Sumit Chopra
Associate Professor of Computer Science
Develops deep learning models for representation learning in healthcare, including medical imaging such as breast cancer screening and MRI.
Sumit Chopra's lab at NYU works on medical imaging & healthcare AI and generative & foundation models. 13 papers since 2023, 1 at top venues, mostly NeurIPS. 7 PhD students. Applications close .
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 8%
- PhD students
- 7
- MS students
- 0
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 5 papers2025 · T1 0
- 6 papers2024 · T1 1
- 2 papers2023 · T1 0
T1 venuesOtherVenues: NeurIPS
Research focuspaper titles that use each topic's words
- Medical imaging & healthcare AI2 papers
- cancer2 papers
- mri2 papers
- Generative & foundation models1 paper
- develops deep0 papers
Paper list
From the lab homepage.
20255 papers
- Magnetic Resonance Materials in Physics, Biology and MedicineAccelerating multi-coil MR image reconstruction using weak supervision (opens in a new tab)
- ISMRM Honolulu, HI, JuneMulti-coil multi-contrast joint reconstruction with protection from hallucination: Application to low-field MR
- International Conference on Representation Learning (ICLR) Blogposts, SingaporeMulti-modal Learning: A Lookback and the Road Ahead (opens in a new tab)
- Journal of Magnetic Resonance Imaging, FebruaryProstate Cancer Risk Stratification and Scan Tailoring Using Deep Learning with Abbreviated Prostate MRI
- ISMRM, Honolulu, HI, JuneResolving ambiguous space: Leveraging side information with deep learning to extend the limits of MR image reconstruction
20246 papers
- NeurIPS (T1)A Framework for Multi-modal Learning: Jointly Modeling Inter- & Intra-Modality Dependencies (opens in a new tab)
- International Conference on Machine Learning (ICML), Vienna, Austria, JulyAdaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction (opens in a new tab)
- Scientific DataFastMRI Prostate: A public, biparametric MRI dataset to advance machine learning for prostate cancer imaging (opens in a new tab)
- Machine Learning 4 Health (ML4H) Proceedings, Vancouver, CA, DecemberLeveraging Historical Patient Reports for Enhanced Automatic Diagnosis (opens in a new tab)
- Alzheimer's Association International Conference, Philadelphia, PAPredicting Alzheimer's Diseases and Related Dementias in 3-year timeframe with AI Foundation Model on Electronic Health Records (opens in a new tab)
- ISMRM, Singapore, Singapore, JuneWeak supervision in multi-coil accelerated MR image reconstruction
20232 papers
- Medical Imaging and Deep Learning (MIDL) Nashville, TNOn Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis (opens in a new tab)
- ICML WorkshopSeparating Multimodal Modeling from Multidimensional Modeling for Multimodal Learning (opens in a new tab)
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
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
Similar labsnearest by research summary
- CNTsinghua
Wenkai Lu
- Medical imaging & healthcare AI
- GBOxford
Anshul Thakur
- Medical imaging & healthcare AI
- GBUCL
Maneesh Sahani
- Probabilistic & causal inference
- GBCambridge
Mihaela van der Schaar
- Medical imaging & healthcare AI
- CNSJTU
Ya Zhang
- Medical imaging & healthcare AI
- GBEdinburgh
Ava Khamseh
- Medical imaging & healthcare AI
Your notes
Save this lab to keep notes.
Data
Some numbers could not be verified:
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
NYUcloses