Picture of Margrit Betke from 2018 PhD applicants: No new students AI & Emerging Media BU AIR @ HIC IVC Logo Camera Mouse Website Women in CS BU Logo
Margrit Betke, Professor, Department of Computer Science

Short Bio and Funding, Long CV

Education: Ph.D. in Computer Science and Electrical Engineering, Massachusetts Institute of Technology
Research: Computer vision, human-computer interfaces, human computation, medical image analysis, and application of machine learning. Sample projects:
Publications: Recent publications and full list of publications, Google Scholar profile, Semantic Scholar, ACM Digital Library profile, DBLP profile, https://orcid.org/0000-0002-4491-6868
Students: Current PhD students: Yiwen Gu, Stan (Sha) Lai, Wenda Qin, Hao Yu, Kaihong Wang, Yi Zheng. Current MS students: Divya Appapogu, Saurav Chennuri, Alex (Hantian) Liu, and Mahir Patel. Most recently graduated PhD students: Elham Saraee, Ajjen Joshi, Wenxin Feng, Andrew Kurauchi, Mehrnoosh Sameki, Former MA, UROP students: Qitong Wang. Ashutosh Sanan, Kratesh Ramrakhyani, Huy Le. Student Awards.
Former Postdocs: Randa Elanwar and Zheng Wu.
Teaching: Artificial Intelligence (CS 640) in Fall 2020, Room LAW AUD, Tue, Thu 9:30-10:45 am
Image and Video Computation (CS 585) in Spring 2021: Tue/Thu 9:30-10:45 am
Geometric Algorithms (CS 132) in Fall 2010
Graduate Initiation Seminar (CS 697) in Spring 2018. In Spring 2023: Mon 10:05-10:55, CCDS 701.
Directed Study in Image and Video Computing: CAS CS 492, GRS CS 941, or GRS CS 979, or Directed Study in AI: GRS CS 941, ongoing.
Office Hours: Spring 2023: Mon after class (11:05 - 11:55) in my office CCDS 827 or by arrangement. Zoom link: https://bostonu.zoom.us/my/margritbetke
Honors & Awards: HERS Leadership Institute Award, Wellesley Class of 2018. Elected to Senior Member of the ACM and Senior Member of the IEEE in October 2012. One of two academics to win the "Top 10 Women to Watch in New England" Award in 2005. Many sponsored students and researchers have won awards.
In the Press: Feb. 2, 2022: ML reveals new factor for predicting a stroke survivor’s ability to regain language skills
Can the U.S. win the A.I. arms race? Interview by Futurity, March 4, 2019. Google Award, Group Behavior Award.
Camera Mouse: Video Interview, BU, Kablenet, Belfast Telegraph, MassHighTech, Bradford Telegraph & Argus
Empathic Painting: BBC, ABC News, SydneyMH, The Hindu, DigitalWorld Tokyo, Inky, Canada TecChannel - München, Frontpage - Netherlands
Free Software: Camera Mouse - a program that enables a person with severe disabilities to control the mouse pointer on the computer screen just by moving the head (see also research version).
Camera Canvas - image editing software developed for people with severe motor impairments who cannot use their hands to operate a mouse or keyboard. It can be used with the Camera Mouse or other mouse-replacement tools. Camera Canvas enables users to edit images and draw pictures just by moving their heads.
Patent: "Method and system for the detection, comparison and volumetric quantification of pulmonary nodules on medical computed tomography scans." Inventors Margrit Betke and Jane P. Ko., US Patent 7,206,462, issued on April 17, 2007.
Editor: Associate Editor, Editorial Board of the journal IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
Associate Editor, Editorial Board of the journal Computer Vision and Image Understanding (CVIU)


M. Betke and Z. Wu. 2016. Data Association for Multi-Object Visual Tracking. Morgan & Claypool Lecture Series on Computer Vision. 120 pages.

Recent Publications:

Journal Papers:

Yi Zheng, Rushin H. Gindra, Emily J. Green, Eric J. Burks, Margrit Betke, Jennifer E. Bean, and Vijaya B. Kolachalama. A graph transformer for whole slide image classification. IEEE Trans Med Imaging 41(11):3003-3015, November 2022. https://doi.org/10.1109/TMI.2022.3176598

Nataniel Ruiz*, Hao Yu*, Danielle A. Allessio, Mona Jalal, Ajjen Joshi, Tom Murray, John J. Magee, Kevin Manuel Delgado, Vitaly Ablavsky, Stan Sclaroff, Ivon Arroyo, Beverly P. Woolf, Sarah Adel Bargal, and Margrit Betke. ATL-BP: A Student Engagement Dataset and Model for Affect Transfer Learning for Behavior Prediction. IEEE Transactions on Biometrics, Behavior, and Identity Science. September 2022. 14 pages. DOI 10.1109/tbiom.2022.3210479. *Equal contribution.

Lei Guo, Chao Su, Sejin Paik, Vibhu Bhatia, Vidya Prasad Akavoor, Ge Gao, Margrit Betke and Derry Wijaya. Proposing an open-sourced tool for computational framing analysis of multilingual data. Digital Journalism. Available online, February 15, 2022. pdf. Open Framing Code

Anne Billot, Sha Lai, Maria Varkanitsa, Emily J. Braun, Brenda Rapp, Todd B. Parrish, James Higgins, Ajay S. Kurani, David Caplan, Cynthia K. Thompson, Prakash Ishwar, Margrit Betke and Swathi Kiran. Multimodal neural and behavioral data predict response to rehabilitation in chronic post-stroke aphasia. January 26, 2022. Stroke. 9 pp. DOI: 10.1161/STROKEAHA.121.036749

Peer-reviewed Conference Papers:

Ge Gao, Sejin Paik, Carley Reardon, Yanling Zhao, Lei Guo, Prakash Ishwar, Margrit Betke, and Derry Wijaya. Prediction of People's Emotional Response towards Multi-modal News. The 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (AACL-IJCNLP), November 2022. 10 pages.

Donghyun Kim, Kaihong Wang, Kate Saenko, Margrit Betke, and Stan Sclaroff. A Unified Framework for Domain Adaptive Pose Estimation. European Conference on Computer Vision (ECCV), Tel Aviv, October 23-27, 2022. 18 pages.

Carley Reardon, Sejin Paik, Ge Gao, Meet Parekh, Yanling Zhao, Lei Guo, Margrit Betke, and Derry Wijaya. NEmo: An Affective Dataset of Gun Violence News. Proceedings of the 13th Conference on Language Resources and Evaluation ( LREC 2022) Palais du Pharo, Marseille, France, June 20-25, 2022, pages 2507-2516, pdf.

Sha Lai, Yanru Jiang, Lei Guo, Margrit Betke, Prakash Ishwar, and Derry Tanti Wijaya. An Unsupervised Approach to Discover Media Frames. Proceedings of The LREC 2022 Workshop on Natural Language Processing for Political Science, Marseille, France, June 20-25, 2022, ISBN: 979-10-95546-88-7. Pages 22-31 pdf.

Will Lee, Danielle Allessio, William Rebelsky, Sai Satish Gattupalli, Hao Yu, Ivon Arroyo, Margrit Betke, Sarah Bargal, Tom Murray, Frank Sylvia, and Beverly P. Woolf. Measurements and Interventions to Improve Student Engagement through Facial Expression Recognition. HCI International 2022: The 24th International Conference on Human-Computer Interaction. 26 June - 1 July 2022. 18 pages.

Abstracts with Posters:

Mahir Patel, Yiwen Gu, Lucas Carstensen, Micheal E. Hasselmo, and Margrit Betke. 3D Multimodal Dataset and Token-based Pose Optimization. CV4Animals Workshop: Computer Vision for Animal Behavior Tracking and Modeling. In conjunction with Computer Vision and Pattern Recognition (CVPR), June 19-24, 2022, New Orleans, Lousiana. Poster.

Saurav Chennuri, Anne Billot, Sha Lai, Prakash Ishwar, Margrit Betke, and Swathi Kiran. 2022. Feature Analysis and Extraction for Post Aphasia Recovery Prediction. 26th UK Conference on Medical Image Understanding and Analysis. 27 - 29 July 2022, Centre for Mathematical Sciences, University of Cambridge. Poster.

Russell Thompson, Jason Li, Kaihong Wang, Lauren Etter, Ingrid Camelo, Ilse Castro, Bindu Setty, Hailey Chang, Margrit Betke, Rachel Pieciak, and Christopher Gill. Using Artificial Intelligence to Interpret Pneumonia CXR (chest X ray) Findings in Children with a Phone Application Platform. The Society of Pediatric Radiology (SPR) 2022 Annual Meeting, April 27-May 1, Denver, Colorado. Poster.

Ingrid Camelo, Rachel Pieciak, Ilse Castro-Aragon, Bindu Setty, Margrit Betke, Lauren Etter, Jason Li, Russell Thompson, Christopher Gill. Concordance between Chest X Ray (CXR) and Point of Care Ultrasound (POCUS) Findings in Children Diagnosed with RSV Infection by Nasopharyngeal RT-PCR: The Zambia Experience. 9th Congress of the European Academy of Paediatric Societies (EAPS 2022), Barcelona, Spain, 7-11 October 2022. Poster.

Technical Reports:

Kaihong Wang, Donghyun Kim, Rogerio Feris, Kate Saenko, and Margrit Betke. Exploring Consistency in Cross-Domain Transformer for Domain Adaptive Semantic Segmentation. November 2022. 10 pages. https://arxiv.org/abs/2211.14703

Yi Zheng, Rushin H. Gindra, Emily J. Green, Eric J. Burks, Margrit Betke, Jennifer E. Beane, and Vijaya B. Kolachalama. A graph-transformer for whole slide image classification. May 2022. 16 pages. https://arxiv.org/abs/2205.09671

Donghyun Kim, Kaihong Wang, Kate Saenko, Margrit Betke, and Stan Sclaroff. A Unified Framework for Domain Adaptive Pose Estimation. April 2022. 24 pages. https://arxiv.org/abs/2204.00172

Earlier Publications:

Image of Research Results
Margrit Betke, Professor
Computer Science Department
Boston University
665 Commonwealth Ave, CCDS Room 827
Boston, MA 02215 ( campus map )
Email: betke @ cs.bu.edu
URL: http://www.cs.bu.edu/faculty/betke
Phone: 617-353-8919
Fax: 617-353-6457
Zoom: https://bostonu.zoom.us/j/6510753330
Last updated: February 1, 2023
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