742 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- New York UniversityUS36 papers
- Center for Advanced Imaging Innovation and ResearchUS6 papers
- Courant Institute of Mathematical SciencesUS6 papers
- Harvard UniversityUS5 papers
- Massachusetts General HospitalUS4 papers
- CEA Paris-SaclayFR3 papers
- Centre Inria de SaclayFR3 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR3 papers
- Flatiron Institute3 papers
- The University of Texas at AustinUS3 papers
- Université Paris-SaclayFR3 papers
52 papers
Large Language Models Predict Functional Outcomes after Acute Ischemic Stroke
Anjali K. Kapoor, Anton Alyakin, Jin Vivian Lee +8
Accurate prediction of functional outcomes after acute ischemic stroke can inform clinical decision-making and resource allocation. Prior work on modified Rankin Scale (mRS) predic…
Leveraging Fine-Tuned Large Language Models for Interpretable Pancreatic Cystic Lesion Feature Extraction and Risk Categorization
Ebrahim Rasromani, Stella K. Kang, Yanqi Xu +14
Background: Manual extraction of pancreatic cystic lesion (PCL) features from radiology reports is labor-intensive, limiting large-scale studies needed to advance PCL research. Pur…
Text-Driven Weakly Supervised OCT Lesion Segmentation with Structural Guidance
Jiaqi Yang, Nitish Mehta, Xiaoling Hu +2
Accurate segmentation of Optical Coherence Tomography (OCT) images is crucial for diagnosing and monitoring retinal diseases. However, the labor-intensive nature of pixel-level ann…
MedMobile: A mobile-sized language model with clinical capabilities
Krithik Vishwanath, Jaden Stryker, Anton Alyakin +2
Language models (LMs) have demonstrated expert-level reasoning and recall abilities in medicine. However, computational costs and privacy concerns are mounting barriers to wide-sca…
Multi-TE Single-Quantum Sodium (23Na) MRI: A Clinically Translatable Technique for Separation of Mono- and Bi-T2 Sodium Signals
Yongxian Qian, Ying-Chia Lin, Xingye Chen +3
Sodium magnetic resonance imaging (MRI) is sensitive and specific to ionic balance of cells owing to 10 fold difference in sodium concentration across membrane actively maintained…
Understanding differences in applying DETR to natural and medical images
Yanqi Xu, Yiqiu Shen, Carlos Fernandez-Granda +2
Transformer-based detectors have shown success in computer vision tasks with natural images. These models, exemplified by the Deformable DETR, are optimized through complex enginee…
An experimental system for detection and localization of hemorrhage using ultra-wideband microwaves with deep learning
Eisa Hedayati, Fatemeh Safari, George Verghese +4
Stroke is a leading cause of mortality and disability. Emergent diagnosis and intervention are critical, and predicated upon initial brain imaging; however, existing clinical imagi…
The Past, Present, and Future of the Brain Imaging Data Structure (BIDS)
Russell A. Poldrack, Christopher J. Markiewicz, Stefan Appelhoff +111
The Brain Imaging Data Structure (BIDS) is a community-driven standard for the organization of data and metadata from a growing range of neuroscience modalities. This paper is mean…
HeartBEiT: Vision Transformer for Electrocardiogram Data Improves Diagnostic Performance at Low Sample Sizes
Akhil Vaid, Joy Jiang, Ashwin Sawant +9
The electrocardiogram (ECG) is a ubiquitous diagnostic modality. Convolutional neural networks (CNNs) applied towards ECG analysis require large sample sizes, and transfer learning…
Novel Radiomic Measurements of Tumor- Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers
Nathaniel Braman, Prateek Prasanna, Kaustav Bera +14
Purpose: Tumor-associated vasculature differs from healthy blood vessels by its chaotic architecture and twistedness, which promotes treatment resistance. Measurable differences in…
Network-Aware 5G Edge Computing for Object Detection: Augmenting Wearables to "See" More, Farther and Faster
Zhongzheng Yuan, Tommy Azzino, Yu Hao +12
Advanced wearable devices are increasingly incorporating high-resolution multi-camera systems. As state-of-the-art neural networks for processing the resulting image data are compu…
Rapid Automated Analysis of Skull Base Tumor Specimens Using Intraoperative Optical Imaging and Artificial Intelligence
Cheng Jiang, Abhishek Bhattacharya, Joseph Linzey +19
Background: Accurate diagnosis of skull base tumors is essential for providing personalized surgical treatment strategies. Intraoperative diagnosis can be challenging due to tumor…
Consistency checks of results from a Monte Carlo code intercomparison for emitted electron spectra and energy deposition around a single gold nanoparticle irradiated by X-rays
H. Rabus, W. B. Li, H. Nettelbeck +9
Organized by the European Radiation Dosimetry Group (EURADOS), a Monte Carlo code intercomparison exercise was conducted where participants simulated the emitted electron spectra a…
Uncertainty guided semi-supervised segmentation of retinal layers in OCT images
Suman Sedai, Bhavna Antony, Ravneet Rai +5
Deep convolutional neural networks have shown outstanding performance in medical image segmentation tasks. The usual problem when training supervised deep learning methods is the l…
Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction
Matthew J. Muckley, Bruno Riemenschneider, Alireza Radmanesh +20
Accelerating MRI scans is one of the principal outstanding problems in the MRI research community. Towards this goal, we hosted the second fastMRI competition targeted towards reco…
Optimization of MR Fingerprinting for Free-Breathing Quantitative Abdominal Imaging
Max H. C. van Riel, Zidan Yu, Shota Hodono +4
In this work, we propose a free-breathing magnetic resonance fingerprinting method that can be used to obtain -robust quantitative maps of the abdomen in a clinically accept…
BERT-XML: Large Scale Automated ICD Coding Using BERT Pretraining
Zachariah Zhang, Jingshu Liu, Narges Razavian
Clinical interactions are initially recorded and documented in free text medical notes. ICD coding is the task of classifying and coding all diagnoses, symptoms and procedures asso…
SuperDTI: Ultrafast diffusion tensor imaging and fiber tractography with deep learning
Hongyu Li, Zifei Liang, Chaoyi Zhang +9
Purpose: To propose a deep learning-based reconstruction framework for ultrafast and robust diffusion tensor imaging and fiber tractography. Methods: We propose SuperDTI to learn t…
In vivo observation and biophysical interpretation of time-dependent diffusion in human cortical gray matter
Hong-Hsi Lee, Antonios Papaioannou, Dmitry S. Novikov +1
The dependence of the diffusion MRI signal on the diffusion time is a hallmark of tissue microstructure at the scale of the diffusion length. Here we measure the time-dependenc…
Variationally Regularized Graph-based Representation Learning for Electronic Health Records
Weicheng Zhu, Narges Razavian
Electronic Health Records (EHR) are high-dimensional data with implicit connections among thousands of medical concepts. These connections, for instance, the co-occurrence of disea…
On the design of convolutional neural networks for automatic detection of Alzheimer's disease
Sheng Liu, Chhavi Yadav, Carlos Fernandez-Granda +1
Early detection is a crucial goal in the study of Alzheimer's Disease (AD). In this work, we describe several techniques to boost the performance of 3D deep convolutional neural ne…
Semantic and Cognitive Tools to Aid Statistical Science: Replace Confidence and Significance by Compatibility and Surprise
Zad Rafi, Sander Greenland
Researchers often misinterpret and misrepresent statistical outputs. This abuse has led to a large literature on modification or replacement of testing thresholds and -values wi…
A Neural Network for Semi-Supervised Learning on Manifolds
Alexander Genkin, Anirvan M. Sengupta, Dmitri Chklovskii
Semi-supervised learning algorithms typically construct a weighted graph of data points to represent a manifold. However, an explicit graph representation is problematic for neural…
Motion Browser: Visualizing and Understanding Complex Upper Limb Movement Under Obstetrical Brachial Plexus Injuries
Gromit Yeuk-Yin Chan, Luis Gustavo Nonato, Alice Chu +3
The brachial plexus is a complex network of peripheral nerves that enables sensing from and control of the movements of the arms and hand. Nowadays, the coordination between the mu…