Victor Ion Butoi

PhD Student
Massachusetts Institute of Technology
EECS, CSAIL
vbutoi@mit.edu

Greetings! I am a 5th year Computer Science PhD student at MIT fortunate enough to be advised by Professors Adrian Dalca and John Guttag as a part of the Clinical and Applied Machine Learning (CAML) Group. I am interested in problems lying at the core of machine learning and computer vision, often with applications to healthcare. I'm very involved in the ML community here at MIT. Previously, I was a head TA for our Deep Learning course (over 600 students!) and a co-organizer of ML Tea.

My work has been supported by the NSF Graduate Research Fellowship.

Previously, I studied Computer Science at Cornell University advised by Mert Sabuncu, where I was a Merrill Presidential Scholar for the Computer Science department and a Tanner-Dean Scholar for the School of Arts and Sciences.

I've also had the chance to intern at some very cool places doing cool things — see the bio below. If you are interested in collaborating, please do reach out!

Selected Works

FleXray teaser

FleXray: Flexible Full-Body X-ray Segmentation

Victor Ion Butoi, Vivek Gopalakrishnan, John V. Guttag, Adrian V. Dalca, Neel Dey

arXiv preprint 2026

UniverSeg teaser

UniverSeg: Universal Medical Image Segmentation

Victor Ion Butoi*, Jose J. Ortiz*, Tianyu Ma, John Guttag, Mert R. Sabuncu, Adrian V. Dalca

ICCV 2023 · MedNeurIPS 2022 (NeurIPS Workshop)

VoxelPrompt teaser

VoxelPrompt: A Vision-Language Agent for Grounded Medical Image Analysis

Andrew Hoopes, Victor Ion Butoi, John Guttag, Adrian V. Dalca

ICCV CVAMD 2025 (Workshop) · Oral Presentation, Best Student Paper Award

Other Works

ConMe teaser

ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs

Irene Huang, Wei Lin, Muhammad Jehanzeb Mirza, Jacob A. Hansen, Sivan Doveh, Victor Ion Butoi, Roei Herzig, Assaf Arbelle, Hilde Kuehne, Trevor Darrell, Chuang Gan, Aude Oliva, Rogerio Feris, Leonid Karlinsky

NeurIPS 2024 (Datasets & Benchmarks)

Generative active learning teaser

Generative Active Learning for the Search of Small-molecule Protein Binders

Maksym Korablyov et al.

ICLR GEM 2024 (Workshop) · Oral Presentation

DEUP teaser

DEUP: Direct Epistemic Uncertainty Prediction

Moksh Jain*, Salem Lahlou*, Hadi Nekoei, Victor Ion Butoi, Paul Bertin, Jarrid Rector-Brooks, Maksym Korablyov, Yoshua Bengio

TMLR 2023

Prostate segmentation teaser

Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging

Heejong Kim, Victor Ion Butoi, Mert R. Sabuncu, Adrian V. Dalca

MICCAI MedAGI 2023 (Workshop)

Reviewer Service

AutoML, MIDL, ICLR, ICML, NeurIPS

Bio

Previously, I have been lucky enough to work with: