Marianne Rakic

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 5

Top Topics

Interactive Segmentation

Inter Subject Variability

Top Venues

Publications

Marianne Rakic, Hallee E. Wong, Jose Javier Gonzalez Ortiz, Beth Cimini, John V. Guttag, Adrian V. Dalca
Tyche: Stochastic In-Context Learning for Medical Image Segmentation. CoRR (2024)
Hallee E. Wong, Marianne Rakic, John V. Guttag, Adrian V. Dalca
ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Medical Image. CoRR (2023)
Marianne Rakic, John V. Guttag, Adrian V. Dalca
Anatomical Predictions using Subject-Specific Medical Data. CoRR (2020)
Adrian V. Dalca, Marianne Rakic, John V. Guttag, Mert R. Sabuncu
Learning Conditional Deformable Templates with Convolutional Networks. CoRR (2019)
Adrian V. Dalca, Marianne Rakic, John V. Guttag, Mert R. Sabuncu
Learning Conditional Deformable Templates with Convolutional Networks. NeurIPS (2019)