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PhD applicants: No new students | AI & Emerging Media | BU AIR @ HIC |
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Camera Mouse Website | Women in CS |
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| 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:
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| 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: Ge Gao (co-advised with Derry Wijaya), Yiwen Gu, Stan (Sha) Lai, Mahir Patel (co-advised with Bryan Plummer), Wenda Qin, Kaihong Wang, Hao Yu, and Yi Zheng (co-advised with Wijaya Kolachalama). Current MS research students: Sarah Bonner, Alex (Hantian) Liu, and Farid Karimli. Most recently graduated PhD students: Elham Saraee, Ajjen Joshi, Wenxin Feng, Andrew Kurauchi, Mehrnoosh Sameki. UROP students: Alex Lavaee, Junyi Li, Chloe Valcourt, Jialin Yu, Student Awards. |
| Former Postdocs: | Randa Elanwar and Zheng Wu. |
| Teaching: |
Artificial Intelligence (CS 640) in Fall 2023, Room CAS 216, Tue, Thu
2:00-3:45 pm 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 491, GRS CS 941, or GRS CS 979, or Directed Study in AI: GRS CS 940, 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.
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| Editor: | Associate Editor, Editorial Board of the journal IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) |
Journal Papers:
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. 5(3): 411-424. July 2023. DOI 10.1109/tbiom.2022.3210479. *Equal contribution.
Hantian Liu, Claire Cordella, Prakash Ishwar, Margrit Betke, and Swathi Kiran. Consistent long-term practice leads to consistent improvement: Benefits of self-managed therapy for language and cognitive deficits using a digital therapeutic. Frontiers in Digital Health, Section Personalized Medicine. Vol. 5: 1095110. 13 pages. April 11, 2023. https://doi.org/10.3389/fdgth.2023.1095110
Guo, L., Zhang, Y., Mays, K., Akyürek, A. F., Wijaya, D., & Betke, M. (2023). Agenda Setting, Cross-cutting Effects, and Political Expression on Social Media: The Gun Violence Case. Communication Research. Published online March 29, 2023. doi.org/10.1177/00936502231151555
M Patel, Y Gu, LC Carstensen, ME Hasselmo, M Betke Animal Pose Tracking: 3D Multimodal Dataset and Token-based Pose Optimization. International Journal of Computer Vision 131 (2), 514-530. February 2023. https://doi.org/10.1007/s11263-022-01714-5
Lei Guo, Chao Su, Sejin Paik, Vibhu Bhatia, Vidya Prasad Akavoor, Ge Gao, Margrit Betke and Derry Wijaya. (2023) Proposing an open-sourced tool for computational framing analysis of multilingual data. Digital Journalism: 11(2):276-297. pdf. Open Framing Code
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
Peer-reviewed Conference Papers:
Hao Yu, Danielle A. Allessio, Will Lee, William Rebelsky, Frank Sylvia, Tom Murray, John J. Magee, Ivon Arroyo, Beverly P. Woolf, Sarah Adel Bargal, and Margrit Betke. COVES: A Cognitive-Affective Deep Model that Personalizes Math Problem Difficulty in Real Time and Improves Student Engagement with an Online Tutor. Accepted at the 31st ACM International Conference on Multimedia 2023 (ACM MM), Ottawa, Canada, October 29-November 2, 2023. 9 pages.
Kaihong Wang, Donghyun Kim, Rogerio Feris, and Margrit Betke. CDAC: Cross-domain Attention Consistency in Transformer for Domain Adaptive Semantic Segmentation. Accepted at the International Conference on Computer Vision (ICCV), Paris, France, October 2-6, 2023. 11 pages.
Saurav Chennuri, Sha Lai, Anne Billot, Maria Varkanitsa, Emily J. Braun, Swathi Kiran, Archana Venkataraman, Janusz Konrad, Prakash Ishwar, and Margrit Betke. Fusion Approaches to Predict Post-stroke Aphasia Severity from Multimodal Neuroimaging Data. Accepted at the International Conference on Computer Vision Workshop on Computer vision for Automated Medical Diagnosis (ICCV CVAMD 2023). Paris, France, October 2, 2023. 10 pages.
Wenda Qin, Lauren Etter, Alinani Simukanga, Christopher Gill, and Margrit Betke. Age-constrained Ear Recognition: The EICZA Dataset and SASE Baseline Model. Accepted at the IEEE International Joint Conference on Biometrics (IJCB 2023), Lubjana, Slovenia, September 2023. 10 pages.
Sejin Paik, Sarah Bonna, Ekaterina Novozhilova, Ge Gao, Jongin Kim, Derry Wijaya, Margrit Betke. The Affective Nature of AI-Generated News Images: Impact on Visual Journalism. Accepted at the 2023 11th International Conference on Affective Computing and Intelligent Interaction (ACII), Cambridge, MA, September 2023. 8 pages. Paper, data, codebook.
Mahir Patel, Lucas Carstensen, Yiwen Gu, Michael Hasselmo, and Margrit Betke. BU-CVKit: Extendable Computer Vision Framework for Species Independent Tracking and Analysis. CV4Animals: Computer Vision for Animal Behavior Tracking and Modeling, Workshop at the Computer Vision and Pattern Recognition Conference (CVPR), Vancouver, Canada, June 18, 2023. 5 pages. https://arxiv.org/abs/2306.04736
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.
Conference Abstracts:
Russell Thompson, Umair Khan, Jason Li, Lauren Etter, Ingrid Camelo, Rachel Pieciak, Ilse Castro-Aragon, Bindu Setty, Christopher Gill, Libertario Demi, and Margrit Betke. Effectiveness of transferring ultrasound deep learning models from adults to pediatrics for frame based pneumonia classification. The Journal of the Acoustical Society of America: 153 (3_supplement), A189-A189 2023. https://doi.org/10.1121/10.0018616. Oral presentation at the International Lung Ultrasound Symposium (ILUS2023), Trento, Italy, 10-12 July, 2023.
Russell Thompson, Umair Khan, Lauren Etter, Ingrid Camelo, Rachel Pieciak, Ilse Castro-Aragon, Bindu Setty, Christopher Gill, Libertario Demi, and Margrit Betke. Anomaly Detection In Pediatric Lung Ultrasound Using Consistency BiGAN. Oral presentation at the International Lung Ultrasound Symposium (ILUS2023), Trento, Italy, 10-12 July, 2023.
Yanru Jiang, Sha Lai, Lei Guo, Prakash Ishwar, Derry Wijaya, and Margrit Betke. Community Detection of the Framing Element Network: Proposing and Assessing a New Computational Framing Analysis Approach. 105th Annual Conference of the Association for Education in Journalism and Mass Communication (AEJMC), Detroid, MI. August 2022. Oral Presentation. Top Method Paper Award.
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
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