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RADNET: Radiologist Level Accuracy using Deep Learning for HEMORRHAGE
  detection in CT Scans

RADNET: Radiologist Level Accuracy using Deep Learning for HEMORRHAGE detection in CT Scans

13 October 2017
Monika Grewal
Muktabh Mayank Srivastava
Pulkit Kumar
Srikrishna Varadarajan
    MedIm
ArXivPDFHTML

Papers citing "RADNET: Radiologist Level Accuracy using Deep Learning for HEMORRHAGE detection in CT Scans"

11 / 11 papers shown
Title
A Closer Look at Spatial-Slice Features Learning for COVID-19 Detection
A Closer Look at Spatial-Slice Features Learning for COVID-19 Detection
Chih-Chung Hsu
Chia-Ming Lee
Chiang Fan Yang
Yi-Shiuan Chou
Chih-Yu Jiang
Shen-Chieh Tai
Chin-Han Tsai
44
0
0
02 Apr 2024
Smooth Attention for Deep Multiple Instance Learning: Application to CT
  Intracranial Hemorrhage Detection
Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection
Yunan Wu
Francisco M. Castro-Macías
Pablo Morales-Álvarez
Rafael Molina
Aggelos K. Katsaggelos
40
2
0
18 Jul 2023
Graph Convolutional Networks for Multi-modality Medical Imaging:
  Methods, Architectures, and Clinical Applications
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications
Kexin Ding
Mu Zhou
Zichen Wang
Qiao Liu
C. Arnold
Shaoting Zhang
Dimitris N. Metaxas
GNN
MedIm
AI4CE
38
12
0
17 Feb 2022
Studying the Effects of Self-Attention for Medical Image Analysis
Studying the Effects of Self-Attention for Medical Image Analysis
Adrit Rao
Jongchan Park
Sanghyun Woo
Joon-Young Lee
Oliver Aalami
22
27
0
02 Sep 2021
ViPTT-Net: Video pretraining of spatio-temporal model for tuberculosis
  type classification from chest CT scans
ViPTT-Net: Video pretraining of spatio-temporal model for tuberculosis type classification from chest CT scans
H. Zunair
Aimon Rahman
Nabeel Mohammed
33
6
0
26 May 2021
Accurate and Efficient Intracranial Hemorrhage Detection and Subtype
  Classification in 3D CT Scans with Convolutional and Long Short-Term Memory
  Neural Networks
Accurate and Efficient Intracranial Hemorrhage Detection and Subtype Classification in 3D CT Scans with Convolutional and Long Short-Term Memory Neural Networks
Mihail Burduja
Radu Tudor Ionescu
N. Verga
30
89
0
01 Aug 2020
Uniformizing Techniques to Process CT scans with 3D CNNs for
  Tuberculosis Prediction
Uniformizing Techniques to Process CT scans with 3D CNNs for Tuberculosis Prediction
H. Zunair
Aimon Rahman
Nabeel Mohammed
Joseph Paul Cohen
45
80
0
26 Jul 2020
Intracranial Hemorrhage Segmentation Using Deep Convolutional Model
Intracranial Hemorrhage Segmentation Using Deep Convolutional Model
Murtadha D. Hssayeni
M. S.
M. Croock
Ph. D.
A. Al-Ani
...
M. D.
Zakaria A. Yahya
M. D.
Behnaz Ghoraani
Ph. D
OOD
19
161
0
18 Oct 2019
Securing Connected & Autonomous Vehicles: Challenges Posed by
  Adversarial Machine Learning and The Way Forward
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward
A. Qayyum
Muhammad Usama
Junaid Qadir
Ala I. Al-Fuqaha
AAML
27
187
0
29 May 2019
Medical Time Series Classification with Hierarchical Attention-based
  Temporal Convolutional Networks: A Case Study of Myotonic Dystrophy Diagnosis
Medical Time Series Classification with Hierarchical Attention-based Temporal Convolutional Networks: A Case Study of Myotonic Dystrophy Diagnosis
Lei Lin
Beilei Xu
Wencheng Wu
Trevor W. Richardson
Edgar A. Bernal
23
28
0
28 Mar 2019
Development and Validation of Deep Learning Algorithms for Detection of
  Critical Findings in Head CT Scans
Development and Validation of Deep Learning Algorithms for Detection of Critical Findings in Head CT Scans
Sasank Chilamkurthy
Rohit Ghosh
Swetha Tanamala
Mustafa Biviji
N. Campeau
V. Venugopal
V. Mahajan
Pooja Rao
Prashant Warier
13
104
0
13 Mar 2018
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