Andreas Rauschecker, MD, PhD's Publications

Applications of Artificial Intelligence and Advanced Imaging in Pediatric Diffuse Midline Glioma.

Automated Lesion and Feature Extraction Pipeline for Brain MRIs with Interpretability.

Detecting New Lesions Using a Large Language Model: Applications in Real-World Multiple Sclerosis Datasets.

Enhancing Large Language Models with Retrieval-Augmented Generation: A Radiology-Specific Approach.

Identification of genomic biomarkers of disease progression and survival in primary CNS lymphoma.

Neurocognitive and brain structure correlates of reading and television habits in early adolescence.

One System to Rule Them All? Task- and Data-specific Considerations for Automated Data Extraction.

Prediction of cerebrospinal fluid intervention in fetal ventriculomegaly via AI-powered normative modelling.

Use of FDG-PET in Balamuthia mandrillaris Amebic Encephalitis.

A multi-institutional meningioma MRI dataset for automated multi-sequence image segmentation.

Artificial Intelligence Outcome Prediction in Neonates with Encephalopathy (AI-OPiNE).

Automated neonatal nnU-Net brain MRI extractor trained on a large multi-institutional dataset.

Differences in educational opportunity predict white matter development.

Standardizing qualitative assessments of developing myelination on brain MRI.

The Brain Tumor Segmentation - Metastases (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI.

The University of California San Francisco Adult Longitudinal Post-Treatment Diffuse Glioma MRI Dataset.

The University of California San Francisco Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) MRI Dataset.

White matter and literacy: A dynamic system in flux.

3D U-Net for automated detection of multiple sclerosis lesions: utility of transfer learning from other pathologies.

Bayesian Networks in Radiology.

Beyond the AJR: Deep Learning Shows Promise in the Detection of Retinal Hemorrhage on Pediatric Head CT.

Critical Appraisal of Artificial Intelligence-Enabled Imaging Tools Using the Levels of Evidence System.

Reducing Gadolinium Contrast With Artificial Intelligence.

Tafasitamab at the blood-brain barrier.

The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma.

An Integrated Analysis of Clinical, Genomic, and Imaging Features Reveals Predictors of Neurocognitive Outcomes in a Longitudinal Cohort of Pediatric Cancer Survivors, Enriched with CNS Tumors (Rad ART Pro).

Application of a Domain-specific BERT for Detection of Speech Recognition Errors in Radiology Reports.

Combining radiomics and deep convolutional neural network features from preoperative MRI for predicting clinically relevant genetic biomarkers in glioblastoma.

Deep Learning to Predict Neonatal and Infant Brain Age from Myelination on Brain MRI Scans.

Development of Gestational Age-Based Fetal Brain and Intracranial Volume Reference Norms Using Deep Learning.

Diagnostic Approach to Pulsatile Tinnitus: A Narrative Review.

Longitudinal Assessment of Posttreatment Diffuse Glioma Tissue Volumes with Three-dimensional Convolutional Neural Networks.

The University of California San Francisco Preoperative Diffuse Glioma MRI Dataset.

Automated multiclass tissue segmentation of clinical brain MRIs with lesions.

Brain MRI Deep Learning and Bayesian Inference System Augments Radiology Resident Performance.

Detection of Neoplasms by Metagenomic Next-Generation Sequencing of Cerebrospinal Fluid.

Feasibility of Simulated Postcontrast MRI of Glioblastomas and Lower-Grade Gliomas by Using Three-dimensional Fully Convolutional Neural Networks.

Interinstitutional Portability of a Deep Learning Brain MRI Lesion Segmentation Algorithm.

Rates of Incidental Findings in Brain Magnetic Resonance Imaging in Children.

Three-dimensional U-Net Convolutional Neural Network for Detection and Segmentation of Intracranial Metastases.

Artificial Intelligence System Approaching Neuroradiologist-level Differential Diagnosis Accuracy at Brain MRI.

Diverse Applications of Artificial Intelligence in Neuroradiology.

Medical Image Analysis: Human and Machine.

Subspecialty-Level Deep Gray Matter Differential Diagnoses with Deep Learning and Bayesian Networks on Clinical Brain MRI: A Pilot Study.

Artificial intelligence for precision education in radiology.

Convolutional Neural Network for Automated FLAIR Lesion Segmentation on Clinical Brain MR Imaging.

Emerging Applications of Artificial Intelligence in Neuro-Oncology.

Multi-Disease Segmentation of Gliomas and White Matter Hyperintensities in the BraTS Data Using a 3D Convolutional Neural Network.

Comparing Clinical Perimetry and Population Receptive Field Measures in Patients with Choroideremia.

Neuroimaging of Dilated Perivascular Spaces: From Benign and Pathologic Causes to Mimics.

App Review Series: RadioGraphics.

Esophageal Lichen Planus: Clinical and Radiographic Findings in Eight Patients.

Asynchronous broadband signals are the principal source of the BOLD response in human visual cortex.

Human hippocampal increases in low-frequency power during associative prediction violations.

Anatomy of the visual word form area: adjacent cortical circuits and long-range white matter connections.

High-resolution MR imaging of the orbit in patients with retinoblastoma.

Position sensitivity in the visual word form area.

Differential electrophysiological response during rest, self-referential, and non-self-referential tasks in human posteromedial cortex.

Illusions of visual motion elicited by electrical stimulation of human MT complex.

Learning to see words.

Problem of signal contamination in interhemispheric dual-sided subdural electrodes.

Visual feature-tolerance in the reading network.

Changes in neural activity associated with learning to articulate novel auditory pseudowords by covert repetition.

Reading impairment in a patient with missing arcuate fasciculus.

Stereo and motion parallax cues in human 3D vision: can they vanish without a trace?

Phosphene threshold as a function of contrast of external visual stimuli.