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Publication search results
found 303 matches
- 2024
- Khaled Saab, Siyi Tang, Mohamed Taha, Christopher Lee-Messer, Christopher Ré, Daniel L. Rubin:
Towards trustworthy seizure onset detection using workflow notes. npj Digit. Medicine 7(1) (2024) - Nandita Bhaskhar, Daniel L. Rubin, Christopher Lee-Messer:
An Explainable and Actionable Mistrust Scoring Framework for Model Monitoring. IEEE Trans. Artif. Intell. 5(4): 1473-1485 (2024) - Hannah R. Lawrence, Renee A. Schneider, Susan B. Rubin, Maja J. Mataric, Daniel J. McDuff, Megan Jones Bell:
The opportunities and risks of large language models in mental health. CoRR abs/2403.14814 (2024) - 2023
- Okyaz Eminaga, Mahmoud Abbas, Jeanne Shen, Mark A. Laurie, James D. Brooks, Joseph C. Liao, Daniel L. Rubin:
PlexusNet: A neural network architectural concept for medical image classification. Comput. Biol. Medicine 154: 106594 (2023) - Nandita Bhaskhar, Wui Ip, Jonathan H. Chen, Daniel L. Rubin:
Clinical outcome prediction using observational supervision with electronic health records and audit logs. J. Biomed. Informatics 147: 104522 (2023) - Jonathan Timcheck, Sumit Bam Shrestha, Daniel Ben Dayan Rubin, Adam Kupryjanow, Garrick Orchard, Lukasz Pindor, Timothy M. Shea, Mike Davies:
The Intel neuromorphic DNS challenge. Neuromorph. Comput. Eng. 3(3): 34005 (2023) - Marco Arcani, Elio Conte, Omar Del Monte, Alessandra Frassati, Andrea Grana, Cesare Guaita, Domenico Liguori, Altea Renata Maria Nemolato, Daniele Pigato, Elia Rubino:
The Astroparticle Detectors Array - An Educational Project in Cosmic Ray Physics. Symmetry 15(2): 294 (2023) - Siyi Tang, Amara Tariq, Jared A. Dunnmon, Umesh Sharma, Praneetha Elugunti, Daniel L. Rubin, Bhavik N. Patel, Imon Banerjee:
Predicting 30-Day All-Cause Hospital Readmission Using Multimodal Spatiotemporal Graph Neural Networks. IEEE J. Biomed. Health Informatics 27(4): 2071-2082 (2023) - Rui Yan, Liangqiong Qu, Qingyue Wei, Shih-Cheng Huang, Liyue Shen, Daniel L. Rubin, Lei Xing, Yuyin Zhou:
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging. IEEE Trans. Medical Imaging 42(7): 1932-1943 (2023) - Ameen Abdel Hai, Mark G. Weiner, Alice Livshits, Jeremiah R. Brown, Anuradha Paranjape, Zoran Obradovic, Daniel J. Rubin:
Spatial Knowledge Transfer with Deep Adaptation Network for Predicting Hospital Readmission. AIME 2023: 130-139 - Daniel B. Rubin, Leigh R. Hochberg:
BrainGate: An Intracortical Brain-Computer Interface for the Restoration of Communication and Functional Independence for People with Paralysis. BCI 2023: 1-3 - Siyi Tang, Jared A. Dunnmon, Liangqiong Qu, Khaled Kamal Saab, Tina Baykaner, Christopher Lee-Messer, Daniel L. Rubin:
Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models. CHIL 2023: 50-71 - Guillermo Agustín Martinez, Eliana Ludmila Frutos, María Agustina Ricci Lara, Carolina Paula Vargas, Maria Victoria Rodriguez Kowalczuk, María Guillermina Ferraresso, Luciana Rubin, Alfredo Hernán Cancio, Carlos Martin Otero, Paula Otero, Daniel Luna, Luis Daniel Mazzuoccolo, Sonia Elizabeth Benítez:
Integrating Dermoscopic Images into PACS Using DICOM and Modality Worklist. MedInfo 2023: 199-203 - María Florencia Grande Ratti, Ignacio Martingano, Paula Daniela Otero, Carlos Martin Otero, Juan Maria Farina, Luciana Rubin, Daniel Luna, Jorge Ariel Esteban, Ana Soledad Pedretti, María de la Paz Rodríguez, Micaela Sanchez Del Cid, Bernardo Julio Martínez:
Unscheduled Emergency Department Revisits Within 48 Hours of Discharge. MedInfo 2023: 304-308 - Pierina Torrens, Julian Verdinelli, Luciana Rubin, Fernando Binder, Soledad Diaz, Laura Gambarte, Pilar Ávila, Daniel Luna:
Development and Usage Patterns of a Home-Grown Drug Information Tool. MedInfo 2023: 149-153 - Rogier van der Sluijs, Nandita Bhaskhar, Daniel L. Rubin, Curtis P. Langlotz, Akshay S. Chaudhari:
Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays. MIDL 2023: 444-467 - Amara Tariq, Siyi Tang, Hifza Sakhi, Leo Anthony Celi, Janice M. Newsome, Daniel L. Rubin, Hari Trivedi, Judy Gichoya, Bhavik N. Patel, Imon Banerjee:
Graph-Based Fusion of Imaging and Non-Imaging Data for Disease Trajectory Prediction. NER 2023: 1-4 - Juanma Zambrano Chaves, Nandita Bhaskhar, Maayane Attias, Jean-Benoit Delbrouck, Daniel L. Rubin, Andreas M. Loening, Curtis P. Langlotz, Akshay Chaudhari:
RaLEs: a Benchmark for Radiology Language Evaluations. NeurIPS 2023 - Kihyuk Sohn, Lu Jiang, Jarred Barber, Kimin Lee, Nataniel Ruiz, Dilip Krishnan, Huiwen Chang, Yuanzhen Li, Irfan Essa, Michael Rubinstein, Yuan Hao, Glenn Entis, Irina Blok, Daniel Castro Chin:
StyleDrop: Text-to-Image Synthesis of Any Style. NeurIPS 2023 - Sundararajan Renganathan, Benny Rubin, Hyojoon Kim, Pier Luigi Ventre, Carmelo Cascone, Daniele Moro, Charles Chan, Nick McKeown, Nate Foster:
Hydra: Effective Runtime Network Verification. SIGCOMM 2023: 182-194 - Florian Dubost, Erin Hong, Siyi Tang, Nandita Bhaskhar, Christopher Lee-Messer, Daniel L. Rubin:
Semi-Supervised Learning for Sparsely-Labeled Sequential Data: Application to Healthcare Video Processing. WACV 2023: 1890-1899 - Ali Mirzazadeh, Florian Dubost, Maxwell Pike, Krish Maniar, Max Zuo, Christopher Lee-Messer, Daniel L. Rubin:
ATCON: Attention Consistency for Vision Models. WACV 2023: 1880-1889 - Rogier van der Sluijs, Nandita Bhaskhar, Daniel L. Rubin, Curtis P. Langlotz, Akshay Chaudhari:
Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays. CoRR abs/2301.12636 (2023) - Jonathan Timcheck, Sumit Bam Shrestha, Daniel Ben Dayan Rubin, Adam Kupryjanow, Garrick Orchard, Lukasz Pindor, Timothy M. Shea, Mike Davies:
The Intel Neuromorphic DNS Challenge. CoRR abs/2303.09503 (2023) - Kihyuk Sohn, Nataniel Ruiz, Kimin Lee, Daniel Castro Chin, Irina Blok, Huiwen Chang, Jarred Barber, Lu Jiang, Glenn Entis, Yuanzhen Li, Yuan Hao, Irfan Essa, Michael Rubinstein, Dilip Krishnan:
StyleDrop: Text-to-Image Generation in Any Style. CoRR abs/2306.00983 (2023) - Khaled Saab, Siyi Tang, Mohamed Taha, Christopher Lee-Messer, Christopher Ré, Daniel L. Rubin:
Towards trustworthy seizure onset detection using workflow notes. CoRR abs/2306.08728 (2023) - Ed Davis, Ian Gallagher, Daniel John Lawson, Patrick Rubin-Delanchy:
A Simple and Powerful Framework for Stable Dynamic Network Embedding. CoRR abs/2311.09251 (2023) - 2022
- Amara Tariq, Omar Kallas, Patricia C. Balthazar, Scott Jeffery Lee, Terry Desser, Daniel L. Rubin, Judy Wawira Gichoya, Imon Banerjee:
Transfer language space with similar domain adaptation: a case study with hepatocellular carcinoma. J. Biomed. Semant. 13(1): 8 (2022) - Jon André Ottesen, Darvin Yi, Elizabeth Tong, Michael Iv, Anna Latysheva, Cathrine Saxhaug, Kari Dolven Jacobsen, Åslaug Helland, Kyrre Eeg Emblem, Daniel L. Rubin, Atle Bjørnerud, Greg Zaharchuk, Endre Grøvik:
2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data. Frontiers Neuroinformatics 16 (2022) - Josh Sanyal, Daniel L. Rubin, Imon Banerjee:
A weakly supervised model for the automated detection of adverse events using clinical notes. J. Biomed. Informatics 126: 103969 (2022)
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