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Top Papers: Medizinische Bildsegmentierung (2017)

Die 50 meistzitierten Arbeiten zu Medizinische Bildsegmentierung aus dem Jahr 2017 (von 4.152 insgesamt).

Die automatische Bildsegmentierung ist eine Schlüsseltechnologie für die KI-gestützte Medizin. Algorithmen erkennen und markieren gezielt Organe, Tumore oder Gewebeveränderungen in CT-, MRT- und Ultraschallbildern. Das beschleunigt klinische Workflows und verbessert die Reproduzierbarkeit von Diagnosen. Diese Seite sammelt die wichtigsten Arbeiten aus diesem spezialisierten Forschungsfeld.

#PaperZitationen
1

Deep Learning in Medical Image Analysis

Dinggang Shen, Guorong Wu, Heung‐Il Suk

Annual Review of Biomedical Engineering

4.649
2

Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations

Carole H. Sudre, Wenqi Li, Tom Vercauteren et al.

Lecture notes in computer science

2.514
3

Deep Convolutional Neural Network for Inverse Problems in Imaging

Kyong Hwan Jin, Michael T. McCann, Emmanuel Froustey et al.

IEEE Transactions on Image Processing

2.477
4

A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology

Neeraj Kumar, Ruchika Verma, Sanuj Sharma et al.

IEEE Transactions on Medical Imaging

1.104
5

Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions

Zeynettin Akkus, Alfiia Galimzianova, Assaf Hoogi et al.

Journal of Digital Imaging

1.092
6

O-CNN

Peng-Shuai Wang, Yang Liu, Yu-Xiao Guo et al.

ACM Transactions on Graphics

832
7

Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks

Hao Dong, Guang Yang, Fangde Liu et al.

Communications in computer and information science

827
8

Use of image registration and fusion algorithms and techniques in radiotherapy: Report of the AAPM Radiation Therapy Committee Task Group No. 132

Kristy K. Brock, Sasa Mutic, Todd McNutt et al.

Medical Physics

817
9

A deep learning model integrating FCNNs and CRFs for brain tumor segmentation

Xiaomei Zhao, Yihong Wu, Guidong Song et al.

Medical Image Analysis

802
10

VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images

Hao Chen, Qi Dou, Lequan Yu et al.

NeuroImage

784
11

Richer Convolutional Features for Edge Detection

Yun Liu, Ming‐Ming Cheng, Xiaowei Hu et al.

762
12

SIFT Meets CNN: A Decade Survey of Instance Retrieval

Liang Zheng, Yi Yang, Qi Tian

IEEE Transactions on Pattern Analysis and Machine Intelligence

745
13

Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation

Ozan Oktay, Enzo Ferrante, Konstantinos Kamnitsas et al.

IEEE Transactions on Medical Imaging

731
14

Holistically-Nested Edge Detection

Saining Xie, Zhuowen Tu

International Journal of Computer Vision

726
15

Quicksilver: Fast predictive image registration – A deep learning approach

Xiao Yang, Roland Kwitt, Martin Styner et al.

NeuroImage

640
16

3D deeply supervised network for automated segmentation of volumetric medical images

Qi Dou, Lequan Yu, Hao Chen et al.

Medical Image Analysis

629
17

Image Analysis for MRI Based Brain Tumor Detection and Feature Extraction Using Biologically Inspired BWT and SVM

Nilesh Bhaskarrao Bahadure, Arun Kumar Ray, H. Pal Thethi

International Journal of Biomedical Imaging

602
18

A distinctive approach in brain tumor detection and classification using MRI

Javaria Amin, Muhammad Sharif, Mussarat Yasmin et al.

Pattern Recognition Letters

477
19

Superpixels and Polygons Using Simple Non-iterative Clustering

Radhakrishna Achanta, Sabine Süsstrunk

472
20

SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation

Li Yi, Hao Su, Xingwen Guo et al.

470
21

Group sparse regularization for deep neural networks

Simone Scardapane, Danilo Comminiello, Amir Hussain et al.

Neurocomputing

467
22

End-to-End Unsupervised Deformable Image Registration with a Convolutional Neural Network

Bob D. de Vos, Floris F. Berendsen, Max A. Viergever et al.

Lecture notes in computer science

464
23

Robust Registration of Multimodal Remote Sensing Images Based on Structural Similarity

Yuanxin Ye, Jie Shan, Lorenzo Bruzzone et al.

IEEE Transactions on Geoscience and Remote Sensing

461
24

Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation

Wenjia Bai, Ozan Oktay, Matthew Sinclair et al.

Lecture notes in computer science

444
25

The connected-component labeling problem: A review of state-of-the-art algorithms

Lifeng He, Xiwei Ren, Qihang Gao et al.

Pattern Recognition

431
26

Optimal Mass Transport: Signal processing and machine-learning applications

Soheil Kolouri, Se Rim Park, Matthew Thorpe et al.

IEEE Signal Processing Magazine

429
27

3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study

José Dolz, Christian Desrosiers, Ismail Ben Ayed

NeuroImage

424
28

Landmark-based deep multi-instance learning for brain disease diagnosis

Mingxia Liu, Jun Zhang, Ehsan Adeli et al.

Medical Image Analysis

422
29

Residual and plain convolutional neural networks for 3D brain MRI classification

Sergey Korolev, Amir Safiullin, Mikhail Belyaev et al.

416
30

Introduction to Mathematical Morphology

407
31

Performance analysis of image thresholding: Otsu technique

Ta Yang Goh, Shafriza Nisha Basah, Haniza Yazid et al.

Measurement

402
32

Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images

Yizhe Zhang, Lin Yang, Jianxu Chen et al.

Lecture notes in computer science

394
33

MRI based medical image analysis: Survey on brain tumor grade classification

Geethu Mohan, M. Monica Subashini

Biomedical Signal Processing and Control

390
34

Hough-CNN: Deep learning for segmentation of deep brain regions in MRI and ultrasound

Fausto Milletarì, Seyed‐Ahmad Ahmadi, Christine Kroll et al.

Computer Vision and Image Understanding

380
35

DeepNAT: Deep convolutional neural network for segmenting neuroanatomy

Christian Wachinger, Martin Reuter, Tassilo Klein

NeuroImage

361
36

A deep learning framework for supporting the classification of breast lesions in ultrasound images

Seokmin Han, Ho-Kyung Kang, Ja-Yeon Jeong et al.

Physics in Medicine and Biology

356
37

Volumetric ConvNets with Mixed Residual Connections for Automated Prostate Segmentation from 3D MR Images

Lequan Yu, Xin Yang, Hao Chen et al.

Proceedings of the AAAI Conference on Artificial Intelligence

353
38

Nonrigid Image Registration Using Multi-scale 3D Convolutional Neural Networks

Hessam Sokooti, Bob D. de Vos, Floris F. Berendsen et al.

Lecture notes in computer science

351
39

On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task

Wenqi Li, Guotai Wang, Lucas Fidon et al.

Lecture notes in computer science

346
40

SVF-Net: Learning Deformable Image Registration Using Shape Matching

Marc-Michel Rohé, Manasi Datar, Tobias Heimann et al.

Lecture notes in computer science

336
41

A survey on deep learning-based fine-grained object classification and semantic segmentation

Bo Zhao, Jiashi Feng, Xiao Wu et al.

International Journal of Automation and Computing

332
42

A Riemannian Network for SPD Matrix Learning

Zhiwu Huang, Luc Van Gool

Proceedings of the AAAI Conference on Artificial Intelligence

331
43

Deep ensemble learning of sparse regression models for brain disease diagnosis

Heung‐Il Suk, Seong‐Whan Lee, Dinggang Shen

Medical Image Analysis

329
44

Multimodal MR Synthesis via Modality-Invariant Latent Representation

Agisilaos Chartsias, T. A. Joyce, Mario Valerio Giuffrida et al.

IEEE Transactions on Medical Imaging

326
45

A Review on Real-Time 3D Ultrasound Imaging Technology

Qinghua Huang, Zhaozheng Zeng

BioMed Research International

317
46

SV-RCNet: Workflow Recognition From Surgical Videos Using Recurrent Convolutional Network

Yueming Jin, Qi Dou, Hao Chen et al.

IEEE Transactions on Medical Imaging

310
47

CASENet: Deep Category-Aware Semantic Edge Detection

Zhiding Yu, Chen Feng, Ming-Yu Liu et al.

308
48

Multilevel thresholding using grey wolf optimizer for image segmentation

Abdul Kayom Md Khairuzzaman, Saurabh Chaudhury

Expert Systems with Applications

306
49

Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising

Jun Xu, Lei Zhang, David Zhang et al.

301
50

Differential Data Augmentation Techniques for Medical Imaging Classification Tasks.

Zeshan Hussain, Francisco Javier Giménez Fuentes‐Guerra, Darvin Yi et al.

PubMed

294

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