ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1707.02485
  4. Cited By
MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis
  Network

MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network

8 July 2017
Zizhao Zhang
Yuanpu Xie
Fuyong Xing
M. McGough
L. Yang
    MedIm
ArXivPDFHTML

Papers citing "MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network"

35 / 35 papers shown
Title
A Survey of Explainable AI and Proposal for a Discipline of Explanation
  Engineering
A Survey of Explainable AI and Proposal for a Discipline of Explanation Engineering
Clive Gomes
Lalitha Natraj
Shijun Liu
Anushka Datta
18
0
0
20 May 2023
A Review on Explainable Artificial Intelligence for Healthcare: Why,
  How, and When?
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?
M. Rubaiyat
Hossain Mondal
Prajoy Podder
26
56
0
10 Apr 2023
GNNFormer: A Graph-based Framework for Cytopathology Report Generation
GNNFormer: A Graph-based Framework for Cytopathology Report Generation
Yangqiaoyu Zhou
Kai-Lang Yao
Wusuo Li
MedIm
19
1
0
17 Mar 2023
Towards Highly Expressive Machine Learning Models of Non-Melanoma Skin
  Cancer
Towards Highly Expressive Machine Learning Models of Non-Melanoma Skin Cancer
S. Thomas
J. Lefevre
Glenn W. Baxter
N. Hamilton
MedIm
23
2
0
09 Jul 2022
SuperPoint features in endoscopy
SuperPoint features in endoscopy
O. L. Barbed
F. Chadebecq
Javier Morlana
José M.M. Montiel
Ana C. Murillo
22
8
0
08 Mar 2022
Inference of captions from histopathological patches
Inference of captions from histopathological patches
M. Tsuneki
F. Kanavati
16
31
0
07 Feb 2022
Transparency of Deep Neural Networks for Medical Image Analysis: A
  Review of Interpretability Methods
Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods
Zohaib Salahuddin
Henry C. Woodruff
A. Chatterjee
Philippe Lambin
24
303
0
01 Nov 2021
TSGB: Target-Selective Gradient Backprop for Probing CNN Visual Saliency
TSGB: Target-Selective Gradient Backprop for Probing CNN Visual Saliency
Lin Cheng
Pengfei Fang
Yanjie Liang
Liao Zhang
Chunhua Shen
Hanzi Wang
FAtt
25
11
0
11 Oct 2021
BI-RADS-Net: An Explainable Multitask Learning Approach for Cancer
  Diagnosis in Breast Ultrasound Images
BI-RADS-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images
Boyu Zhang
Aleksandar Vakanski
Min Xian
27
11
0
05 Oct 2021
Explainable artificial intelligence (XAI) in deep learning-based medical
  image analysis
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
Bas H. M. van der Velden
Hugo J. Kuijf
K. Gilhuijs
M. Viergever
XAI
35
638
0
22 Jul 2021
Multiple Instance Captioning: Learning Representations from
  Histopathology Textbooks and Articles
Multiple Instance Captioning: Learning Representations from Histopathology Textbooks and Articles
Jevgenij Gamper
Nasir M. Rajpoot
27
62
0
08 Mar 2021
Learning Efficient, Explainable and Discriminative Representations for
  Pulmonary Nodules Classification
Learning Efficient, Explainable and Discriminative Representations for Pulmonary Nodules Classification
Hanliang Jiang
Fuhao Shen
Fei Gao
Weidong Han
34
83
0
19 Jan 2021
Diagnostic Captioning: A Survey
Diagnostic Captioning: A Survey
John Pavlopoulos
Vasiliki Kougia
Ion Androutsopoulos
D. Papamichail
3DV
MedIm
91
26
0
18 Jan 2021
Improving 3D convolutional neural network comprehensibility via
  interactive visualization of relevance maps: Evaluation in Alzheimer's
  disease
Improving 3D convolutional neural network comprehensibility via interactive visualization of relevance maps: Evaluation in Alzheimer's disease
M. Dyrba
Moritz Hanzig
S. Altenstein
Sebastian Bader
Tommaso Ballarini
...
B. Ertl-Wagner
M. Wagner
J. Wiltfang
F. Jessen
S. Teipel
FAtt
MedIm
41
51
0
18 Dec 2020
Deep Learning for Medical Anomaly Detection -- A Survey
Deep Learning for Medical Anomaly Detection -- A Survey
Tharindu Fernando
Harshala Gammulle
Simon Denman
Sridha Sridharan
Clinton Fookes
OOD
20
271
0
04 Dec 2020
Cross-Modal Information Maximization for Medical Imaging: CMIM
Cross-Modal Information Maximization for Medical Imaging: CMIM
Tristan Sylvain
Francis Dutil
T. Berthier
Lisa Di-Jorio
Margaux Luck
Devon Hjelm
Yoshua Bengio
17
6
0
20 Oct 2020
A Survey on Deep Learning and Explainability for Automatic Report
  Generation from Medical Images
A Survey on Deep Learning and Explainability for Automatic Report Generation from Medical Images
Pablo Messina
Pablo Pino
Denis Parra
Alvaro Soto
Cecilia Besa
S. Uribe
Marcelo andía
C. Tejos
Claudia Prieto
Daniel Capurro
MedIm
36
62
0
20 Oct 2020
Contextual Semantic Interpretability
Contextual Semantic Interpretability
Diego Marcos
Ruth C. Fong
Sylvain Lobry
Rémi Flamary
Nicolas Courty
D. Tuia
SSL
20
27
0
18 Sep 2020
Explainable deep learning models in medical image analysis
Explainable deep learning models in medical image analysis
Amitojdeep Singh
S. Sengupta
Vasudevan Lakshminarayanan
XAI
35
482
0
28 May 2020
On Interpretability of Artificial Neural Networks: A Survey
On Interpretability of Artificial Neural Networks: A Survey
Fenglei Fan
Jinjun Xiong
Mengzhou Li
Ge Wang
AAML
AI4CE
38
300
0
08 Jan 2020
Controllable Text-to-Image Generation
Controllable Text-to-Image Generation
Bowen Li
Xiaojuan Qi
Thomas Lukasiewicz
Philip Torr
GAN
37
350
0
16 Sep 2019
Context-Aware Convolutional Neural Network for Grading of Colorectal
  Cancer Histology Images
Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images
Muhammad Shaban
Ruqayya Awan
M. Fraz
A. Azam
David R. J. Snead
Nasir M. Rajpoot
MedIm
24
139
0
22 Jul 2019
Tracking system of Mine Patrol Robot for Low Illumination Environment
Tracking system of Mine Patrol Robot for Low Illumination Environment
Shaoze You
Hua Zhu
Menggang Li
Lei Wang
Chaoquan Tang
25
1
0
03 Jul 2019
Generation of Multimodal Justification Using Visual Word Constraint
  Model for Explainable Computer-Aided Diagnosis
Generation of Multimodal Justification Using Visual Word Constraint Model for Explainable Computer-Aided Diagnosis
Hyebin Lee
S. T. Kim
Yong Man Ro
MedIm
26
44
0
10 Jun 2019
Attention-Based Deep Neural Networks for Detection of Cancerous and
  Precancerous Esophagus Tissue on Histopathological Slides
Attention-Based Deep Neural Networks for Detection of Cancerous and Precancerous Esophagus Tissue on Histopathological Slides
Naofumi Tomita
B. Abdollahi
Jason W. Wei
Bing Ren
A. Suriawinata
Saeed Hassanpour
MedIm
26
166
0
20 Nov 2018
Interpretable Spatio-temporal Attention for Video Action Recognition
Interpretable Spatio-temporal Attention for Video Action Recognition
Lili Meng
Bo Zhao
B. Chang
Gao Huang
Wei Sun
Fred Tung
Leonid Sigal
33
83
0
01 Oct 2018
DeepMiner: Discovering Interpretable Representations for Mammogram
  Classification and Explanation
DeepMiner: Discovering Interpretable Representations for Mammogram Classification and Explanation
Jimmy Wu
Bolei Zhou
D. Peck
S. Hsieh
V. Dialani
Lester W. Mackey
Genevieve Patterson
FAtt
MedIm
20
24
0
31 May 2018
Deep Texture Manifold for Ground Terrain Recognition
Deep Texture Manifold for Ground Terrain Recognition
Jia Xue
Hang Zhang
Kristin J. Dana
CVBM
37
123
0
29 Mar 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning
  Approaches
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches
Md. Zahangir Alom
T. Taha
C. Yakopcic
Stefan Westberg
P. Sidike
Mst Shamima Nasrin
B. Van Essen
A. Awwal
V. Asari
VLM
29
873
0
03 Mar 2018
Translating and Segmenting Multimodal Medical Volumes with Cycle- and
  Shape-Consistency Generative Adversarial Network
Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network
Zizhao Zhang
L. Yang
Yefeng Zheng
MedIm
50
378
0
27 Feb 2018
TieNet: Text-Image Embedding Network for Common Thorax Disease
  Classification and Reporting in Chest X-rays
TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-rays
Xiaosong Wang
Yifan Peng
Le Lu
Zhiyong Lu
Ronald M. Summers
MedIm
35
462
0
12 Jan 2018
On the Automatic Generation of Medical Imaging Reports
On the Automatic Generation of Medical Imaging Reports
Baoyu Jing
P. Xie
Eric P. Xing
MedIm
35
503
0
22 Nov 2017
Thoracic Disease Identification and Localization with Limited
  Supervision
Thoracic Disease Identification and Localization with Limited Supervision
Zhe Li
Chong Wang
Mei Han
Yuan Xue
Wei Wei
Li-Jia Li
F. Li
27
329
0
17 Nov 2017
Sparse Autoencoder for Unsupervised Nucleus Detection and Representation
  in Histopathology Images
Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images
L. Hou
Vu Nguyen
Dimitris Samaras
Tahsin M. Kurc
Yi Gao
Tianhao Zhao
Joel H. Saltz
MedIm
29
143
0
03 Apr 2017
Learning Deep Representations of Fine-grained Visual Descriptions
Learning Deep Representations of Fine-grained Visual Descriptions
Scott E. Reed
Zeynep Akata
Bernt Schiele
Honglak Lee
OCL
VLM
170
840
0
17 May 2016
1