|
|
PhD applicants: No new students | AI & Emerging Media | BU AIR @ HIC |
|
OLD Camera Mouse Website | Women in CS |
|
| 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, medical image analysis, and 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: 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 2024, Room CGS 516, Tue, Thu
11:00 - 12:15 pm Image and Video Computation (CS 585) in Spring 2024, Room CS 224, Tue/Thu 5-6:15 pm 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 News: |
Nov. 10, 2023: 7 Investigates: Voice Cloning. 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) |
Journal Papers:
Umair Khan, Russell Thompson, Jason Li, Lauren P. Etter, Ingrid Camelo, Rachel C. Pieciak, Ilse Castro-Aragon, Bindu Setty, Christopher C. Gill, Libertario Demi, and Margrit Betke. FLUEnT: Transformer for detecting lung consolidations in videos using fused lung ultrasound encodings. Computers in Biology and Medicine. Vol. 180, 2024, 109014, 10 pages, DOI: 10.1016/j.compbiomed.2024.109014.
Lei Guo, Hao Yu, H. Denis Wu, and Margrit Betke. "The Emotional Power of Partisan Media: A Computer Vision Analysis of the 2020 Democratic Party Presidential Primaries." Mass Communication and Society, 27(6):1636-1658, July 19, 2024. DOI: 10.1080/15205436.2024.2370562.
Randa Elanwar and Margrit Betke (2024). Generative adversarial networks for handwriting image generation: A review. The Visual Computer, July 2, 2024. Pages 1-24. DOI: 10.1007/s00371-024-03534-9.
Zheng, Y., Conrad, R. D., Green, E. J., Burks, Betke, M., Bean, J. E., and Kolachalama, V. B. (2024). Graph attention-based fusion of pathology images and gene expression for prediction of cancer survival IEEE Trans Med Imaging. April 28, 2024. 13 pages. DOI: 10.1109/TMI.2024.3386108. PMID: 38587959
Lauren Etter, Margrit Betke, Ingrid Y. Camelo, Christopher J. Gill, Rachel Pieciak, Russell Thompson, Libertario Demi, Umair Khan, Alyse Wheelock, Janet Katanga, Bindu N. Setty, and Ilse Castro-Aragon. "Curated and Annotated Dataset of Lung US Images of Zambian Children with Clinical Pneumonia." Radiology: Artificial Intelligence, 6(2), 6 pages, February 12, 2024. DOI 10.1148/ryai.230147
Peer-reviewed Conference Papers:
Farid Karimli and Margrit Betke. Enhancing Text Entry for Users with Motor Impairments: Design and Evaluation of KeyGlide. Accepted at The 18th International Conference on PErvasive Technologies Related to Assistive Environments (PETRA), Corfu, Greece, June 2025.
Farid Karimli, Hao Yu, Emmanuel Akosah, Srishti Jain, Margrit Betke, and Wenxin Feng. Demonstration of CameraMouse^AI: A Head-Based Mouse-Control System for People with Severe Motor Disabilities. ASSETS 24: Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility. Article No. 124, pages 1-6. October 27, 2024. DOI: 10.1145/3663548.3688499
Zijian Chen, Maria Varkanitsv, Prakash Ishwar, Janusz Konrad, Margrit Betke, Swathi Kiran, Arachana Venkataraman. LEGNet: A Lesion-aware Edge-based Graph Neural Network for Predicting Post-stroke Aphasia. 7th International Workshop on Machine Learning in Clinical Neuroimaging. Marrakesh, Morocco, October 10, 2024. Pages 91-101. Springer, Cham.
Sarah Bonna, Yu-Cheng Huang, Ekaterina Novozhilova, Sejin Paik, Zhengyang Shan, Michelle Yilin Feng, Ge Gao, Yonish Tayal, Rushil Kulkarni, Jialin Yu, Nupur Divekar, Deepti Ghadiyaram, Derry Wijaya, and Margrit Betke. DebiasPI: Inference-time Debiasing by Prompt Iteration of a Text-to-Image Generative Model. The European Conference on Computer Vision 2024 Workshop "Fairness and ethics towards transparent AI: facing the chalLEnge through model Debiasing" (FAILED), Milano, Italy, September 29, 2024. 16 pages.
Yiwen Gu, Mahir Patel, and Margrit Betke. ExeChecker: Where Did I Go Wrong? The European Conference on Computer Vision 2024. Twelfth International Workshop on Assistive Computer Vision and Robotics (ACVR 2024), September 29, 2024. 18 pages.
Hao Yu, Danielle A Allessio, William Rebelsky, Tom Murray, John J Magee, Ivon Arroyo, Beverly P Woolf, Sarah Adel Bargal, and Margrit Betke (2024). Affect Behavior Prediction: Using Transformers and Timing Information to Make Early Predictions of Student Exercise Outcome. In: Olney, A.M., Chounta, IA., Liu, Z., Santos, O.C., Bittencourt, I.I. (eds) Artificial Intelligence in Education. AIED 2024. Lecture Notes in Computer Science, vol. 14830. Springer, Cham. DOI 10.1007/978-3-031-64299-9_14. Nominated for the Best Paper Award and Best Student Paper Award of the 25th Conference on Artificial Intelligence in Education (AIED 2024, Refice, Brazil, July 8-12). There were 6 nominations for best paper award and four nominations of best student paper, selected from 143 accepted papers.
Ge Gao, Jongin Kim, Sejin Paik, Ekaterina Novozhilova, Yi Liu, Sarah T Bonna, Margrit Betke, and Derry Tanti Wijaya. Enhancing Emotion Prediction in News Headlines: Insights from ChatGPT and Seq2Seq Models for Free-Text Generation. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), May 2024, pages 5944-5955, pdf.
Peer-reviewed Conference Abstracts and Short Papers:
Saunak Bhattacharjee, Umair Khan, Russell Thompson, Lauren P. Etter, Ingrid Camelo, Rachel C. Pieciak, Ilse Castro-Aragon, Bindu Setty, Christopher C. Gill, and Margrit Betke. Unveiling bias in AI model training data: Exploring the impact of intrinsic data variability on lung ultrasound video classification models. Oral presentation at the Conference on Machine Intelligence in Medical Imaging (CMIMI), Boston, MA, October 21-22, 2024. Short paper pdf.
Srishti Jain, Umair Khan, Russell Thompson, Lauren P. Etter, Ingrid Camelo, Rachel C. Pieciak, Ilse Castro-Aragon, Bindu Setty, Christopher C. Gill, and Margrit Betke. Comparative Evaluation of Computationally Efficient and Explainable 1D Brightness Profiles From Axial Projections for Lung Ultrasound Frame Classification. Poster presentation at the Conference on Machine Intelligence in Medical Imaging (CMIMI), Boston, MA, October 21-22, 2024. Short paper pdf.
Saunak Bhattacharjee, Umair Khan, Russell Thompson, Lauren P. Etter, Ingrid Camelo, Rachel C. Pieciak, Ilse Castro-Aragon, Bindu Setty, Christopher C. Gill, and Margrit Betke. Comparing Classic to State-of-the-Art Image Features: A Clustering Approach Using Local Binary Patterns and ResNet-18 Features for Lung Ultrasound Video Classification. Poster presentation at the Conference on Machine Intelligence in Medical Imaging (CMIMI), Boston, MA, October 21-22, 2024. Short paper pdf.
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.
Technical Reports:
Mahir Patel, Lucas Carstensen, Yiwen Gu, Michael E. Hasselmo, and Margrit Betke. BU-CVKit: Extendable Computer Vision Framework for Species Independent Tracking and Analysis. 5 pages. https://arxiv.org/abs/2306.04736, June 2023.
Ge Gao, Jongin Kim, Sejin Paik, Ekaterina Novozhilova, Yi Liu, Sarah T. Bonna, Margrit Betke, and Derry Tanti Wijaya. Enhancing Emotion Prediction in News Headlines: Insights from ChatGPT and Seq2Seq Models for Free-Text Generation. 12 pages. https://arxiv.org/abs/2407.10091, July 2024.
Zijian Chen, Maria Varkanitsa, Prakash Ishwar, Janusz Konrad, Margrit Betke, Swathi Kiran, and Archana Venkataraman. A Lesion-aware Edge-based Graph Neural Network for Predicting Language Ability in Patients with Post-stroke Aphasia. 10 pages. https://arxiv.org/abs/2409.02303, September 2024.
Yiwen Gu, Mahir Patel, and Margrit Betke. ExeChecker: Where Did I Go Wrong? 18 pages. https://arxiv.org/abs/2412.10573, December 2024.
 |
|
