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ORCIDDavid Beymer
David James Beymer
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- affiliation: IBM Almaden Research Center, San Jose, CA, USA
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2020 – today
- 2024
[c55]David Beymer, Vandana V. Mukherjee, Anup Pillai, Hakan Bulu, Vanessa Burrowes, James H. Kaufman, Ed Seabolt:
Agent Simulation Using Path Telemetry for Modeling COVID-19 Workplace Hazard and Risk. BIOSTEC (1) 2024: 417-428- [c54]Prashanth Vijayaraghavan
, Apoorva Nitsure, Charles Mackin, Luyao Shi, Stefano Ambrogio, Arvind Haran, Viresh Paruthi, Ali El-Zein, Dan Coops, David Beymer, Tyler Baldwin, Ehsan Degan:
Chain-of-Descriptions: Improving Code LLMs for VHDL Code Generation and Summarization. MLCAD 2024: 28:1-28:10 - [c53]Prashanth Vijayaraghavan, Hongzhi Wang, Luyao Shi, Tyler Baldwin, David Beymer, Ehsan Degan:
Self-Regulated Data-Free Knowledge Amalgamation for Text Classification. NAACL (Industry Track) 2024: 491-502 - [i8]Prashanth Vijayaraghavan, Luyao Shi, Stefano Ambrogio, Charles Mackin, Apoorva Nitsure, David Beymer, Ehsan Degan:
VHDL-Eval: A Framework for Evaluating Large Language Models in VHDL Code Generation. CoRR abs/2406.04379 (2024) - [i7]Prashanth Vijayaraghavan, Hongzhi Wang, Luyao Shi, Tyler Baldwin, David Beymer, Ehsan Degan:
Self-Regulated Data-Free Knowledge Amalgamation for Text Classification. CoRR abs/2406.15476 (2024) - 2022
- [p1]Ehsan Degan, Shafiq Abedin, David Beymer, Angshuman Deb, Nathaniel Braman, Benedikt Graf, Vandana V. Mukherjee:
Application of Federated Learning in Medical Imaging. Federated Learning 2022: 483-497 - 2021
- [j3]Jannis Born, David Beymer, Deepta Rajan, Adam Coy, Vandana V. Mukherjee, Matteo Manica, Prasanth Prasanna, Deddeh Ballah, Michal Guindy, Dorith Shaham, Pallav L. Shah, Emmanouil Karteris, Jan L. Robertus, Maria Gabrani, Michal Rosen-Zvi:
On the role of artificial intelligence in medical imaging of COVID-19. Patterns 2(6): 100269 (2021) - [j2]Jannis Born, David Beymer, Deepta Rajan, Adam Coy, Vandana V. Mukherjee, Matteo Manica, Prasanth Prasanna, Deddeh Ballah, Michal Guindy, Dorith Shaham, Pallav L. Shah, Emmanouil Karteris, Jan L. Robertus, Maria Gabrani, Michal Rosen-Zvi:
On the role of artificial intelligence in medical imaging of COVID-19. Patterns 2(8): 100330 (2021) - [c52]Maria Gabrani, Ender Konukoglu, David Beymer, Gustavo Carneiro, Jannis Born, Michal Guindy, Michal Rosen-Zvi:
Lessons Learned from the Development and Application of Medical Imaging-Based AI Technologies for Combating COVID-19: Why Discuss, What Next. CLIP/DCL/LL-COVID19/PPML@MICCAI 2021: 133-140 - [c51]Yiting Xie, Deepta Rajan, Larissa C. Schudlo, Yusuke Takeuchi, Benedikt Graf, Adam Coy, Mohammadreza Negahdar, Vandana V. Mukherjee, David Beymer, Arun Krishnan:
Automatic localization of lung opacity in chest CT images: a real-world study. Medical Imaging: Computer-Aided Diagnosis 2021 - 2020
- [c50]Olga Kovaleva, Chaitanya Shivade, Satyananda Kashyap, Karina Kanjaria, Joy T. Wu, Deddeh Ballah, Adam Coy, Alexandros Karargyris, Yufan Guo, David James Beymer, Anna Rumshisky, Vandana V. Mukherjee:
Towards Visual Dialog for Radiology. BioNLP 2020: 60-69 - [c49]Luyao Shi, Deepta Rajan, Shafiq Abedin, Manikanta Srikar Yellapragada, David Beymer, Ehsan Dehghan:
Automatic Diagnosis of Pulmonary Embolism Using an Attention-guided Framework: A Large-scale Study. MIDL 2020: 743-754 - [i6]Luyao Shi, Deepta Rajan, Shafiq Abedin, Manikanta Srikar Yellapragada, David Beymer, Ehsan Dehghan:
Automatic Diagnosis of Pulmonary Embolism Using an Attention-guided Framework: A Large-scale Study. CoRR abs/2006.00074 (2020) - [i5]Alexandros Karargyris, Satyananda Kashyap, Ismini Lourentzou, Joy T. Wu, Arjun Sharma, Matthew Tong, Shafiq Abedin, David Beymer, Vandana V. Mukherjee, Elizabeth A. Krupinski, Mehdi Moradi:
Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Development. CoRR abs/2009.07386 (2020)
2010 – 2019
- 2019
- [c48]Mohammadreza Negahdar, Adam Coy, David Beymer:
An End-to-End Deep Learning Pipeline for Emphysema Quantification Using Multi-label Learning. EMBC 2019: 929-932 - [c47]Ahmed Harouni, Hongzhi Wang, Tanveer F. Syeda-Mahmood, David Beymer:
Deep Network Anatomy Segmentation with Limited Annotations using Auxiliary Labels. ISBI 2019: 6-10 - [c46]Mohammadreza Negahdar, David Beymer:
Lung tissue characterization for emphysema differential diagnosis using deep convolutional neural networks. Medical Imaging: Computer-Aided Diagnosis 2019: 109503R - [c45]Deepta Rajan, David Beymer, Shafiqul Abedin, Ehsan Dehghan:
Pi-PE: A Pipeline for Pulmonary Embolism Detection using Sparsely Annotated 3D CT Images. ML4H@NeurIPS 2019: 220-232 - [i4]Olga Kovaleva, Chaitanya Shivade, Satyananda Kashyap, Karina Kanjaria, Adam Coy, Deddeh Ballah, Yufan Guo, Joy T. Wu, Alexandros Karargyris, David Beymer, Anna Rumshisky, Vandana V. Mukherjee:
Visual Dialog for Radiology: Data Curation and FirstSteps. ViGIL@NeurIPS 2019 - [i3]Deepta Rajan, David Beymer, Girish Narayan:
Generalization Studies of Neural Network Models for Cardiac Disease Detection Using Limited Channel ECG. CoRR abs/1901.03295 (2019) - [i2]Deepta Rajan, David Beymer, Shafiqul Abedin, Ehsan Dehghan:
Pi-PE: A Pipeline for Pulmonary Embolism Detection using Sparsely Annotated 3D CT Images. CoRR abs/1910.02175 (2019) - 2018
- [c44]Yufan Guo, Joy T. Wu, Tyler Baldwin, David Beymer, Vandana V. Mukherjee, Tanveer F. Syeda-Mahmood:
Improving the Path from Diagnoses to Documentation: A Cognitive Review Tool for Clinical Notes and Administrative Records. AMIA 2018 - [c43]Deepta Rajan, David Beymer, Girish Narayan:
Improving Generalization of Deep Models for Cardiac Disease Detection Using Limited Channel ECG. CinC 2018: 1-4 - [c42]Ahmed Harouni, Alexandros Karargyris, Mohammadreza Negahdar, David Beymer, Tanveer F. Syeda-Mahmood:
Universal multi-modal deep network for classification and segmentation of medical images. ISBI 2018: 872-876 - [c41]Mohammadreza Negahdar, David Beymer, Tanveer F. Syeda-Mahmood:
Automated volumetric lung segmentation of thoracic CT images using fully convolutional neural network. Medical Imaging: Computer-Aided Diagnosis 2018: 105751J - [i1]Nathaniel Braman, David Beymer, Ehsan Dehghan:
Disease Detection in Weakly Annotated Volumetric Medical Images using a Convolutional LSTM Network. CoRR abs/1812.01087 (2018) - 2016
- [j1]Sailesh Conjeti, Amin Katouzian, Anees Kazi, Sepideh Mesbah, David Beymer, Tanveer F. Syeda-Mahmood, Nassir Navab:
Metric hashing forests. Medical Image Anal. 34: 13-29 (2016) - [c40]Tanveer F. Syeda-Mahmood, Eugene Walach, David Beymer, Flora Gilboa-Solomon, Mehdi Moradi, Pavel Kisilev, Deepika Kakrania, Colin B. Compas, Hongzhi Wang, Mohammadreza Negahdar, Yu Cao, Tyler Baldwin, Yufan Guo, Yaniv Gur, Deepta Rajan, Aviad Zlotnick, Simona Rabinovici-Cohen, Rami Ben-Ari, Guy Amit, Prasanth Prasanna, J. Morey, Orest B. Boyko, Sharbell Y. Hashoul:
Medical sieve: a cognitive assistant for radiologists and cardiologists. Medical Imaging: Computer-Aided Diagnosis 2016: 97850A - [c39]Tanveer F. Syeda-Mahmood, Yanrong Guo, Mehdi Moradi, David Beymer, Deepta Rajan, Yu Cao, Yaniv Gur, Mohammadreza Negahdar:
Identifying Patients at Risk for Aortic Stenosis Through Learning from Multimodal Data. MICCAI (3) 2016: 238-245 - 2014
- [c38]Tanveer Fathima Syeda-Mahmood, Quan Wang, Patrick McNeillie, David Beymer, Colin B. Compas:
Discriminating normal and abnormal left ventricular shapes in four-chamber view 2D echocardiography. ISBI 2014: 401-404 - [c37]Colin B. Compas, Tanveer F. Syeda-Mahmood, Patrick McNeillie, David Beymer:
Automatic detection of coronary stenosis in X-ray angiography through spatio-temporal tracking. ISBI 2014: 1299-1302 - 2013
- [c36]Ritwik Kumar, Tanveer Fathima Syeda-Mahmood, David Beymer, Colin B. Compas, Karen Brannon:
Mining Echocardiography Workflows for Disease Discriminative Patterns. AMIA 2013 - [c35]Ismail Haritaoglu, Myron Flickner, David Beymer:
Video-CRM: understanding customer behaviors in stores. Video Surveillance and Transportation Imaging Applications 2013: 86630Y - [c34]Tanveer Fathima Syeda-Mahmood, Colin B. Compas, David Beymer, Ritwik Kumar:
Similarity Retrieval of Angiogram Images BASED on a Flexible Shape Model. FIMH 2013: 97-105 - [c33]Ritwik Kumar, Ting Chen, Moritz Hardt, David Beymer, Karen Brannon, Tanveer Fathima Syeda-Mahmood:
Multiple Kernel Completion and its application to cardiac disease discrimination. ISBI 2013: 764-767 - [c32]Ting Chen, Ritwik Kumar, Guillaume Axel Troianowski, Tanveer Fathima Syeda-Mahmood, David Beymer, Karen Brannon:
PSAR: Predictive space aggregated regression and its application in valvular heart disease classification. ISBI 2013: 1122-1125 - 2012
- [c31]David Beymer, Tanveer Fathima Syeda-Mahmood, Fei Wang, Ritwik Kumar, Yong Zhang, Robert J. Lundstrom, Taylor Holve, Navid Shafaee, Edward McNulty:
AngioViewer: A Tool for Assessing the State of Coronary Artery Disease. AMIA 2012 - [c30]Tanveer Fathima Syeda-Mahmood, David Beymer, Fei Wang, Ritwik Kumar, Yong Zhang:
Multimodal Informatics Platform for Clinical Decision Support¬. AMIA 2012 - [c29]Tanveer Fathima Syeda-Mahmood, Fei Wang, Ritwik Kumar, David Beymer, Yong Zhang, Robert J. Lundstrom, Edward McNulty:
Finding Similar 2D X-Ray Coronary Angiograms. MICCAI (3) 2012: 501-508 - 2011
- [c28]Fei Wang, Yong Zhang, David Beymer, Hayit Greenspan, Tanveer Fathima Syeda-Mahmood:
Pyramid Histograms of Motion Context with Application to Angiogram Video Classification. FIMH 2011: 384-391 - [c27]Fei Wang, Yong Zhang, Hayit Greenspan, Tanveer Fathima Syeda-Mahmood, David Beymer:
Automatic classification of images of an angiography sequence using modified shape context-based spatial pyramid kernels. ISBI 2011: 1091-1096 - 2010
- [c26]Ritwik Kumar, Fei Wang, David Beymer, Tanveer F. Syeda-Mahmood:
Cardiac disease detection from echocardiogram using edge filtered scale-invariant motion features. CVPR Workshops 2010: 162-169 - [c25]Tanveer Fathima Syeda-Mahmood, Pavan K. Turaga, David Beymer, Fei Wang, Arnon Amir, Hayit Greenspan, Kilian M. Pohl:
Shape-based similarity retrieval of Doppler images for clinical decision support. CVPR 2010: 855-862 - [c24]Tanveer Fathima Syeda-Mahmood, David Beymer, Fei Wang, A. Mahmood, Robert J. Lundstrom, N. Shafee, T. Holve:
Automatic Selection of Keyframes from Angiogram Videos. ICPR 2010: 4008-4011 - [c23]Fei Wang, Vuk Ercegovac, Tanveer Fathima Syeda-Mahmood, Akintayo Holder, Eugene J. Shekita, David Beymer, Lin Hao Xu:
Large-scale multimodal mining for healthcare with mapreduce. IHI 2010: 479-483 - [c22]Arnon Amir, David Beymer, Julia Grace, Hayit Greenspan, Daniel Gruhl, Allen Hobbs, Kilian M. Pohl, Tanveer F. Syeda-Mahmood, Joseph Terdiman, Fei Wang:
AALIM: A Cardiac Clinical Decision Support System Powered By Advanced Multi-modal Analytics. MedInfo 2010: 846-850 - [c21]Tanveer Fathima Syeda-Mahmood, Fei Wang, David Beymer:
Recognition of object categories using affine kernels. Multimedia Information Retrieval 2010: 15-24
2000 – 2009
- 2009
- [c20]David Beymer, Tanveer F. Syeda-Mahmood, Arnon Amir, Fei Wang, Scott Adelman:
Automatic estimation of left ventricular dysfunction from echocardiogram videos. CVPR Workshops 2009: 164-171 - [c19]Ritwik Kumar, Fei Wang, David Beymer, Tanveer Fathima Syeda-Mahmood:
Echocardiogram view classification using edge filtered scale-invariant motion features. CVPR 2009: 723-730 - [c18]Fei Wang, Tanveer Fathima Syeda-Mahmood, David Beymer:
Information Extraction from Multimodal ECG Documents. ICDAR 2009: 381-385 - [c17]Tanveer Fathima Syeda-Mahmood, David Beymer, Arnon Amir:
Disease-Specific Extraction of Text from Cardiac Echo Videos for Decision Support. ICDAR 2009: 1290-1294 - [c16]Fei Wang, Tanveer Fathima Syeda-Mahmood, Baba C. Vemuri, David Beymer, Anand Rangarajan:
Closed-Form Jensen-Renyi Divergence for Mixture of Gaussians and Applications to Group-Wise Shape Registration. MICCAI (1) 2009: 648-655 - 2008
- [c15]David Beymer, Daniel M. Russell, Peter Z. Orton:
An eye tracking study of how font size and type influence online reading. BCS HCI (2) 2008: 15-18 - [c14]David Beymer, Tanveer F. Syeda-Mahmood, Fei Wang:
Exploiting spatio-temporal information for view recognition in cardiac echo videos. CVPR Workshops 2008: 1-8 - 2007
- [c13]David Beymer, Peter Z. Orton, Daniel M. Russell:
An Eye Tracking Study of How Pictures Influence Online Reading. INTERACT (2) 2007: 456-460 - [c12]Tanveer Fathima Syeda-Mahmood, Fei Wang, David Beymer, M. London, R. Reddy:
Characterizing Spatio-temporal Patterns for Disease Discrimination in Cardiac Echo Videos. MICCAI (1) 2007: 261-269 - 2005
- [c11]David Beymer, Daniel M. Russell:
WebGazeAnalyzer: a system for capturing and analyzing web reading behavior using eye gaze. CHI Extended Abstracts 2005: 1913-1916 - [c10]David Beymer, Daniel M. Russell, Peter Z. Orton:
Wide vs. Narrow Paragraphs: An Eye Tracking Analysis. INTERACT 2005: 741-752 - [c9]Pernilla Qvarfordt, David Beymer, Shumin Zhai:
RealTourist - A Study of Augmenting Human-Human and Human-Computer Dialogue with Eye-Gaze Overlay. INTERACT 2005: 767-780 - 2003
- [c8]David Beymer, Myron Flickner:
Eye Gaze Tracking Using an Active Stereo Head. CVPR (2) 2003: 451-458 - 2002
- [c7]David Beymer, Kurt Konolige:
Tracking People from a Mobile Platform. ISER 2002: 234-244 - 2000
- [c6]David Beymer:
Person Counting Using Stereo. Workshop on Human Motion 2000: 127-
1990 – 1999
- 1997
- [c5]Philip F. McLauchlan, David Beymer, Benjamin Coifman, Jitendra Malik:
A Real-time Computer Vision System for Measuring Traffic Parameters. CVPR 1997: 495-501 - 1996
- [c4]David Beymer:
Feature Correspondence by Interleaving Shape and Texture Computations. CVPR 1996: 921-928 - 1995
- [b1]David James Beymer:
Pose-invariant face recognition using real and virtual views. Massachusetts Institute of Technology, Cambridge, MA, USA, 1995 - [c3]David Beymer, Tomaso A. Poggio:
Face Recognition from One Example View. ICCV 1995: 500-507 - 1994
- [c2]David Beymer:
Face recognition under varying pose. CVPR 1994: 756-761 - 1991
- [c1]David James Beymer:
Finding junctions using the image gradient. CVPR 1991: 720-721
Coauthor Index
Tanveer F. Syeda-Mahmood
aka: Tanveer Fathima Syeda-Mahmood
aka: Tanveer Fathima Syeda-Mahmood
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last updated on 2024-10-23 21:27 CEST by the dblp team
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