Daniel Sodickson
Professor of Radiology Neuroscience and Physiology, and Biomedical Engineering
Develops biomedical imaging technology, including parallel MRI and AI-accelerated image reconstruction such as fastMRI.
Daniel Sodickson's lab at NYU works on medical imaging & healthcare AI, medical image analysis and 3D vision & neural rendering. 8 papers since 2023, 2 at top venues, mostly MICCAI and npj Digit. Medicine. Applications close .
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 25%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 2 papers2026 · T1 1 · collecting
- 4 papers2025 · T1 1
- 1 papers2024 · T1 0
- 1 papers2023 · T1 0
T1 venuesOtherVenues: MICCAI, npj Digit. Medicine
Research focuspaper titles that use each topic's words
- Medical image analysis3 papers
- Medical imaging & healthcare AI2 papers
- 3D vision & neural rendering2 papers
- biomedical imaging0 papers
- nyu0 papers
Paper list
From DBLP.
20262 papers
20254 papers
- ULF-EnC@MICCAIA 3D Vision Transformer Trained with Synthetic and Real MRI Data for Enhancing ULF-MRI (opens in a new tab)
- MICCAI (T1)Harnessing Side Information for Highly Accelerated MRI (opens in a new tab)
- npj Digit. MedicineMultimodal generative AI for interpreting 3D medical images and videos (opens in a new tab)
- ULF-EnC@MICCAIUltra-Low-Field Brain MRI Enhancement Using a Slice-Based Vision Transformer (opens in a new tab)
20241 paper
Where alumni went
Alumni are not listed on the lab homepage.
Apply to NYUFall 2027
Computer Science PhD (Courant / Tandon)
- Round
- Single round (December)
- Opens
- —
- GRE
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- English
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- Fee
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Not yet confirmed for this intake.
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Data
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- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
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