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. 1904.10030
  4. Cited By
Reducing the Hausdorff Distance in Medical Image Segmentation with
  Convolutional Neural Networks

Reducing the Hausdorff Distance in Medical Image Segmentation with Convolutional Neural Networks

22 April 2019
Davood Karimi
Septimiu E. Salcudean
    MedIm
ArXivPDFHTML

Papers citing "Reducing the Hausdorff Distance in Medical Image Segmentation with Convolutional Neural Networks"

49 / 99 papers shown
Title
Effect of Prior-based Losses on Segmentation Performance: A Benchmark
Effect of Prior-based Losses on Segmentation Performance: A Benchmark
Rosana El Jurdi
Caroline Petitjean
V. Cheplygina
P. Honeine
F. Abdallah
SSeg
12
0
0
07 Jan 2022
Recurrent Feature Propagation and Edge Skip-Connections for Automatic
  Abdominal Organ Segmentation
Recurrent Feature Propagation and Edge Skip-Connections for Automatic Abdominal Organ Segmentation
Zefan Yang
Di Lin
Dong Ni
Yi Wang
MedIm
23
6
0
02 Jan 2022
Distribution-aware Margin Calibration for Semantic Segmentation in
  Images
Distribution-aware Margin Calibration for Semantic Segmentation in Images
Litao Yu
Zhibin Li
Min Xu
Yongsheng Gao
Jiebo Luo
Jian Andrew Zhang
8
15
0
21 Dec 2021
Structure-Aware Image Segmentation with Homotopy Warping
Structure-Aware Image Segmentation with Homotopy Warping
Xiaoling Hu
18
27
0
15 Dec 2021
Uncertainty, Edge, and Reverse-Attention Guided Generative Adversarial
  Network for Automatic Building Detection in Remotely Sensed Images
Uncertainty, Edge, and Reverse-Attention Guided Generative Adversarial Network for Automatic Building Detection in Remotely Sensed Images
Somrita Chattopadhyay
A. Kak
18
4
0
10 Dec 2021
Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical
  Image Segmentation
Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation
Yinghuan Shi
Jian Zhang
T. Ling
Jiwen Lu
Yefeng Zheng
Qian Yu
Lei Qi
Yang Gao
UQCV
15
142
0
17 Oct 2021
Combining CNNs With Transformer for Multimodal 3D MRI Brain Tumor
  Segmentation With Self-Supervised Pretraining
Combining CNNs With Transformer for Multimodal 3D MRI Brain Tumor Segmentation With Self-Supervised Pretraining
Mariia Dobko
Danylo-Ivan Kolinko
Ostap Viniavskyi
Yurii Yelisieiev
ViT
MedIm
13
8
0
15 Oct 2021
FDA: Feature Decomposition and Aggregation for Robust Airway
  Segmentation
FDA: Feature Decomposition and Aggregation for Robust Airway Segmentation
Minghui Zhang
Xin Yu
Hanxiao Zhang
Hao Zheng
Weihao Yu
Hong Pan
Xiang-Ran Cai
Yun Gu
3DPC
11
21
0
07 Sep 2021
A Dense Siamese U-Net trained with Edge Enhanced 3D IOU Loss for Image
  Co-segmentation
A Dense Siamese U-Net trained with Edge Enhanced 3D IOU Loss for Image Co-segmentation
Xi Liu
Xiabi Liu
Huiyu Li
Xiaopeng Gong
6
0
0
17 Aug 2021
Region-wise Loss for Biomedical Image Segmentation
Region-wise Loss for Biomedical Image Segmentation
Juan Miguel Valverde
Jussi Tohka
11
5
0
03 Aug 2021
A Proof-of-Concept Study of Artificial Intelligence Assisted Contour
  Revision
A Proof-of-Concept Study of Artificial Intelligence Assisted Contour Revision
T. Bai
Anjali Balagopal
M. Dohopolski
H. Morgan
R. Mcbeth
Jun Tan
Mu-Han Lin
David Sher
D. Nguyen
Steve B. Jiang
11
1
0
28 Jul 2021
Sharp U-Net: Depthwise Convolutional Network for Biomedical Image
  Segmentation
Sharp U-Net: Depthwise Convolutional Network for Biomedical Image Segmentation
H. Zunair
A. Ben Hamza
SSeg
MDE
6
222
0
26 Jul 2021
Residual Moment Loss for Medical Image Segmentation
Residual Moment Loss for Medical Image Segmentation
Quanziang Wang
Renzhen Wang
Yuexiang Li
Kai Ma
Yefeng Zheng
Deyu Meng
MedIm
9
0
0
27 Jun 2021
AOSLO-net: A deep learning-based method for automatic segmentation of
  retinal microaneurysms from adaptive optics scanning laser ophthalmoscope
  images
AOSLO-net: A deep learning-based method for automatic segmentation of retinal microaneurysms from adaptive optics scanning laser ophthalmoscope images
Qian Zhang
Konstantina Sampani
Mengjia Xu
Shengze Cai
Yixiang Deng
He Li
Jennifer K. Sun
George Karniadakis
27
23
0
05 Jun 2021
SemSegLoss: A python package of loss functions for semantic segmentation
SemSegLoss: A python package of loss functions for semantic segmentation
Shruti Jadon
SSeg
VLM
6
9
0
18 May 2021
Voxel-level Siamese Representation Learning for Abdominal Multi-Organ
  Segmentation
Voxel-level Siamese Representation Learning for Abdominal Multi-Organ Segmentation
Chae-Eun Lee
Minyoung Chung
Y. Shin
DRL
39
9
0
17 May 2021
PocketNet: A Smaller Neural Network for Medical Image Analysis
PocketNet: A Smaller Neural Network for Medical Image Analysis
A. Celaya
Jonas A. Actor
Rajarajesawari Muthusivarajan
Evan Gates
C. Chung
Dawid Schellingerhout
B. Rivière
David T. Fuentes
SSeg
MedIm
6
26
0
21 Apr 2021
Brain Surface Reconstruction from MRI Images Based on Segmentation
  Networks Applying Signed Distance Maps
Brain Surface Reconstruction from MRI Images Based on Segmentation Networks Applying Signed Distance Maps
Heng Fang
Xi Yang
Taichi Kin
Takeo Igarashi
3DV
11
1
0
09 Apr 2021
Tilted Cross Entropy (TCE): Promoting Fairness in Semantic Segmentation
Tilted Cross Entropy (TCE): Promoting Fairness in Semantic Segmentation
Attila Szabo
Hadi Jamali Rad
Siva-Datta Mannava
18
14
0
25 Mar 2021
Rapid treatment planning for low-dose-rate prostate brachytherapy with
  TP-GAN
Rapid treatment planning for low-dose-rate prostate brachytherapy with TP-GAN
Tajwar Abrar Aleef
I. Spadinger
Michael Peacock
Septimiu E. Salcudean
S. S. Mahdavi
14
6
0
18 Mar 2021
Topology-Aware Segmentation Using Discrete Morse Theory
Topology-Aware Segmentation Using Discrete Morse Theory
Xiaoling Hu
Yusu Wang
Fuxin Li
Dimitris Samaras
Chao Chen
19
88
0
18 Mar 2021
Are we using appropriate segmentation metrics? Identifying correlates of
  human expert perception for CNN training beyond rolling the DICE coefficient
Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient
Florian Kofler
Ivan Ezhov
Fabian Isensee
F. Balsiger
Christoph Berger
...
C. Zimmer
D. Ankerst
Jan Kirschke
Benedikt Wiestler
Bjoern H. Menze
21
51
0
10 Mar 2021
Binary segmentation of medical images using implicit spline
  representations and deep learning
Binary segmentation of medical images using implicit spline representations and deep learning
O. Barrowclough
G. Muntingh
Varatharajan Nainamalai
Ivar Stangeby
16
20
0
25 Feb 2021
Automatic Segmentation of Organs-at-Risk from Head-and-Neck CT using
  Separable Convolutional Neural Network with Hard-Region-Weighted Loss
Automatic Segmentation of Organs-at-Risk from Head-and-Neck CT using Separable Convolutional Neural Network with Hard-Region-Weighted Loss
Wenhui Lei
Haochen Mei
Zhengwentai Sun
Shan Ye
Ran Gu
Huan Wang
Rui Huang
Shichuan Zhang
Shaoting Zhang
Guotai Wang
8
31
0
03 Feb 2021
Automatic Liver Segmentation from CT Images Using Deep Learning
  Algorithms: A Comparative Study
Automatic Liver Segmentation from CT Images Using Deep Learning Algorithms: A Comparative Study
K. E. Sengun
Y. Cetin
M. Güzel
Serhat Can
E. Bostanci
8
6
0
25 Jan 2021
A survey on shape-constraint deep learning for medical image
  segmentation
A survey on shape-constraint deep learning for medical image segmentation
Simon Bohlender
Ilkay Oksuz
Anirban Mukhopadhyay
3DV
14
33
0
19 Jan 2021
Bladder segmentation based on deep learning approaches: current
  limitations and lessons
Bladder segmentation based on deep learning approaches: current limitations and lessons
M. Bandyk
D. Gopireddy
C. Lall
K. Balaji
Jose Dolz
14
0
0
16 Jan 2021
CleftNet: Augmented Deep Learning for Synaptic Cleft Detection from
  Brain Electron Microscopy
CleftNet: Augmented Deep Learning for Synaptic Cleft Detection from Brain Electron Microscopy
Yi Liu
Shuiwang Ji
12
13
0
12 Jan 2021
Diminishing Uncertainty within the Training Pool: Active Learning for
  Medical Image Segmentation
Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation
V. Nath
Dong Yang
Bennett A. Landman
Daguang Xu
H. Roth
25
67
0
07 Jan 2021
Inter-slice Context Residual Learning for 3D Medical Image Segmentation
Inter-slice Context Residual Learning for 3D Medical Image Segmentation
Jianpeng Zhang
Yutong Xie
Yan Wang
Yong-quan Xia
SSeg
MedIm
16
87
0
28 Nov 2020
Do Noises Bother Human and Neural Networks In the Same Way? A Medical
  Image Analysis Perspective
Do Noises Bother Human and Neural Networks In the Same Way? A Medical Image Analysis Perspective
Shao-Cheng Wen
Yu-Jen Chen
Zihao Liu
Wujie Wen
Xiaowei Xu
Yiyu Shi
Tsung-Yi Ho
Qianjun Jia
Meiping Huang
Zhuang Jian
MedIm
22
5
0
04 Nov 2020
Distribution-aware Margin Calibration for Medical Image Segmentation
Distribution-aware Margin Calibration for Medical Image Segmentation
Zhibin Li
Litao Yu
Jian Andrew Zhang
4
0
0
03 Nov 2020
Learning Euler's Elastica Model for Medical Image Segmentation
Learning Euler's Elastica Model for Medical Image Segmentation
Xu Chen
Xiangde Luo
Yitian Zhao
Shaoting Zhang
Guotai Wang
Yalin Zheng
MedIm
9
17
0
01 Nov 2020
Shape Constrained CNN for Cardiac MR Segmentation with Simultaneous
  Prediction of Shape and Pose Parameters
Shape Constrained CNN for Cardiac MR Segmentation with Simultaneous Prediction of Shape and Pose Parameters
Sofie Tilborghs
T. Dresselaers
P. Claus
J. Bogaert
F. Maes
8
10
0
18 Oct 2020
Geometric Loss for Deep Multiple Sclerosis lesion Segmentation
Geometric Loss for Deep Multiple Sclerosis lesion Segmentation
Hang Zhang
Jinwei Zhang
Rongguang Wang
Qihao Zhang
S. Gauthier
P. Spincemaille
Thanh D. Nguyen
Yi Wang
6
22
0
29 Sep 2020
Medical Image Segmentation Using Deep Learning: A Survey
Medical Image Segmentation Using Deep Learning: A Survey
Risheng Wang
Tao Lei
Xiaogang Du
Yong Wan
Hongying Meng
A. Nandi
SSeg
OOD
25
541
0
28 Sep 2020
Multi-structure bone segmentation in pediatric MR images with combined
  regularization from shape priors and adversarial network
Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network
Arnaud Boutillon
Bhushan S Borotikar
Valérie Burdin
Pierre-Henri Conze
MedIm
15
18
0
15 Sep 2020
Deep Structure Learning using Feature Extraction in Trained Projection
  Space
Deep Structure Learning using Feature Extraction in Trained Projection Space
Christoph Angermann
Markus Haltmeier
3DV
3DPC
11
6
0
01 Sep 2020
AtrialJSQnet: A New Framework for Joint Segmentation and Quantification
  of Left Atrium and Scars Incorporating Spatial and Shape Information
AtrialJSQnet: A New Framework for Joint Segmentation and Quantification of Left Atrium and Scars Incorporating Spatial and Shape Information
Lei Li
V. Zimmer
J. Schnabel
Xiahai Zhuang
17
41
0
11 Aug 2020
A survey of loss functions for semantic segmentation
A survey of loss functions for semantic segmentation
Shruti Jadon
SSeg
14
821
0
26 Jun 2020
Enhancing Foreground Boundaries for Medical Image Segmentation
Enhancing Foreground Boundaries for Medical Image Segmentation
Dong Yang
H. Roth
Xiaosong Wang
Ziyue Xu
Andriy Myronenko
Daguang Xu
22
7
0
29 May 2020
Segmentation Loss Odyssey
Segmentation Loss Odyssey
Jun Ma
SSeg
VLM
MedIm
14
38
0
27 May 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
12
15
0
21 Apr 2020
A Survey on Deep Learning-based Architectures for Semantic Segmentation
  on 2D images
A Survey on Deep Learning-based Architectures for Semantic Segmentation on 2D images
Irem Ülkü
Erdem Akagündüz
SSeg
17
188
0
21 Dec 2019
Automated Thalamic Nuclei Segmentation Using Multi-Planar Cascaded
  Convolutional Neural Networks
Automated Thalamic Nuclei Segmentation Using Multi-Planar Cascaded Convolutional Neural Networks
Mohammed S. Majdi
M. Keerthivasan
B. Rutt
N. Zahr
Jeffrey J. Rodríguez
M. Saranathan
11
0
0
16 Dec 2019
Deep Semantic Segmentation of Natural and Medical Images: A Review
Deep Semantic Segmentation of Natural and Medical Images: A Review
Saeid Asgari Taghanaki
Kumar Abhishek
Joseph Paul Cohen
Julien Cohen-Adad
Ghassan Hamarneh
SSeg
VLM
28
665
0
16 Oct 2019
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for
  Medical Image Segmentation
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
Nima Tajbakhsh
Laura Jeyaseelan
Q. Li
J. Chiang
Zhihao Wu
Xiaowei Ding
6
748
0
27 Aug 2019
Boundary loss for highly unbalanced segmentation
Boundary loss for highly unbalanced segmentation
H. Kervadec
Jihene Bouchtiba
Christian Desrosiers
Eric Granger
Jose Dolz
Ismail Ben Ayed
11
473
0
17 Dec 2018
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
278
10,599
0
19 Feb 2017
Previous
12