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NYU Dataset
Model-Based Deep Brain Stimulation Programming for Parkinson’s Disease: The GUIDE Pilot Study
- Authors
- Michael H. PourfarAlon Y. MogilnerSierra FarrisMonique Girouz5 more author(s)...
- Description
This dataset was compiled as part of the Graphic User Interface for deep brain stimulation (DBS) Evaluation (GUIDE) study, a multicenter prospective pilot study designed to assess whether a computer-guided model could provide equally effective and more expeditious programming results when compared with the traditional, clinical deduced method of DBS programming of the subthalamic nucleus (STN). 26...
- Subject
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Chronic DiseaseNeuroscienceSurgery
- Access Rights
- Application RequiredAuthor Approval Required
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NYU Dataset
Predictive Modeling Software: Neuroanatomical Age Prediction Using R
- Alternate Title(s)
- NAPR
- Authors
- Heath R. PardoeRuben Kuzniecky
- Description
Neuroanatomical Age Prediction Using R (NAPR) is a framework that provides network-based access to predictive modeling software running on a persistent Amazon Web Services (AWS) computing instance. External users may estimate the age of individual subjects using cortical thickness maps derived from their own locally processed T1-weighted whole brain MRI scans. The model was trained using healthy control...
- Subject
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Health StatusNeuroscience
- Access Rights
- Free to All
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NYU Dataset
Benchmark Dataset for Automatic Glottis Segmentation
- Alternate Title(s)
- BAGLS dataset
- Authors
- Pablo GomezAndreas M. KistPatrick SchlegelDavid A. Berry10 more author(s)...
- Description
The Benchmark for Automatic Glottis Segmentation (BAGLS) dataset contains 59,250 high-speed laryngeal videoendoscopy frames and individually annotated segmentation masks obtained from anonymized recordings of 640 consenting subjects across multiple hospitals in Europe and the United States. Participating institutions were Boston University; Louisiana State University; New York University; Sint-Augustinus...
- Subject
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Anatomy
- Access Rights
- Free to All
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NYU Dataset
Neural recordings from the visual cortex and the prearcuate gyrus of macaque monkeys
- Authors
- Ori MaozGasper TkacikMohamad Saleh EstekiRoozbeh Kiani1 more author(s)...
- Description
This data collection includes neural recordings obtained from the visual cortex (V1 and V2) and prearcurate gyrus (8Ar) of macaque monkeys (Macaca nemestrina and Macaca mulatta) during a direction discrimination task and code for replicating the modeling of neural representations. 96-channel microelectrode Utah arrays were implanted across the border of the V1 and V2 visual cortices of Macaca nemestrina....
- Subject
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Neuroscience
- Access Rights
- Free to All
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NYU Dataset
Radiologist and Deep Neural Network Predictions for Low-pass Filtered Mammograms
- Authors
- Taro MakinoStanisław JastrzębskiWitold OleszkiewiczCelin Chacko17 more author(s)...
- Description
Investigators manipulated images from the NYU Breast Cancer Screening Dataset to identify differences in the the features of perception used in diagnosis by radiologists versus deep neural networks (DNNs). Two studies were conducted. In the reader study, a set of 720 exams were processed with Gaussian low-pass filtering at varying severity levels and ten radiologists and five DNNs (trained on unperturbed...
- Subject
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Cancer
- Access Rights
- Free to All
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NYU Dataset
NYUTron: Health System Scale Language Models Are All-purpose Prediction Engines
- Authors
- Lavender Yao JiangXujin Chris LiuNima Pour NejatianMustafa Nasir-Moin24 more author(s)...
- Description
NYUTron is a large language model-based system that was developed with the objective of integrating clinical workflows centered around structured and unstructured notes and placing electronic orders in real time. The development team queried electronic health records from all NYU Langone facilities to generate two types of datasets: pre-training datasets ("NYU Notes", "NYU Notes–Manhattan", "NYU Notes–Brooklyn")...
- Subject
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Electronic Health Records
- Access Rights
- Free to All