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A. Rauschecker · SciRah

Researcher profile · Semantic Scholar

A. Rauschecker

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A. Rauschecker — researcher profile on SciRah

h-index: 31
Works: 128
Citations: 3,362

Most-cited papers

The University of California San Francisco Preoperative Diffuse Glioma MRI Dataset.
E. Calabrese, J. Villanueva-Meyer, J. Rudie, A. Rauschecker +5 more
2021Radiology: Artificial Intelligence216 citations Open access
Semantic Scholar
Emerging Applications of Artificial Intelligence in Neuro-Oncology
J. Rudie, A. Rauschecker, R. N. Bryan, C. Davatzikos +1 more
2019Radiology212 citations Open access
Semantic Scholar
Artificial intelligence for precision education in radiology.
M. T. Duong, A. Rauschecker, J. Rudie, Po-Hao Chen +3 more
2019British Journal of Radiology164 citations Open access
Semantic Scholar
The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI
Maria Correia de Verdier, Rachit Saluja, Louis Gagnon, D. LaBella +81 more
2024arXiv.org153 citations
Semantic Scholar
Artificial Intelligence System Approaching Neuroradiologist-level Differential Diagnosis Accuracy at Brain MRI.
A. Rauschecker, J. Rudie, Long Xie, Jiancong Wang +9 more
2020Radiology126 citations Open access
Semantic Scholar
The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma
D. LaBella, M. Adewole, M. Alonso-Basanta, T. Altes +56 more
2023arXiv.org85 citations Open access
Semantic Scholar
Combining radiomics and deep convolutional neural network features from preoperative MRI for predicting clinically relevant genetic biomarkers in glioblastoma
E. Calabrese, J. Rudie, A. Rauschecker, J. Villanueva-Meyer +3 more
2022Neuro-Oncology Advances78 citations Open access
Semantic Scholar
Convolutional Neural Network for Automated FLAIR Lesion Segmentation on Clinical Brain MR
M. T. Duong, J. Rudie, Jiancong Wang, Long Xie +3 more
2019American Journal of Neuroradiology65 citations Open access
Semantic Scholar
The Brain Tumor Segmentation - Metastases (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI
A. Moawad, A. Janas, U. Baid, D. Ramakrishnan +228 more
2023arXiv.org61 citations
Semantic Scholar
Three-dimensional U-Net Convolutional Neural Network for Detection and Segmentation of Intracranial Metastases.
J. Rudie, D. Weiss, John B. Colby, A. Rauschecker +5 more
2021Radiology: Artificial Intelligence58 citations Open access
Semantic Scholar
Feasibility of Simulated Postcontrast MRI of Glioblastomas and Lower-Grade Gliomas by Using Three-dimensional Fully Convolutional Neural Networks.
E. Calabrese, J. Rudie, A. Rauschecker, J. Villanueva-Meyer +1 more
2021Radiology: Artificial Intelligence50 citations Open access
Semantic Scholar
Diagnostic Approach to Pulsatile Tinnitus: A Narrative Review.
K. Narsinh, F. Hui, D. Saloner, A. Tu-Chan +6 more
2022JAMA Otolaryngology - Head and Neck Surgery49 citations
Semantic Scholar
Multi-Disease Segmentation of Gliomas and White Matter Hyperintensities in the BraTS Data Using a 3D Convolutional Neural Network
J. Rudie, D. Weiss, Rachit Saluja, A. Rauschecker +4 more
2019Frontiers in Computational Neuroscience43 citations Open access
Semantic Scholar
The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI
A. Moawad, A. Janas, U. Baid, D. Ramakrishnan +227 more
2025Machine Learning for Biomedical Imaging41 citations Open access
Semantic Scholar
The University of California San Francisco, Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) MRI Dataset
J. Rudie, Rachit Saluja, D. Weiss, Pierre Nedelec +9 more
2023Radiology: Artificial Intelligence38 citations Open access
Semantic Scholar
Rates of Incidental Findings in Brain Magnetic Resonance Imaging in Children.
Yi Li, Wesley K. Thompson, Chase Reuter, R. Nillo +105 more
2021JAMA Neurology36 citations Open access
Semantic Scholar
A multi-institutional meningioma MRI dataset for automated multi-sequence image segmentation
D. LaBella, O. Khanna, Shan McBurney-Lin, Ryan McLean +70 more
2024Scientific Data34 citations Open access
Semantic Scholar
Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge
D. LaBella, U. Baid, O. Khanna, Shan McBurney-Lin +118 more
2024Machine Learning for Biomedical Imaging34 citations Open access
Semantic Scholar
Deep Learning to Predict Neonatal and Infant Brain Age from Myelination on Brain MRI Scans.
J. V. Chen, Gunvant R. Chaudhari, C. Hess, O. Glenn +3 more
2022Radiology34 citations
Semantic Scholar
Diverse Applications of Artificial Intelligence in Neuroradiology
M. T. Duong, A. Rauschecker, S. Mohan
2020Neuroimaging clinics of North America30 citations Open access
Semantic Scholar
Enhancing Large Language Models with Retrieval-augmented Generation: A Radiology-specific Approach.
Dane A. Weinert, A. Rauschecker
2025Radiology: Artificial Intelligence28 citations
Semantic Scholar
White matter and literacy: A dynamic system in flux
Ethan Roy, Adam C. Richie-Halford, J. Kruper, Manjari Narayan +9 more
2023bioRxiv28 citations Open access
Semantic Scholar
Subspecialty-Level Deep Gray Matter Differential Diagnoses with Deep Learning and Bayesian Networks on Clinical Brain MRI: A Pilot Study.
J. Rudie, A. Rauschecker, Long Xie, Jiancong Wang +9 more
2020Radiology: Artificial Intelligence27 citations Open access
Semantic Scholar
Reducing Gadolinium Contrast With Artificial Intelligence
Brian Q. Tsui, Evan Calabrese, G. Zaharchuk, A. Rauschecker
2023Journal of Magnetic Resonance Imaging26 citations
Semantic Scholar
Artificial Intelligence Outcome Prediction in Neonates with Encephalopathy (AI-OPiNE).
Christopher O. Lew, Evan Calabrese, Joshua V Chen, Felicia Tang +10 more
2024Radiology: Artificial Intelligence25 citations Open access
Semantic Scholar
Interinstitutional Portability of a Deep Learning Brain MRI Lesion Segmentation Algorithm.
A. Rauschecker, Tyler Gleason, Pierre Nedelec, M. T. Duong +6 more
2021Radiology: Artificial Intelligence24 citations Open access
Semantic Scholar
Analysis of the MICCAI Brain Tumor Segmentation -- Metastases (BraTS-METS) 2025 Lighthouse Challenge: Brain Metastasis Segmentation on Pre- and Post-treatment MRI
Nazanin Maleki, R. Amiruddin, A. Moawad, N. Yordanov +239 more
202522 citations
Semantic Scholar
Differences in educational opportunity predict white matter development
Ethan Roy, Amandine Van Rinsveld, Pierre Nedelec, Adam C. Richie-Halford +5 more
2024Developmental Cognitive Neuroscience22 citations Open access
Semantic Scholar
Longitudinal Assessment of Posttreatment Diffuse Glioma Tissue Volumes with Three-dimensional Convolutional Neural Networks.
J. Rudie, E. Calabrese, Rachit Saluja, D. Weiss +6 more
2022Radiology: Artificial Intelligence21 citations Open access
Semantic Scholar
Detection of Neoplasms by Metagenomic Next-Generation Sequencing of Cerebrospinal Fluid.
W. Gu, A. Rauschecker, Elaine D. Hsu, K. Zorn +22 more
2021JAMA Neurology21 citations Open access
Semantic Scholar
Critical Appraisal of Artificial Intelligence–Enabled Imaging Tools Using the Levels of Evidence System
N. Pham, V. Hill, A. Rauschecker, Y. Lui +5 more
2023American Journal of Neuroradiology19 citations Open access
Semantic Scholar
Application of a Domain-specific BERT for Detection of Speech Recognition Errors in Radiology Reports.
Gunvant R. Chaudhari, Tengxiao Liu, Timothy L. Chen, G. Joseph +7 more
2022Radiology: Artificial Intelligence19 citations Open access
Semantic Scholar
Comparing Clinical Perimetry and Population Receptive Field Measures in Patients with Choroideremia
E. Silson, T. Aleman, Aimee Willett, Leona W. Serrano +6 more
2018Investigative Ophthalmology and Visual Science19 citations Open access
Semantic Scholar
Bayesian Networks in Radiology.
Shawn X. Ma, A. Dhanaliwala, J. Rudie, A. Rauschecker +3 more
2023Radiology: Artificial Intelligence18 citations Open access
Semantic Scholar
Automated multiclass tissue segmentation of clinical brain MRIs with lesions
D. Weiss, Rachit Saluja, Long Xie, J. Gee +5 more
2021NeuroImage: Clinical18 citations Open access
Semantic Scholar
Automated neonatal nnU-Net brain MRI extractor trained on a large multi-institutional dataset
Joshua V Chen, Yi Li, Felicia Tang, Gunvant Chaudhari +6 more
2024Scientific Reports17 citations Open access
Semantic Scholar
3D U-Net for automated detection of multiple sclerosis lesions: utility of transfer learning from other pathologies
Stephen G. Wahlig, Pierre Nedelec, D. Weiss, J. Rudie +2 more
2023Frontiers in Neuroscience14 citations Open access
Semantic Scholar
Brain MRI Deep Learning and Bayesian Inference System Augments Radiology Resident Performance
J. Rudie, J. Duda, M. T. Duong, Po-Hao Chen +12 more
2021Journal of digital imaging12 citations Open access
Semantic Scholar
Detecting New Lesions Using a Large Language Model: Applications in Real‐World Multiple Sclerosis Datasets
S. Poole, N. Sisodia, K. Koshal, K. Henderson +10 more
2025Annals of Neurology11 citations Open access
Semantic Scholar
Social Media Use Trajectories and Cognitive Performance in Adolescents.
Jason M. Nagata, Jennifer H. Wong, Kristen E. Kim, Racquel A. Richardson +7 more
2025Journal of the American Medical Association (JAMA)11 citations Open access
Semantic Scholar
Neurocognitive and brain structure correlates of reading and television habits in early adolescence
A. Rauschecker, Pierre Nedelec, Simon Pan, Maria-Alexandra Olaru +6 more
2025Scientific Reports11 citations Open access
Semantic Scholar
Analysis of the 2024 BraTS Meningioma Radiotherapy Planning Automated Segmentation Challenge
D. LaBella, Valeriia Abramova, Mehdi Astaraki, André Ferreira +101 more
202410 citations
Semantic Scholar
The University of California San Francisco Adult Longitudinal Post-Treatment Diffuse Glioma (UCSF-ALPTDG) MRI Dataset.
Brandon K.K. Fields, Evan Calabrese, John T. Mongan, S. Cha +7 more
2024Radiology: Artificial Intelligence10 citations Open access
Semantic Scholar
Medical Image Analysis: Human and Machine
R. Bryan, C. Davatzikos, E. Herskovits, Suyash Mohan +2 more
2020Academic Radiology10 citations Open access
Semantic Scholar
Mechanistic Learning with Guided Diffusion Models to Predict Spatio-Temporal Brain Tumor Growth
Daria Laslo, Efthymios Georgiou, M. Linguraru, A. Rauschecker +3 more
2025LMID@MICCAI8 citations
Semantic Scholar
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)
C. Kline, Schuyler Stoller, Lennox Byer, David Samuel +8 more
2022Frontiers in Oncology8 citations Open access
Semantic Scholar
Review of Artificial Intelligence for Clinical Use in Alzheimer’s Disease and Related Dementias
A. Breithaupt, Alice Tang, E. Paolillo, M. Bibars +10 more
2025Seminars in neurology7 citations Open access
Semantic Scholar
Development of Gestational Age–Based Fetal Brain and Intracranial Volume Reference Norms Using Deep Learning
Carol Tran, Pierre Nedelec, D. Weiss, J. Rudie +5 more
2022American Journal of Neuroradiology7 citations Open access
Semantic Scholar
AI for Radiology: A Primer Part I. From Idea to Algorithm.
Ali S. Tejani, A. Rauschecker, M. Kohli, J. Mongan
2025Radiology6 citations Open access
Semantic Scholar
Artificial intelligence in the detection of multiple sclerosis plaques: Can it influence the treatment decision?
Milica Mastilović, Verónica Muños-Ramírez, A. Rauschecker, J. Boban +4 more
2025Journal of neuroradiology = Journal de neuroradiologie5 citations Open access
Semantic Scholar

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