Hallee Wong

Hello! I am a PhD student at MIT CSAIL advised by John Guttag and Adrian Dalca in the Clinical and Applied Machine Learning Group. My research interests are in computer vision and deep learning, with applications to healthcare. I am particularly excited about developing human-centered AI for medical imaging.

Prior to MIT, I worked on health economics and outcomes research at Analysis Group. I graduated with a BA in Mathematics from Williams College in 2018.

Email  /  CV  /  Google Scholar  /  Twitter  /  Github

profile photo

News

[Feb 2024] Tyche was accepted to CVPR!
[Dec 2023] We released the preprint for ScribblePrompt. Try ScribblePrompt for yourself in our interactive online demo!
[Oct 2023] gave a talk to the Cornell Sabuncu Lab about our work on ScribblePrompt
[June 2023] presented a poster on stochastic interactive segmentation at the WiCV workshop @ CVPR
[April 2023] presented a poster on interactive segmentation at the MIT-MGB AI Cures Conference
[Nov 2022] presented a poster on probabilistic interactive segmentation at WiML and the MedNeurIPs workshop @ NeurIPs

Research

ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Medical Image
Hallee Wong, Marianne Rakic, John Guttag, Adrian Dalca
arXiv / website / demo / video / code

We introduce algorithms for simulating realistic scribble interactions, and develop models that enable users to interactively segment unseen tasks using scribbles, clicks, and bounding boxes.

Tyche: Stochastic In-Context Learning for Universal Medical Image Segmentation
Marianne Rakic, Hallee Wong, Jose Javier Gonzalez Ortiz, Beth Cimini, John Guttag, Adrian Dalca
CVPR 2024
arXiv / website / code

Probabilistic Interactive Segmentation for Medical Images
Hallee Wong, John Guttag, Adrian Dalca
MedNeurIPS: Medical Imaging meets NeurIPS Workshop, 2022. Extended Abstract
pdf / poster

Evaluating Learned and Rule-Based Policies for Hospital Bed Assignment
Hallee Wong
Thesis for S.M. degree, MIT EECS, 2022
Advisor: John Guttag
thesis / poster

Long-term burden of respiratory complications associated with extreme prematurity: An analysis of US Medicaid claims
Meredith Mowitz, Wei Gao, Heather Sipsma, Pete Zuckerman, Hallee Wong, Rajeev Ayyagari, Sujata Sarda, Csaba Siffel
Pedicatrics & Neonatology, 2022
paper

Real-world and natural history data for drug evaluation in Duchenne muscular dystrophy: suitability of the North Star Ambulatory Assessment for comparisons with external controls
Francesco Muntoni, James Signorovitch, Gautam Sajeev, Nathalie Goemans, Brenda Wong, Cuixia Tian, Eugenio Mercuri, Nicolae Done, Hallee Wong, Jackson Moss, Zhiwen Yao, Susan Ward, Adnan Manzur, Laurent Servais, Erik Niks, Volker Straub, Imelda JM de Groot, Craig McDonald, The North Star Clinical Network
Neuromuscular Disorders, 2022
paper

Markerless Augmented Advertising for Sports Videos
Hallee Wong, Osman Akar, Emmanuel Antonio Cuevas, Iuliana Tabian, Divyaa Ravichandran, Iris Fu, Cambron Carter
ACCV 2018 Workshop on Advanced Machine Vision for Real-life and Industrially Relevant Applications
(Best Poster Award)
arxiv / paper / blog / poster / video

Categorical Co-Frequency Analysis: Clustering Diagnosis Codes to Predict Hospital Readmissions
Hallee Wong
Thesis for B.A. degree, Williams College, 2018
Advisors: Steve Miller and Brianna Heggeseth
arxiv / thesis / code / slides

Other Projects

photo credit: Agnieszka Kurant

photo credit: Agnieszka Kurant

Generative AI for Art
"Semiotic Life"

Collaborated with artist, Agnieszka Kurant, on a conceptual art piece for the 2022 Venice Biennale.




Last updated: Mar 15 2024

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