Provider > Medical Imaging

• 

  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 ...

• 

  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 ...

• 

  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 ...

• 

  Co occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation

  • Published on: March, 2019
  • Max Strobel
  • Code Available

  Skeleton-based human action recognition has recently drawn increasing attentions with the availability of large-scale skeleton datasets. The most cruc ...

• 

  Heart Segmentation From MRI Scans Using Convolutional Neural Network

  • Published on: November, 2019
  • Muhammad Usman, Shakeel Muhammad Ibrahim,  Imran Naseem, Muhammad Sohail Ibrahim, Muhammad Moinuddin
  • Code Available

  Heart is essential organ of human body. For patients having cardiovascular diseases(CVD), it is important to monitor physiology of heart effectively. ...

• 

  Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning

  • Published on: May, 2020
  • Paul Morrison, Mahsa Hoshmand-Kochi, Beiyi Shen, Joseph Paul Cohen, Marzyeh Ghassemi, Karsten Roth, Lan Dao, H...
  • Code Available

  Model predicts severity score for COVID-19 pneumonia for frontal chest X-ray images. The ability to gauge severity of COVID-19 lung infections can be ...

• 

  Image Analytics for Lung Cancer Risk Quantification

  • Published on: September, 2018
  • CitiusTech

  This is a deep learning based model that can quantify patient’s risk of suffering from lung cancer and has ability to improve accuracy of cancer detec ...

• 

  Segmentation of Pulmonary Opacification in Chest CT Scans of COVID-19 Patients

  • Published on: July, 2020
  • William Parker, Paolo Emilio Barbano, Keegan Lensink, Marco Law, Issam Laradji, Savvas Nicolaou, Eldad Haber
  • Code Available

  A form of pneumonia, presenting as opacities with in a patient’s lungs, is the most common presentation associated with the COVID-19 virus, and great ...

• 

  Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification

  • Published on: August, 2018
  • Zhangyang Wang, Dong Liu, Qing Ling, Xiaofeng Zhang
  • Code Available

  Deep learning has revolutionized the performance of classification, but in many settings where either massively annotating labels is a labor-intensive ...

• 

  Lung cancer risk prediction from CT using fine-tuned I3D neural network

  • Published on: July, 2020
  • Daniel Korat
  • Code Available

  With an estimated 160,000 deaths in 2018, lung cancer is the most common cause of cancer death in the United States.Lung cancer screening using low-do ...