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Diagnose Like a Radiologist: Hybrid Neuro-Probabilistic Reasoning for
  Attribute-Based Medical Image Diagnosis

Diagnose Like a Radiologist: Hybrid Neuro-Probabilistic Reasoning for Attribute-Based Medical Image Diagnosis

19 August 2022
Gangming Zhao
Quanlong Feng
Chaoqi Chen
Zhen Zhou
Yizhou Yu
ArXiv (abs)PDFHTML

Papers citing "Diagnose Like a Radiologist: Hybrid Neuro-Probabilistic Reasoning for Attribute-Based Medical Image Diagnosis"

29 / 29 papers shown
Title
Generalizing Medical Image Representations via Quaternion Wavelet Networks
Generalizing Medical Image Representations via Quaternion Wavelet Networks
Luigi Sigillo
Eleonora Grassucci
A. Uncini
Danilo Comminiello
MedIm
105
5
0
16 Oct 2023
Closed Loop Neural-Symbolic Learning via Integrating Neural Perception,
  Grammar Parsing, and Symbolic Reasoning
Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning
Qing Li
Siyuan Huang
Yining Hong
Yixin Chen
Ying Nian Wu
Song-Chun Zhu
NAI
74
83
0
11 Jun 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
520
42,449
0
03 Dec 2019
Learning Bayesian Networks with Low Rank Conditional Probability Tables
Learning Bayesian Networks with Low Rank Conditional Probability Tables
Adarsh Barik
Jean Honorio
92
6
0
29 May 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DVMedIm
142
18,134
0
28 May 2019
DeepGCNs: Can GCNs Go as Deep as CNNs?
DeepGCNs: Can GCNs Go as Deep as CNNs?
Ge Li
Matthias Muller
Ali K. Thabet
Guohao Li
3DPCGNN
130
1,349
0
07 Apr 2019
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language
  Understanding
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding
Kexin Yi
Jiajun Wu
Chuang Gan
Antonio Torralba
Pushmeet Kohli
J. Tenenbaum
NAI
84
609
0
04 Oct 2018
Constructing Deep Neural Networks by Bayesian Network Structure Learning
Constructing Deep Neural Networks by Bayesian Network Structure Learning
R. Y. Rohekar
Shami Nisimov
Yaniv Gurwicz
G. Koren
Gal Novik
BDL
116
26
0
24 Jun 2018
StructVAE: Tree-structured Latent Variable Models for Semi-supervised
  Semantic Parsing
StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing
Pengcheng Yin
Chunting Zhou
Junxian He
Graham Neubig
GNN
72
102
0
20 Jun 2018
Joint Learning for Pulmonary Nodule Segmentation, Attributes and
  Malignancy Prediction
Joint Learning for Pulmonary Nodule Segmentation, Attributes and Malignancy Prediction
Botong Wu
Zhen Zhou
Jianwei Wang
Yizhou Wang
48
120
0
10 Feb 2018
Diagnose like a Radiologist: Attention Guided Convolutional Neural
  Network for Thorax Disease Classification
Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification
Q. Guan
Yaping Huang
Zhun Zhong
Zhedong Zheng
Liang Zheng
Yi Yang
58
260
0
30 Jan 2018
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
424
26,500
0
05 Sep 2017
A simple neural network module for relational reasoning
A simple neural network module for relational reasoning
Adam Santoro
David Raposo
David Barrett
Mateusz Malinowski
Razvan Pascanu
Peter W. Battaglia
Timothy Lillicrap
GNNNAI
187
1,614
0
05 Jun 2017
Risk Stratification of Lung Nodules Using 3D CNN-Based Multi-task
  Learning
Risk Stratification of Lung Nodules Using 3D CNN-Based Multi-task Learning
Sarfaraz Hussein
K. Cao
Qi Song
Ulas Bagci
47
158
0
28 Apr 2017
TumorNet: Lung Nodule Characterization Using Multi-View Convolutional
  Neural Network with Gaussian Process
TumorNet: Lung Nodule Characterization Using Multi-View Convolutional Neural Network with Gaussian Process
Sarfaraz Hussein
R. Gillies
K. Cao
Qi Song
Ulas Bagci
44
102
0
02 Mar 2017
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
477
22,108
0
09 Dec 2016
Characterization of Lung Nodule Malignancy using Hybrid Shape and
  Appearance Features
Characterization of Lung Nodule Malignancy using Hybrid Shape and Appearance Features
Mario Buty
Ziyue Xu
Mingchen Gao
Ulas Bagci
Aaron Wu
D. Mollura
42
52
0
21 Sep 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
644
29,076
0
09 Sep 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
741
37,862
0
20 May 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
354
10,184
0
16 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
Variational Dropout and the Local Reparameterization Trick
Variational Dropout and the Local Reparameterization Trick
Diederik P. Kingma
Tim Salimans
Max Welling
BDL
226
1,514
0
08 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCVBDL
829
9,318
0
06 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMatObjD
520
62,294
0
04 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,115
0
22 Dec 2014
Deep Learning Face Attributes in the Wild
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
244
8,408
0
28 Nov 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLMObjD
1.7K
39,547
0
01 Sep 2014
Stochastic Gradient Hamiltonian Monte Carlo
Stochastic Gradient Hamiltonian Monte Carlo
Tianqi Chen
E. Fox
Carlos Guestrin
BDL
109
910
0
17 Feb 2014
Bayesian structure learning using dynamic programming and MCMC
Bayesian structure learning using dynamic programming and MCMC
Daniel Eaton
Kevin P. Murphy
82
136
0
20 Jun 2012
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