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internship/visiting research opportunity in deep learning for biomedical images
The Visual Computing Group at Harvard SEAS is working on applied research projects in deep learning and computer vision for biomedical image analysis. Our group has been publishing regularly in top computer vision and visualization venues (CVPR, ICCV, ECCV, VIS, MICCAI etc).
Keywords: deep learning, biomedical images, health care, interpretable machine learning, motif analysis, instance segmentation, image restoration, shape analysis
Ongoing Projects
- Connectomics (with Jeff Lichtman in Harvard MCB): design and deploy deep learning models for 3D neural segmentation. [Youtube link for Tedx talk by our collaborator]<https://www.youtube.com/watch?v=F37kuXObIBU>, [Website link for MIT Tech News for our team]<https://www.technologyreview.com/s/609070/inside-the-moonshot-effort-to-finally-figure-out-the-brain/>
- Embryo cell division tracking (with Daniel Needleman in Harvard MCB): design and deploy deep learning models for geometry detection and object tracking.
- Cancer cell clustering (with Peter Sorger in Harvard Medical School): design and deploy deep learning models for clustering and expert-in-the-loop cell type categorization.
Ongoing Projects
- Connectomics (with Jeff Lichtman in Harvard MCB): design and deploy deep learning models for 3D neural segmentation. [Youtube link for Tedx talk by our collaborator]<https://www.youtube.com/watch?v=F37kuXObIBU>, [Website link for MIT Tech News for our team]<https://www.technologyreview.com/s/609070/inside-the-moonshot-effort-to-finally-figure-out-the-brain/>
- Embryo cell division tracking (with Daniel Needleman in Harvard MCB): design and deploy deep learning models for geometry detection and object tracking.
- Cancer cell clustering (with Peter Sorger in Harvard Medical School): design and deploy deep learning models for clustering and expert-in-the-loop cell type categorization.
Publication in top computer vision, machine learning, biomedical image analysis, and visualization venues.
Publication in top computer vision, machine learning, biomedical image analysis, and visualization venues.
Please email your resume, github repository, and the amount of stipend needed to: donglai@seas.harvard.edu. If qualified, we will offer skype interviews.
Please email your resume, github repository, and the amount of stipend needed to: donglai@seas.harvard.edu. If qualified, we will offer skype interviews.
