, Vladimir Braverman, Vishwa S. Parekh
2023	J	`jnl`	Multi-environment lifelong deep reinforcement learning for medical imaging. CoRR Guangyao Zheng, Shuhao Lai, Vladimir Braverman, Michael A. Jacobs, Vishwa S. Parekh
2023	—	`conf`	Selective experience replay compression using coresets for lifelong deep reinforcement learning in medical imaging. MIDL Guangyao Zheng, Samson Zhou, Vladimir Braverman, Michael A. Jacobs, Vishwa Sanjay Parekh
2023	J	`jnl`	Selective experience replay compression using coresets for lifelong deep reinforcement learning in medical imaging. CoRR Guangyao Zheng, Samson Zhou, Vladimir Braverman, Michael A. Jacobs, Vishwa S. Parekh
2021	J	`jnl`	Cross-Domain Federated Learning in Medical Imaging. CoRR Vishwa S. Parekh, Shuhao Lai, Vladimir Braverman, Jeff Leal, Steven Rowe, Jay J. Pillai, Michael A. Jacobs
2020	—	`conf`	Multitask radiological modality invariant landmark localization using deep reinforcement learning. MIDL Vishwa S. Parekh, Alex E. Bocchieri, Vladimir Braverman, Michael A. Jacobs
2019	J	`jnl`	Multiparametric Deep Learning Tissue Signatures for Muscular Dystrophy: Preliminary Results. CoRR Alex E. Bocchieri, Vishwa S. Parekh, Kathryn R. Wagner, Shivani Ahlawat, Vladimir Braverman, Doris G. Leung, Michael A. Jacobs
2019	J	`jnl`	Multiparametric Deep Learning and Radiomics for Tumor Grading and Treatment Response Assessment of Brain Cancer: Preliminary Results. CoRR Vishwa S. Parekh, John Laterra, Chetan Bettegowda, Alex E. Bocchieri, Jay J. Pillai, Michael A. Jacobs
2019	—	`conf`	Radiomic Synthesis Using Deep Convolutional Neural Networks. ISBI Vishwa S. Parekh, Michael A. Jacobs
2019	J	`jnl`	Tumor Connectomics: Mapping the intra-tumoral complex interaction network. CoRR Vishwa S. Parekh, Michael A. Jacobs
2018	J	`jnl`	Advanced machine learning informatics modeling using clinical and radiological imaging metrics for characterizing breast tumor characteristics with the OncotypeDX gene array. CoRR Michael A. Jacobs, Christopher Umbricht, Vishwa S. Parekh, Riham El Khouli, Leslie Cope, Katarzyna J. Macura, Susan C. Harvey, Antonio C. Wolff
2018	J	`jnl`	DreamNLP: Novel NLP System for Clinical Report Metadata Extraction using Count Sketch Data Streaming Algorithm: Preliminary Results. CoRR Sanghyun Choi, Nikita Ivkin, Vladimir Braverman, Michael A. Jacobs
2018	J	`jnl`	MPRAD: A Multiparametric Radiomics Framework. CoRR Vishwa S. Parekh, Michael A. Jacobs
2018	J	`jnl`	Multiparametric Deep Learning Tissue Signatures for a Radiological Biomarker of Breast Cancer: Preliminary Results. CoRR Vishwa S. Parekh, Katarzyna J. Macura, Susan C. Harvey, Ihab Kamel, Riham El Khouli, David A. Bluemke, Michael A. Jacobs
2018	J	`jnl`	Radiomic Synthesis Using Deep Convolutional Neural Networks. CoRR Vishwa S. Parekh, Michael A. Jacobs
2016	—	`conf`	A multidimensional data visualization and clustering method: Consensus similarity mapping. ISBI Vishwa S. Parekh, Michael A. Jacobs
2016	J	`jnl`	Unsupervised Non Linear Dimensionality Reduction Machine Learning methods applied to Multiparametric MRI in cerebral ischemia: Preliminary Results. CoRR Vishwa S. Parekh, Jeremy R. Jacobs, Michael A. Jacobs
2014	B	`conf`	Unsupervised nonlinear dimensionality reduction machine learning methods applied to multiparametric MRI in cerebral ischemia: preliminary results. Image Processing Vishwa S. Parekh, Jeremy R. Jacobs, Michael A. Jacobs
2011	—	`conf`	Finding the Optimal Compression Level for Strain-Encoded (SENC) Breast MRI; Simulations and Phantom Experiments. MICCAI (1) Ahmed A. Harouni, Michael A. Jacobs, Nael F. Osman
2003	—	`conf`	An Alternating-Constraints Algorithm for Volume-Preserving Non-rigid Registration of Contrast-Enhanced MR Breast Images. WBIR Torsten Rohlfing, Calvin R. Maurer Jr., David A. Bluemke, Michael A. Jacobs
2003	J	`jnl`	Volume-Preserving Non-Rigid Registration of MR Breast Images Using Free-Form Deformation with an Incompressibility Constraint. IEEE Trans. Medical Imaging Torsten Rohlfing, Calvin R. Maurer Jr., David A. Bluemke, Michael A. Jacobs
2003	—	`conf`	Volumenerhaltende elastische Registrierung. Evaluierung mit klinischen MR-Mammographien. Bildverarbeitung für die Medizin Torsten Rohlfing, Calvin R. Maurer Jr., David A. Bluemke, Michael A. Jacobs
2000	B	`conf`	Boundary-based warping of brain MR images. Image Processing Amir Ghanei, Hamid Soltanian-Zadeh, Michael A. Jacobs