Todd Hollon
Associate Professor, Neurosurgery
Develops medical AI for neurological disease, including self-supervised and multimodal foundation models for intraoperative histology and neuroimaging.
Todd Hollon's lab at Michigan works on medical imaging & healthcare AI, neuroscience & brain-computer interfaces and generative & foundation models. 33 papers since 2023, mostly NPJ DIGITAL MEDICINE ·. 8 PhD students. 9 alumni, most often to Amazon. Applications close .
At a glance
- papers, 2023–2026
- 9/ year
- at T1 venues
- 0%
- PhD students
- 8
- MS students
- 0
- alumni listed
- 9
Papers by yearfrom the lab homepage, 2023–2026
- 15 papers2026 · T1 0 · collecting
- 9 papers2025 · T1 0
- 2 papers2024 · T1 0
- 7 papers2023 · T1 0
T1 venuesOtherVenues: NPJ DIGITAL MEDICINE ·
Research focuspaper titles that use each topic's words
- Medical imaging & healthcare AI7 papers
- Generative & foundation models4 papers
- neuroimaging3 papers
- Neuroscience & brain-computer interfaces2 papers
- develops medical0 papers
Paper list
From the lab homepage.
202615 papers
- NPJ DIGITAL MEDICINE ·AI-driven label-free Raman spectromics for intraoperative spinal tumor assessment (opens in a new tab)
- NEUROSURGERY PRACTICE ·AI-Powered Pipeline Transforms Neurosurgical Articles Into High-Quality Graphical Abstracts (opens in a new tab)
- NEUROSURGERY ·Anatomic Predilection of Isocitrate Dehydrogenase-Mutant Gliomas: A Multi-Institutional Spatial Analysis (opens in a new tab)
- NEUROSURGERY ·CNS-Obsidian: A Neurosurgical Vision-Language Model Built From Scientific Publications (opens in a new tab)
- COMPUTER VISION AND PATTERN RECOGNITION ·CodeV: Code with Images for Faithful Visual Reasoning via Tool-Aware Policy Optimization (opens in a new tab)
- NATURE MEDICINE ·Health system learning enables generalist neuroimaging models (opens in a new tab)
- NEURO-ONCOLOGY ADVANCES ·Intelligent histology for tumor neurosurgery (opens in a new tab)
- COMPUTER VISION AND PATTERN RECOGNITION ·Learning complete and explainable visual representations from itemized text supervision (opens in a new tab)
- NATURE MEDICINE ·Learning from routine health system data builds better neuroimaging AI models (opens in a new tab)
- NATURE BIOMEDICAL ENGINEERING ·Learning neuroimaging models with health system-scale data (opens in a new tab)
- JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY ·Minimizing the risks of stereotactic brain biopsy in suspected central nervous system lymphoma: a retrospective database study (opens in a new tab)
- NEUROSURGERY ·Natural Language Processing Methods Automate Molecular Marker Extraction From Glioma Pathology Reports (opens in a new tab)
20259 papers
- INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY, BIOLOGY, PHYSICS ·A Phase 2 Study of Multiparametric Magnetic Resonance Imaging-Guided High-Dose Response-Adaptive Radiation Therapy With Concurrent Temozolomide in Patients With Newly Diagnosed Glioblastoma: Results From an Interim Analysis (opens in a new tab)
- NEURO-ONCOLOGY ·Fast intraoperative detection of primary central nervous system lymphoma and differentiation from common central nervous system tumors using stimulated Raman histology and deep learning (opens in a new tab)
- NATURE ·Foundation models for fast, label-free detection of glioma infiltration (opens in a new tab)
- SMALL ·HDL Nanodiscs Loaded with Liver X Receptor Agonist Decreases Tumor Burden and Mediates Long-term Survival in Mouse Glioma Model (opens in a new tab)
- SCIENCE ADVANCES ·Predicting therapeutic clinical trial enrollment for adult patients with low- and high-grade glioma using supervised machine learning (opens in a new tab)
- STAR PROTOCOLS ·Protocol to annotate and automate single-cell instance segmentation on stimulated Raman histology using deep learning (opens in a new tab)
- AAAI ·Step-Calibrated Diffusion for Biomedical Optical Image Restoration (opens in a new tab)
- CANCERS (BASEL) ·The Intraoperative Utility of Raman Spectroscopy for Neurosurgical Oncology (opens in a new tab)
- NEUROSURGERY FOCUS ·Validation of a novel artificial intelligence model (SpinePose) to automatically and accurately predict spinopelvic parameters using scoliosis radiographs in an external cohort (opens in a new tab)
20242 papers
- JOURNAL OF NEUROSURGERY SPINE ·Development and Validation of an Artificial Intelligence Model to Accurately Predict Spinopelvic Parameters (opens in a new tab)
- NATURE BIOMEDICAL ENGINEERING ·Localization of protoporphyrin IX during glioma-resection surgery via paired stimulated Raman histology and fluorescence microscopy (opens in a new tab)
20237 papers
- WORLD NEUROSURGERY X ·A comparison of ventricular volume and linear indices in predicting shunt dependence in aneurysmal subarachnoid hemorrhage (opens in a new tab)
- NATURE MEDICINE ·AI-based molecular classification of diffuse gliomas using rapid, label-free optical imaging (opens in a new tab)
- LANCET ONCOLOGY ·Combined cytotoxic and immune-stimulatory gene therapy for primary adult high-grade glioma: a phase 1, first-in- human trial (opens in a new tab)
- STAR PROTOCOLS ·Generation of 3D ex vivo mouse- and patient-derived glioma explant slice model for integration of confocal time-lapse imaging and spatial analysis (opens in a new tab)
- COMPUTER VISION AND PATTERN RECOGNITION ·Hierarchical Discriminative Learning Improves Visual Representations of Biomedical Microscopy (opens in a new tab)
- NEOPLASIA ·Subclonal evolution and expansion of spatially distinct THY1-positive cells is associated with recurrence in glioblastoma (opens in a new tab)
- MED ·Unlocking glioma genetics with deep learning (opens in a new tab)
Where alumni went9 listed, 60% to industry
Industry 3Academia 2
Most often to
- Amazon
Also to
- NYU
- UIUC
Apply to MichiganFall 2027
Michigan CSE Computer Science PhD
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Not yet confirmed for this intake.
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