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  Patient Subtyping via Time-Aware LSTM Networks

  • Published on: August, 2017
  • Xi Zhang, Anil K. Jain, Fei Wang, Jiayu Zhou, Cao Xiao, Inci M. Baytas
  • Code Available

  Grouping of patients based on similar disease progression pathways, also known as Patient Subtyping is extremely important to account heterogeneity in ...

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  Automatic Body Part Identification in Whole-Body MRI

  • Published on: October, 2020
  • a-doering
  • Code Available

  The study of medical imaging data from large cohort studies, such as Magnetic Resonance Imaging (MRI), takes a long time. As a result, model for autom ...

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  Deep CT to MR Synthesis Using Paired and Unpaired Data

  • Published on: May, 2019
  • Wonmo Jung, In Ho Han, Hakil Kim, Xuenan Cui, Cheng-Bin Jin, Jae Il Lee, Seongsu Joo, Mingjie Liu, Eunsik Park...
  • Code Available

  Magnetic resonance (MR) imaging plays a highly important role in radiotherapy treatment planning for the segmentation of tumor volumes and organs. How ...

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  AutoDiscern-Rating the Quality of Online Health Information with Hierarchical Encoder Attention-Based Neural Networks

  • Published on: May, 2020
  • Michael Krauthammer, Ahmed Allam, Laura Kinkead
  • Code Available

  A huge amount of medical information is available online and people refer to it before consulting a health professional. The information may not be r ...

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  CT Based COVID-19 triage Deep multitask learning improves joint identification and severity quantification

  • Published on: March, 2021
  • MikhailGoncharov, MaximPisov
  • Code Available

  Though several deep learning approaches were developed to assist in CT analysis, nobody considered study triage directly as a computer science problem ...

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  Query-Focused EHR Summarization to Aid Imaging Diagnosis

  • Published on: September, 2020
  • Byron C. Wallace, Geoffrey Young, Anne-Sophie Touret, Borna Dabiri, Jan-Willem van de Meent, Denis Jered McIne...
  • Code Available

  This model is an example of Natural language Processing Technique implemented on Health Records to help Radiologists in diagnosis. A Radiologist has f ...

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  Sentence Entity Resolver for RxNorm

  • Published on: May, 2021
  • John Snow Labs
  • Code Available

  This model maps extracted medical entities to RxNorm codes using chunk embeddings, and has faster load time, with a speedup of about 6X when compared ...

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  MRI Brain Tumor Segmentation and Uncertainty Estimation using 3D-UNet Architectures

  • Published on: September, 2020
  • Veronica Vilaplana, Laura Mora Ballestar
  • Code Available

  Convolutional neural networks have shown significant results in brain tumor segmentation. Automation of brain tumor segmentation can be very useful fo ...

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  Hierarchical 3D fully convolutional networks for multi-organ segmentation

  • Published on: April, 2017
  • Michitaka Fujiwara, Holger R. Roth, Hirohisa Oda1, and Kensaku Mori, Masahiro Oda, Natsuki Shimizu, Kazunari M...
  • Code Available

  The model demonstrates how hierarchical deployment of 3D CNN based on a fully convolutional architecture (3D U-Net) can produce competitive results fo ...

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  Predicting the deterioration of COVID-19 patients in the emergency department

  • Published on: November, 2020
  • Yvonne W. Lui, David Kudlowitz, Taro Makino, Ben Zhang, Lea Azour, Carlos Fernandez-Granda, Siddhant Dogra, Yi...
  • Code Available

  During the coronavirus disease 2019 (COVID-19) pandemic, rapid and accurate triage of patients at the emergency department is critical to inform decis ...