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05/15/2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting
A myriad of algorithms for the automatic analysis of brain MR images is ...
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04/17/2023
BenchMD: A Benchmark for Modality-Agnostic Learning on Medical Images and Sensors
Medical data poses a daunting challenge for AI algorithms: it exists in ...
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03/23/2023
Federated Learning on Heterogenous Data using Chest CT
Large data have accelerated advances in AI. While it is well known that ...
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09/24/2021
NanoBatch DPSGD: Exploring Differentially Private learning on ImageNet with low batch sizes on the IPU
Differentially private SGD (DPSGD) has recently shown promise in deep le...
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07/05/2021
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification
The BraTS 2021 challenge celebrates its 10th anniversary and is jointly ...
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02/09/2021
A Real-World Demonstration of Machine Learning Generalizability: Intracranial Hemorrhage Detection on Head CT
Machine learning (ML) holds great promise in transforming healthcare. Wh...
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10/26/2020
Deep Sequential Learning for Cervical Spine Fracture Detection on Computed Tomography Imaging
Fractures of the cervical spine are a medical emergency and may lead to ...
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09/24/2018
Cylindrical Transform: 3D Semantic Segmentation of Kidneys With Limited Annotated Images
In this paper, we propose a novel technique for sampling sequential imag...
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12/29/2017
Recent Advances in Recurrent Neural Networks
Recurrent neural networks (RNNs) are capable of learning features and lo...
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11/08/2017
Generalization of Deep Neural Networks for Chest Pathology Classification in X-Rays Using Generative Adversarial Networks
Medical datasets are often highly imbalanced, over representing common m...
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08/24/2017
Interpretation of Mammogram and Chest X-Ray Reports Using Deep Neural Networks - Preliminary Results
Radiology reports are an important means of communication between radiol...
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08/07/2017
