Ehsan Adeli
Assistant Professor of Psychiatry & Behavioral Sciences
Develops computer vision and machine learning methods for medical imaging, neuroimaging and human behavior analysis.
Ehsan Adeli's lab at Stanford works on medical imaging & healthcare AI and neuroscience & brain-computer interfaces. 99 papers since 2023, 6 at top venues, mostly Medical Image Analysis and npj Digital Medicine. 13 PhD students and 4 master's students. 53 alumni, most often to Apple and Rhoda AI. Applications close .
At a glance
- papers, 2023–2026
- 26/ year
- at T1 venues
- 6%
- PhD students
- 13
- MS students
- 4
- alumni listed
- 53
Papers by yearfrom the lab homepage, 2023–2026
- 36 papers2026 · T1 0 · collecting
- 34 papers2025 · T1 2
- 22 papers2024 · T1 4
- 7 papers2023 · T1 0
T1 venuesOtherVenues: Medical Image Analysis, npj Digital Medicine, BMVC, Nature Machine Intelligence, npj Artificial Intelligence
Research focuspaper titles that use each topic's words
- Neuroscience & brain-computer interfaces14 papers
- Medical imaging & healthcare AI9 papers
- neuroimaging1 paper
- psychiatry0 papers
- develops computer0 papers
Paper list
From the lab homepage.
202636 papers
- Nature Reviews BioengineeringA framework of digital biomarkers for neurodegenerative diseases
- Neural Information Processing Systems (NeurIPS)A Hierarchical Tokenization Framework for Voxel-Level fMRI Representation Learning
- Medical Imaging with Deep Learning (MIDL)A Tool Bottleneck Framework for Clinically-Informed and Interpretable Medical Image Understanding
- The Fifth Workshop on Applications of Medical AI (AMAI), MICCAIA vision foundation model for single-cell biology via spatial gene cartography
- Neural Information Processing Systems (NeurIPS)Align-RAG: Alignment Is All You Need for TSFM In-Context Learning
- Computer Vision and Pattern Recognition (CVPR)AnyLift: Scaling Motion Reconstruction from Internet Videos via 2D Diffusion
- International Conference on Machine Learning (ICML)Curriculum-Guided Layer Scaling for Language Model Pretraining
- Joint AAPM, COMP Annual Meeting & Exhibition, Vancouver, BC, CanadaDeciphering Longitudinal Anatomical Representations in Brain MRI
- American Journal of Geriatric Psychiatry: Open Science, Education, and PracticeDesigning AI-enabled video monitoring Clinician Dashboard for Neuropsychiatric Symptoms: A Survey of User Needs
- Medical Image Computing and Computer Assisted Intervention (MICCAI)Deterministic Hallucination Detection in Medical VQA via Confidence-Evidence Bayesian Gain
- Computer Vision and Pattern Recognition (CVPR)Diffusion MRI Transformer with a Diffusion Space Rotary Positional Embedding (D-RoPE)
- Biological Psychiatry: Cognitive Neuroscience and NeuroimagingDivergent Pathways Taken in Adolescence to Embrace or Resist Moderate and Heavy Drinking in Young Adulthood
202534 papers
- Nature Mental HealthA Multi-Dimensional Transfer Learning Framework for Studying Reward-Guided Behaviors Across Species
- Best paper award at the EDGE WorkshopAdaVid: Adaptive Video‑Language Pretraining
- Medical Image Computing and Computer-Assisted Intervention (MICCAI)Anatomical Similarity as a New Metric to Evaluate Brain Generative Models
- Current Treatment Options in PsychiatryArtificial Intelligence in Obsessive-Compulsive Disorder: A Systematic Review
- International Conference on Computer Vision (ICCV) E2E3D WorkshopArtist-Created Mesh Generation from Raw Observation
- The Chen Institute Symposium for AI Accelerated Science (AIAS)Ask WhAI: Probing Belief Formation in Role-Primed LLM Agents for Multi-Specialty Diagnosis
- TMI (T1)Communication Efficient Federated Learning for Multi-Organ Segmentation via Knowledge Distillation with Image Synthesis
- International Conference on Machine Learning (ICML)Confounder-Free Continual Learning via Recursive Feature Normalization
- PRIME Workshop MICCAICycle Diffusion Model for Counterfactual Image Generation
- New England Journal of Medicine (NEJM) AIDeveloping ICU Clinical Behavioral Atlas Using Ambient Intelligence and Computer Vision
- Neural Information Processing Systems (NeurIPS)Discovering Latent Graphs with GFlowNets for Diverse Conditional Image Generation
- Stanford Translational AI Lab, Stanford University, ZenodoDTI Processing Pipeline: A lightweight, end-to-end workflow for diffusion MRI preprocessing and quality control
202422 papers
- Nature Mental HealthA health-equity framework for tailoring digital non-pharmacological interventions in aging
- MICCAI Machine Learning in Clinical NeuroimagingBrain-Cognition Fingerprinting via Graph-GCCA with Contrastive Learning
- Nature Machine Intelligence (T1)Data-Driven Discovery of Movement-Linked Heterogeneity in Neurodegenerative Diseases
- CVPR WorkshopEnforcing Conditional Independence for Fair Representation Learning and Causal Image Generation,
- European Heart Journal: Digital HealthEvaluating Large Language Models in Echocardiography Reporting: Opportunities and Challenges
- Medical Image Analysis (T1)Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets,
- Pattern RecognitionFedNN: Federated learning on concept drift data using weight and adaptive group normalizations,
- Artificial Intelligence (AAAI) , AAAI PressFew Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection,
- BMVCFew-Shot Classification of Interactive Activities of Daily Living (InteractADL)
- MICCAI GRaphs in biomedical Image analysisGAMMA-PD: Graph-based Analysis of Multi-Modal Motor Impairment Assessments in Parkinson’s Disease
- Computer Vision and Pattern Recognition (CVPR)H-ViT: A Hierarchical Vision Transformer for Deformable Image Registration,
- TPAMI (T1)Medical Image Segmentation Review: The success of U-Net
20237 papers
- Medical Image Computing and Computer Assisted Intervention (MICCAI ), Lecture Notes in Computer ScienceAn Explainable Geometric-Weighted Graph Attention Network for Identifying Functional Networks Associated with Gait Impairment,
- GeroScience.CCA identifies a neurophysiological marker of adaptation capacity that is reliably linked to internal locus of control of cognition in amnestic MCI,
- Medical Image Computing and Computer Assisted Intervention (MICCAI ), Lecture Notes in Computer ScienceGenerating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model,
- Medical Image Computing and Computer Assisted Intervention (MICCAI ), Lecture Notes in Computer ScienceLSOR: Longitudinally-Consistent Self-Organized Representation Learning,
- Medical Image Computing and Computer Assisted Intervention (MICCAI ), Lecture Notes in Computer ScienceOne-shot Federated Learning on Medical Data using Knowledge Distillation with Image Synthesis and Client Model Adaptation,
- International Conference on Computer Vision (ICCV ), IEEERendering Humans from Object-Occluded Monocular Videos,
- ICCV WorkshopTransformers Pay Attention to Convolutions: Leveraging Emerging Properties of ViTs by Dual Attention-Image Network,
Where alumni went53 listed, 67% to industry
Industry 2Academia 1
Most often to
- Apple
- Rhoda AI
Also to
- UIUC
Apply to StanfordFall 2027
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