Marianne Rakic

mrakic@mit.edu

Hello! I am a PhD student at Clinical and Applied Machine Learning Group at CSAIL, MIT, advised by Prof. Adrian Dalca and Prof. John Guttag. I am working on conditional image generation.

CV/LinkedIn/GitHub/Google Scholar

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About me

My research focuses on computer vision and machine learning, with expertise in conditional image generation, stochastic prediction, in-context learning, and generative models. Currently seeking ML research scientist and engineering roles with interest in computer vision and multi-modal applications. Published at CVPR (highlight), ECCV, NeurIPS, and in Medical Image Analysis.

News

[November 2025]: AtlasMorph is accepted at MedIA!

[October 2025]: Nomicated top reviewer at NeurIPS

[September 2025]: Pancakes is accepted at NeurIPS!

[July 2025]: Nomicated best reviewer at MIDL

[October 2024]: Thank you MIT News for the spotlight :)

[July 2024]: ScribblePrompt is accepted at ECCV!

[June 2024]: ScribblePrompt gets an award for potential clinical impact at DCAMI, CVPR

[June 2024]: Just started my internship at the Health Futures teams at Microsoft Research in Cambridge (UK this time :) )

[March 2024]: I am a PhD candidate :)

[February 2024]: Tyche is accepted at CVPR as a hightlight!

Publications

Pancakes: Consistent Multi-Protocol Image Segmentation Across Biomedical Domains

Marianne Rakic, Siyu Gai, Etienne Chollet, Adrian V Dalca, and John V Guttag

Neurips 2025
ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Medical Image

Hallee E Wong, Marianne Rakic, Adrian V Dalca, and John V Guttag

ECCV 2024
Tyche: Stochastic In-Context Learning Model for Medical Image Segmentation

Marianne Rakic, Hallee E Wong, Jose Javier Gonzalez Ortiz, Beth Cimini, John V Guttag, and Adrian V Dalca

CVPR 2024 (highlight)
AtlasMorph: Learning Conditional Deformable Templates for Brain MRI

Marianne Rakic, Andrew Hoopes, Maz Abulnaga, Mert Sabuncu, John V Guttag, and Adrian V Dalca

Medical Image Analysis
Anatomical Predictions using Subject-Specific Medical Data

Marianne Rakic, John V Guttag, and Adrian V Dalca

MIDL: Medical Imaging and Deep Learning. Short Paper, 2020.
Learning Conditional Deformable Templates with Convolutional Networks

Adrian V Dalca, Marianne Rakic, John V Guttag, and Mert R Sabuncu

NeurIPS 2019

Scholarships

Eric and Wendy Schmidt Center (EWSC) PhD Fellowship

Nathaniel Durlach Graduate Fellowship

Entrance Scholarship Fernand PISART