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Top Papers: Medizinische Bildsegmentierung (2016)

Die 50 meistzitierten Arbeiten zu Medizinische Bildsegmentierung aus dem Jahr 2016 (von 4.278 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

3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

Özgün Çiçek, Ahmed Abdulkadir, Soeren S. Lienkamp et al.

Lecture notes in computer science

7.436
2

An overview of gradient descent optimization algorithms

Sebastian Ruder

arXiv (Cornell University)

4.781
3

Brain tumor segmentation with Deep Neural Networks

Mohammad Havaei, Axel Davy, David Warde-Farley et al.

Medical Image Analysis

3.173
4

Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images

Sérgio Pereira, Adriano Pinto, Victor Alves et al.

IEEE Transactions on Medical Imaging

2.604
5

Attention to Scale: Scale-Aware Semantic Image Segmentation

Liang-Chieh Chen, Yi Yang, Jiang Wang et al.

1.439
6

Pixel Recurrent Neural Networks

Aäron van den Oord, Nal Kalchbrenner, Koray Kavukcuoglu

arXiv (Cornell University)

1.305
7

Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images

Korsuk Sirinukunwattana, Shan E Ahmed Raza, Yee‐Wah Tsang et al.

IEEE Transactions on Medical Imaging

1.227
8

V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

Fausto Milletarì, Nassir Navab, Seyed‐Ahmad Ahmadi

1.060
9

EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos

Andru Putra Twinanda, Sherif Shehata, Didier Mutter et al.

IEEE Transactions on Medical Imaging

997
10

The Importance of Skip Connections in Biomedical Image Segmentation

Michal Drozdzal, Eugene Vorontsov, Gabriel Chartrand et al.

Lecture notes in computer science

970
11

Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision

Shuhang Gu, Qi Xie, Deyu Meng et al.

International Journal of Computer Vision

813
12

Automatic Segmentation of MR Brain Images With a Convolutional Neural Network

Pim Moeskops, Max A. Viergever, Adrienne M. Mendrik et al.

IEEE Transactions on Medical Imaging

766
13

Review of MRI-based Brain Tumor Image Segmentation Using Deep Learning Methods

Ali Işın, Cem Direkoğlu, Melike Şah

Procedia Computer Science

739
14

Medical Image Denoising Using Convolutional Denoising Autoencoders

Lovedeep Gondara

682
15

Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation

Jordi Pont-Tuset, Pablo Arbeláez, Jonathan T. Barron et al.

IEEE Transactions on Pattern Analysis and Machine Intelligence

609
16

ITK-SNAP: An interactive tool for semi-automatic segmentation of multi-modality biomedical images

Paul A. Yushkevich, Yang Gao, Guido Gerig

609
17

volBrain: An Online MRI Brain Volumetry System

José V. Manjón, Pierrick Coupé

Frontiers in Neuroinformatics

592
18

An introduction to continuous optimization for imaging

Antonin Chambolle, Thomas Pock

Acta Numerica

538
19

Transforms and Operators for Directional Bioimage Analysis: A Survey

Zsuzsanna Püspöki, Martin Storath, Daniel Sage et al.

Advances in anatomy, embryology and cell biology

531
20

Robust Nucleus/Cell Detection and Segmentation in Digital Pathology and Microscopy Images: A Comprehensive Review

Fuyong Xing, Lin Yang

IEEE Reviews in Biomedical Engineering

510
21

Deep MRI brain extraction: A 3D convolutional neural network for skull stripping

Jens Kleesiek, Gregor Urban, Alexander Hubert et al.

NeuroImage

508
22

A CNN Regression Approach for Real-Time 2D/3D Registration

Shun Miao, Z. Jane Wang, Rui Liao

IEEE Transactions on Medical Imaging

498
23

3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

Özgün Çiçek, Ahmed Abdulkadir, Soeren S. Lienkamp et al.

arXiv (Cornell University)

491
24

Multi-scale patch and multi-modality atlases for whole heart segmentation of MRI

Xiahai Zhuang, Juan Shen

Medical Image Analysis

491
25

Pixel Recurrent Neural Networks

Aäron van den Oord, Nal Kalchbrenner, Koray Kavukcuoglu

arXiv (Cornell University)

488
26

BIANCA (Brain Intensity AbNormality Classification Algorithm): A new tool for automated segmentation of white matter hyperintensities

Ludovica Griffanti, Giovanna Zamboni, Aamira Khan et al.

NeuroImage

433
27

Median Robust Extended Local Binary Pattern for Texture Classification

Li Liu, Songyang Lao, Paul Fieguth et al.

IEEE Transactions on Image Processing

419
28

DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks

Martin Rajchl, Matthew C. H. Lee, Ozan Oktay et al.

IEEE Transactions on Medical Imaging

410
29

Layer-Wise Relevance Propagation for Neural Networks with Local Renormalization Layers

Alexander Binder, Grégoire Montavon, Sebastian Lapuschkin et al.

Lecture notes in computer science

384
30

Real-Time Superpixel Segmentation by DBSCAN Clustering Algorithm

Jianbing Shen, Xiaopeng Hao, Zhiyuan Liang et al.

IEEE Transactions on Image Processing

371
31

Object Contour Detection with a Fully Convolutional Encoder-Decoder Network

Shuicheng Yan, Brian Price, Scott Cohen et al.

370
32

Glaucoma detection using entropy sampling and ensemble learning for automatic optic cup and disc segmentation

Julian Zilly, Joachim M. Buhmann, Dwarikanath Mahapatra

Computerized Medical Imaging and Graphics

369
33

Classification of CT brain images based on deep learning networks

Xiaohong Gao, Rui Hui, Zengmin Tian

Computer Methods and Programs in Biomedicine

349
34

Machine learning approaches in medical image analysis: From detection to diagnosis

Marleen de Bruijne

Medical Image Analysis

339
35

Combining deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance

Tuan Anh Ngo, Zhi Lu, Gustavo Carneiro

Medical Image Analysis

336
36

Deep Filter Banks for Texture Recognition, Description, and Segmentation

Mircea Cimpoi, Subhransu Maji, Iasonas Kokkinos et al.

International Journal of Computer Vision

333
37

Deep Learning for Multi-task Medical Image Segmentation in Multiple Modalities

Pim Moeskops, Jelmer M. Wolterink, Bas H. M. van der Velden et al.

Lecture notes in computer science

322
38

A Fully Convolutional Neural Network for Cardiac Segmentation in Short-Axis MRI

Phi Vu Tran

arXiv (Cornell University)

321
39

SimpleElastix: A User-Friendly, Multi-lingual Library for Medical Image Registration

Kasper Marstal, Floris F. Berendsen, Marius Staring et al.

319
40

Brain shift in neuronavigation of brain tumors: A review

Ian J. Gerard, Marta Kersten‐Oertel, Kevin Petrecca et al.

Medical Image Analysis

314
41

Automated brain tumour detection and segmentation using superpixel-based extremely randomized trees in FLAIR MRI

Mohammadreza Soltaninejad, Guang Yang, Tryphon Lambrou et al.

International Journal of Computer Assisted Radiology and Surgery

308
42

A survey of medical image registration – under review

Max A. Viergever, J. B. Antoine Maintz, Stefan Klein et al.

Medical Image Analysis

306
43

3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes

Qi Dou, Hao Chen, Yueming Jin et al.

Lecture notes in computer science

305
44

A survey of deep learning methods and software tools for image classification and object detection

P. N. Druzhkov, Валентина Кустикова

Pattern Recognition and Image Analysis

302
45

Enhancement of Vascular Structures in3D and 2D Angiographic Images

Tim Jerman, Franjo Pernuš, Boštjan Likar et al.

IEEE Transactions on Medical Imaging

287
46

Automatic 3D liver location and segmentation via convolutional neural network and graph cut

Lu Fang, Fa Wu, Peijun Hu et al.

International Journal of Computer Assisted Radiology and Surgery

281
47

HeMIS: Hetero-Modal Image Segmentation

Mohammad Havaei, Nicolas Guizard, Nicolas Chapados et al.

Lecture notes in computer science

263
48

Mitosis Detection in Breast Cancer Histology Images via Deep Cascaded Networks

Hao Chen, Qi Dou, Xi Wang et al.

Proceedings of the AAAI Conference on Artificial Intelligence

259
49

V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image\n Segmentation

Fausto Milletarì, Nassir Navab, Seyed‐Ahmad Ahmadi

arXiv (Cornell University)

255
50

Fast and sequence-adaptive whole-brain segmentation using parametric Bayesian modeling

Oula Puonti, Juan Eugenio Iglesias, Koen Van Leemput

NeuroImage

253

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