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. 1801.05173
  4. Cited By
Fully Convolutional Multi-scale Residual DenseNets for Cardiac
  Segmentation and Automated Cardiac Diagnosis using Ensemble of Classifiers

Fully Convolutional Multi-scale Residual DenseNets for Cardiac Segmentation and Automated Cardiac Diagnosis using Ensemble of Classifiers

16 January 2018
Mahendra Khened
Alex Varghese
Ganapathy Krishnamurthi
ArXiv (abs)PDFHTML

Papers citing "Fully Convolutional Multi-scale Residual DenseNets for Cardiac Segmentation and Automated Cardiac Diagnosis using Ensemble of Classifiers"

26 / 26 papers shown
Title
Merging Context Clustering with Visual State Space Models for Medical Image Segmentation
Merging Context Clustering with Visual State Space Models for Medical Image Segmentation
Yun Zhu
Dong Zhang
Yi Lin
Yifei Feng
Jinhui Tang
Mamba
99
2
0
03 Jan 2025
A Multi-Scale Spatial Transformer U-Net for Simultaneously Automatic
  Reorientation and Segmentation of 3D Nuclear Cardiac Images
A Multi-Scale Spatial Transformer U-Net for Simultaneously Automatic Reorientation and Segmentation of 3D Nuclear Cardiac Images
Yangfan Ni
Duo Zhang
Gege Ma
Lijun Lu
Zhongke Huang
Wentao Zhu
MedIm
36
2
0
16 Oct 2023
DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical
  Coherence Tomography Angiography Images
DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical Coherence Tomography Angiography Images
Bo Qian
Haoxing Chen
Xiangning Wang
Haoxuan Che
Gitaek Kwon
...
Xiaokang Yang
Yiyu Cai
Weiping Jia
Huating Li
Bin Sheng
80
5
0
05 Apr 2023
Scoliosis Detection using Deep Neural Network
Scoliosis Detection using Deep Neural Network
Y. Nguyen
76
1
0
31 Oct 2022
A new method incorporating deep learning with shape priors for left
  ventricular segmentation in myocardial perfusion SPECT images
A new method incorporating deep learning with shape priors for left ventricular segmentation in myocardial perfusion SPECT images
Fubao Zhu
Jinyu Zhao
Chen Zhao
S. Tang
Ji Nan
...
Zhongqiang Zhao
Jianzhou Shi
Zenghong Chen
Zhixin Jiang
Weihua Zhou
88
20
0
07 Jun 2022
Shape constrained CNN for segmentation guided prediction of myocardial
  shape and pose parameters in cardiac MRI
Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI
Sofie Tilborghs
J. Bogaert
F. Maes
67
6
0
02 Mar 2022
Recent Advances in Fibrosis and Scar Segmentation from Cardiac MRI: A
  State-of-the-Art Review and Future Perspectives
Recent Advances in Fibrosis and Scar Segmentation from Cardiac MRI: A State-of-the-Art Review and Future Perspectives
Yinzhe Wu
Zeyu Tang
Binghuan Li
D. Firmin
Guang Yang
70
41
0
28 Jun 2021
Bootstrap Representation Learning for Segmentation on Medical Volumes
  and Sequences
Bootstrap Representation Learning for Segmentation on Medical Volumes and Sequences
Zejian Chen
Wei Zhuo
Tianfu Wang
Wufeng Xue
Dong Ni
107
6
0
23 Jun 2021
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation
Yundong Zhang
Huiye Liu
Qiang Hu
ViTMedIm
273
936
0
16 Feb 2021
Annotation-efficient deep learning for automatic medical image
  segmentation
Annotation-efficient deep learning for automatic medical image segmentation
Shanshan Wang
Cheng Li
Rongpin Wang
Zaiyi Liu
Meiyun Wang
...
Xin Liu
Jie Chen
Hui-Chong Zhou
Ismail Ben Ayed
Hairong Zheng
VLMMedIm
105
187
0
09 Dec 2020
Learning Directional Feature Maps for Cardiac MRI Segmentation
Learning Directional Feature Maps for Cardiac MRI Segmentation
Feng Cheng
Cheng Chen
Yukang Wang
Heshui Shi
Yukun Cao
Dandan Tu
Changzheng Zhang
Yongchao Xu
64
51
0
22 Jul 2020
Deep Cerebellar Nuclei Segmentation via Semi-Supervised Deep
  Context-Aware Learning from 7T Diffusion MRI
Deep Cerebellar Nuclei Segmentation via Semi-Supervised Deep Context-Aware Learning from 7T Diffusion MRI
Jinyoung Kim
R. Patriat
J. Kaplan
Oren Solomon
N. Harel
37
17
0
21 Apr 2020
CondenseUNet: A Memory-Efficient Condensely-Connected Architecture for
  Bi-ventricular Blood Pool and Myocardium Segmentation
CondenseUNet: A Memory-Efficient Condensely-Connected Architecture for Bi-ventricular Blood Pool and Myocardium Segmentation
S. Hasan
Cristian A. Linte
24
16
0
05 Apr 2020
A Generalized Deep Learning Framework for Whole-Slide Image Segmentation
  and Analysis
A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis
Mahendra Khened
Avinash Kori
Haran Rajkumar
Balaji Srinivasan
Ganapathy Krishnamurthi
MedImLM&MA
295
173
0
01 Jan 2020
Deep learning for cardiac image segmentation: A review
Deep learning for cardiac image segmentation: A review
Chen Chen
C. Qin
Huaqi Qiu
G. Tarroni
Jinming Duan
Wenjia Bai
Daniel Rueckert
SSeg3DV
141
689
0
09 Nov 2019
Recon-GLGAN: A Global-Local context based Generative Adversarial Network
  for MRI Reconstruction
Recon-GLGAN: A Global-Local context based Generative Adversarial Network for MRI Reconstruction
Balamurali Murugesan
S. VijayaRaghavan
Kaushik Sarveswaran
Keerthi Ram
M. Sivaprakasam
GANMedIm
61
23
0
25 Aug 2019
An amplified-target loss approach for photoreceptor layer segmentation
  in pathological OCT scans
An amplified-target loss approach for photoreceptor layer segmentation in pathological OCT scans
J. Orlando
Anna Breger
Hrvoje Bogunović
Sophie Riedl
Bianca S. Gerendas
Martin Ehler
U. Schmidt-Erfurth
MedIm
20
4
0
02 Aug 2019
Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view
  Images
Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images
Chen Chen
C. Biffi
G. Tarroni
S. Petersen
Wenjia Bai
Daniel Rueckert
105
53
0
23 Jul 2019
Improving the generalizability of convolutional neural network-based
  segmentation on CMR images
Improving the generalizability of convolutional neural network-based segmentation on CMR images
Chen Chen
Wenjia Bai
R. Davies
A. Bhuva
C. Manisty
...
S. Petersen
E. Lukaschuk
Stefan K. Piechnik
S. Neubauer
Daniel Rueckert
81
120
0
02 Jul 2019
Multi-vision Attention Networks for On-line Red Jujube Grading
Multi-vision Attention Networks for On-line Red Jujube Grading
Xiaoye Sun
Liyan Ma
Gongyang Li
18
9
0
31 Mar 2019
Segmentation of Roots in Soil with U-Net
Segmentation of Roots in Soil with U-Net
Abraham George Smith
Jens Petersen
Raghavendra Selvan
C. Rasmussen
70
125
0
28 Feb 2019
Explainable cardiac pathology classification on cine MRI with motion
  characterization by semi-supervised learning of apparent flow
Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow
Ben Green
H. Delingette
N. Ayache
70
83
0
08 Nov 2018
Multi-Scale Fully Convolutional Network for Cardiac Left Ventricle
  Segmentation
Multi-Scale Fully Convolutional Network for Cardiac Left Ventricle Segmentation
Han Kang
Defeng Chen
25
2
0
19 Sep 2018
Automatic 3D bi-ventricular segmentation of cardiac images by a
  shape-refined multi-task deep learning approach
Automatic 3D bi-ventricular segmentation of cardiac images by a shape-refined multi-task deep learning approach
Jinming Duan
Ghalib A. Bello
Jo Schlemper
Wenjia Bai
T. Dawes
C. Biffi
A. de Marvao
Georgia Doumou
D. O’Regan
Daniel Rueckert
MedIm
56
5
0
26 Aug 2018
Attention Gated Networks: Learning to Leverage Salient Regions in
  Medical Images
Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images
Jo Schlemper
Ozan Oktay
M. Schaap
M. Heinrich
Bernhard Kainz
Ben Glocker
Daniel Rueckert
MedIm
117
1,487
0
22 Aug 2018
Attention U-Net: Learning Where to Look for the Pancreas
Attention U-Net: Learning Where to Look for the Pancreas
Ozan Oktay
Jo Schlemper
Loic Le Folgoc
M. J. Lee
M. Heinrich
...
Jingyu Sun
Nils Y. Hammerla
Bernhard Kainz
Ben Glocker
Daniel Rueckert
SSeg
178
5,116
0
11 Apr 2018
1