Marc Niethammer
Professor
Develops machine learning methods for medical image analysis, including image registration and shape analysis.
Marc Niethammer's lab at UCSD works on medical imaging & healthcare AI. 35 papers since 2023. 28 alumni. Applications close .
At a glance
- papers, 2023–2026
- 9/ year
- at T1 venues
- 0%
- PhD students
- 0
- MS students
- 0
- alumni listed
- 28
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 6 papers2025 · T1 0
- 14 papers2024 · T1 0
- 15 papers2023 · T1 0
T1 venuesOther
Research focuspaper titles that use each topic's words
- image10 papers
- Medical imaging & healthcare AI9 papers
- registration8 papers
- image registration6 papers
- shape analysis0 papers
Paper list
From the lab homepage.
20256 papers
- Journal articleDownstream Analysis of Foundational Medical Vision Models for Disease Progression (opens in a new tab)
- Journal articleGuiding Registration with Emergent Similarity from Pre-Trained Diffusion Models (opens in a new tab)
- Conference paperLiVOS: Light Video Object Segmentation with Gated Linear Matching (opens in a new tab)
- Journal articleLucidAtlas : Learning Uncertainty-Aware, Covariate-Disentangled, Individualized Atlas Representations (opens in a new tab)
- Journal articlePPS-Ctrl: Controllable Sim-to-Real Translation for Colonoscopy Depth Estimation (opens in a new tab)
- Journal articleZero-shot Domain Generalization of Foundational Models for 3D Medical Image Segmentation: An Experimental Study (opens in a new tab)
202414 papers
- Conference paperA Unified Model for Longitudinal Multi-Modal Multi-View Prediction with Missingness (opens in a new tab)
- Journal articleCARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models (opens in a new tab)
- Journal articleCARL: A Framework for Equivariant Image Registration (opens in a new tab)
- Journal articleInvestigating the relationship between radiographic joint space width loss and deep learning-derived magnetic resonance imaging-based cartilage thickness loss in the medial weight-bearing region of the tibiofemoral joint (opens in a new tab)
- Conference paperJoint Depth Prediction and Semantic Segmentation with Multi-View SAM (opens in a new tab)
- Conference paperLeveraging Near-Field Lighting for Monocular Depth Estimation from Endoscopy Videos (opens in a new tab)
- Conference paperMultiGradICON: A Foundation Model for Multimodal Medical Image Registration (opens in a new tab)
- Conference paperMultimodal Image Registration Guided by Few Segmentations from One Modality (opens in a new tab)
- Conference paperNAISR: A 3D Neural Additive Model for Interpretable Shape Representation (opens in a new tab)
- Conference paperNePhi: Neural Deformation Fields for Approximately Diffeomorphic Medical Image Registration (opens in a new tab)
- Journal articleNeuralOCT: Airway OCT Analysis via Neural Fields (opens in a new tab)
- Journal articleNFL-BA: Improving Endoscopic SLAM with Near-Field Light Bundle Adjustment (opens in a new tab)
202315 papers
- Conference paperContinuously Parameterized Mixture Models (opens in a new tab)
- Journal articleExploring Cycle Consistency Learning in Interactive Volume Segmentation (opens in a new tab)
- Conference paperGradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency (opens in a new tab)
- Conference paperHarmonization Benchmarking Tool for Neuroimaging Datasets (opens in a new tab)
- Journal articleIntroducing the Open and Reproducible Musculoskeletal Imaging Research (ORMIR) community (opens in a new tab)
- Conference paperInverse Consistency by Construction for Multistep Deep Registration (opens in a new tab)
- Conference paperMRIS: A Multi-modal Retrieval Approach for Image Synthesis on Diverse Modalities (opens in a new tab)
- Journal articleMultimodal Understanding Through Correlation Maximization and Minimization (opens in a new tab)
- Journal articleOptimal transport features for morphometric population analysis (opens in a new tab)
- Journal articlePatterns of variation among baseline femoral and tibial cartilage thickness and clinical features: Data from the osteoarthritis initiative (opens in a new tab)
- Journal articlePredicting early breast cancer recurrence from histopathological images in the Carolina Breast Cancer Study (opens in a new tab)
- Journal articleSAME++: A Self-supervised Anatomical eMbeddings Enhanced medical image registration framework using stable sampling and regularized transformation (opens in a new tab)
Where alumni went28 listed
Apply to UCSDFall 2027
UCSD CSE Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
Similar labsnearest by research summary
- DETUM
Jan S. Kirschke
- Medical imaging & healthcare AI
- USUCSD
Albert Hsiao
- Medical imaging & healthcare AI
- SGNUS
Yueming Jin
- Medical imaging & healthcare AI
- GBUCL
Marta Betcke
- 3D vision & neural rendering
- USStanford
Ehsan Adeli
- Medical imaging & healthcare AI
- CNTsinghua
Li Shi
- Neuroscience & brain-computer interfaces
Your notes
Save this lab to keep notes.
Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
UCSDcloses