Adrian Vasile Dalca

Postdoctoral Fellow     CV | Linkedin

A.A. Martinos Center for Biomedical Imaging
Massachusetts General Hospital, Harvard Medical School

Computer Science and Artificial Intelligence Lab
EECS, Massachusetts Institute of Technology

Contact:
32 Vassar St, 32-G904, Cambridge, MA, 02139 
adalca at mit dot edu

I am a postdoctoral fellow at MGH, Harvard Medical School, working with Mert Sabuncu, and with an additional appointment at CSAIL, MIT working with John Guttag. I completed my PhD in September, 2016, in the Medical Vision Group, CSAIL, EECS, MIT, advised by Polina Golland. My research focuses on probabilistic models and machine learning for biomedical data, with a focus on medical image analysis. I have been lucky to work with wonderful collaborators.

My documents for the academic job market: research statement, education statement, curriculum vitae, references

My wife, Monica, completed her PhD at MIT in the Biology department doing exciting research on cancer biology.

Recent Updates

Mar 2018 We recently submitted a couple of papers to MICCAI and ECCV. (arXiv soon to follow)
Mar 2018 We will be organizing a new technical workshop at MICCAI this year focusing on integrating medical imaging and non-imaging modalities to answer novel clinical and healthcare challenges.
Feb 2018 Three papers accepted at CVPR 2018!
Nov 2017 We recently submitted a series of papers to CVPR and IEEE! (arXiv soon to follow)
Oct 2017 Paper accepted for spotlight presentation at NIPS ML4H:
"Spatial Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation"
Sep 2017 Our edited book Imaging Genetics is out, combining work from MICGen.
Also, check out this year's proceedings from MICGen and SWITCH!
Jul 2017 Population Based Image Imputation wins Best Poster Award at IPMI 2017
Jun 2017 Read the MIT News take on our imputation paper: New technique makes brain scans better
Jul 2017 Paper from our clinical stroke team accepted in Neurology: Genetics: "Design and Rationale for Examining Neuroimaging Genetics in Ischemic Stroke: the MRI-GENIE Study"
Feb 2017 Two papers accepted at IPMI 2017: "Population Based Image Imputation" and "Frequency Diffeomorphisms for Efficient Image Registration"
Oct 2016 "Patch-Based Discrete Registration of Clinical Brain Images" wins Best Paper Award at PatchMI 2016. Register images with our patch based method code.
Sep 2016 I wrote a Thesis!
Jul 2016 The Boston Timescape Project has gotten some media narratives.
See MIT Technology Review or Boston Magazine for example.
Jan 2016 New website for the Boston Timescape Project is up!
Sep 2015 Predict entire MRIs using genetics! Short video | paper | web | news

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