Daniel Rubin

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 15

Top Topics

Spatial Pyramid Matching

Domain Adaptation

Sliding Mode Control

Cancer Treatment

Top Venues

Publications

Ali Mirzazadeh, Florian Dubost, Maxwell Pike, Krish Maniar, Max Zuo, Christopher Lee-Messer, Daniel Rubin
ATCON: Attention Consistency for Vision Models. WACV (2023)
Siyi Tang, Jared Dunnmon, Khaled Kamal Saab, Xuan Zhang, Qianying Huang, Florian Dubost, Daniel Rubin, Christopher Lee-Messer
Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis. ICLR (2022)
Louis Blankemeier, Isabel Gallegos, Juan Manuel Zambrano Chaves, David Maron, Alexander Sandhu, Fátima Rodriguez, Daniel Rubin, Bhavik Patel, Marc H. Willis, Robert D. Boutin, Akshay S. Chaudhari
Opportunistic Incidence Prediction of Multiple Chronic Diseases from Abdominal CT Imaging Using Multi-task Learning. MICCAI (8) (2022)
Amara Tariq, Omar Kallas, Patricia Balthazar, Scott Jeffery Lee, Terry Desser, Daniel Rubin, Judy Wawira Gichoya, Imon Banerjee
Transfer language space with similar domain adaptation: a case study with hepatocellular carcinoma. J. Biomed. Semant. 13 (1) (2022)
Khaled Saab, Sarah M. Hooper, Mayee F. Chen, Michael Zhang, Daniel Rubin, Christopher Ré
Reducing Reliance on Spurious Features in Medical Image Classification with Spatial Specificity. MLHC (2022)
Amara Tariq, Siyi Tang, Hifza Sakhi, Leo Anthony Celi, Janice Newsome, Daniel Rubin, Hari Trivedi, Judy Gichoya, Bhavik Patel, Imon Banerjee
Graph-based Fusion Modeling and Explanation for Disease Trajectory Prediction. AMIA (2022)
Siyi Tang, Amara Tariq, Jared Dunnmon, Umesh Sharma, Praneetha Elugunti, Daniel Rubin, Bhavik N. Patel, Imon Banerjee
Multimodal spatiotemporal graph neural networks for improved prediction of 30-day all-cause hospital readmission. CoRR (2022)
Ameen Abdel Hai, Mark Weiner, Anuradha Paranjape, Alice Livshits, Jeremiah Brown, Zoran Obradovic, Daniel Rubin
Deep Learning vs Traditional Models for Predicting Hospital Readmission among Patients with Diabetes. AMIA (2022)
Ali Mirzazadeh, Florian Dubost, Maxwell Pike, Krish Maniar, Max Zuo, Christopher Lee-Messer, Daniel Rubin
ATCON: Attention Consistency for Vision Models. CoRR (2022)
Josh Sanyal, Daniel Rubin, Imon Banerjee
A weakly supervised model for the automated detection of adverse events using clinical notes. J. Biomed. Informatics 126 (2022)
Yuyin Zhou, Shih-Cheng Huang, Jason Alan Fries, Alaa Youssef, Timothy J. Amrhein, Marcello Chang, Imon Banerjee, Daniel Rubin, Lei Xing, Nigam Shah, Matthew P. Lungren
RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR. CoRR (2021)
Thiago Santos, Omar Kallas, Janice Newsome, Daniel Rubin, Judy W. Gichoya, Imon Banerjee
A Fusion NLP Model for the Inference of Standardized Thyroid Nodule Malignancy Scores from Radiology Report Text. AMIA (2021)
Jiaming Zeng, Imon Banerjee, Michael Francis Gensheimer, Daniel Rubin
Cancer Treatment Classification with Electronic Medical Health Records (Student Abstract). AAAI (2020)
Daniel Rubin, Alex Townsend
Bounding Zolotarev numbers using Faber rational functions. CoRR (2019)
Ron C. Li, Imon Banerjee, Daniel Rubin, Jonathan H. Chen
Detecting unanticipated actions downstream from clinical decision support: a data mining approach. AMIA (2019)
Daniel Rubin, Shai A. Arogeti
Vehicle yaw stability control using rear active differential via Sliding mode control methods. MED (2013)
Offer Shai, Yoram Reich, Daniel Rubin
Creative conceptual design: Extending the scope by infused design. Comput. Aided Des. 41 (3) (2009)
Offer Shai, Daniel Rubin
Representing and analysing integrated engineering systems through combinatorial representations. Eng. Comput. 19 (4) (2004)