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Top Papers: Medizinische Bildsegmentierung (2018)

Die 50 meistzitierten Arbeiten zu Medizinische Bildsegmentierung aus dem Jahr 2018 (von 4.157 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

FFDNet: Toward a Fast and Flexible Solution for CNN-Based Image Denoising

Kai Zhang, Wangmeng Zuo, Lei Zhang

IEEE Transactions on Image Processing

2.423
2

ICNet for Real-Time Semantic Segmentation on High-Resolution Images

Hengshuang Zhao, Xiaojuan Qi, Xiaoyong Shen et al.

Lecture notes in computer science

1.555
3

Cell Detection with Star-Convex Polygons

Uwe Schmidt, Martin Weigert, Coleman Broaddus et al.

Lecture notes in computer science

1.431
4

PCN: Point Completion Network

Wentao Yuan, Tejas Khot, David Held et al.

926
5

Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning

Guotai Wang, Wenqi Li, María A. Zuluaga et al.

IEEE Transactions on Medical Imaging

845
6

A deep learning framework for unsupervised affine and deformable image registration

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

Medical Image Analysis

807
7

Richer Convolutional Features for Edge Detection

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

IEEE Transactions on Pattern Analysis and Machine Intelligence

764
8

In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images

Eric Christiansen, Samuel Yang, D. Michael Ando et al.

Cell

668
9

Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction

Chen Qin, Jo Schlemper, José Caballero et al.

IEEE Transactions on Medical Imaging

606
10

An Unsupervised Learning Model for Deformable Medical Image Registration

Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu et al.

566
11

A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using <sup>18</sup>F-FDG PET of the Brain

Yiming Ding, Jae Ho Sohn, Michael Kawczynski et al.

Radiology

563
12

Blood vessel segmentation algorithms — Review of methods, datasets and evaluation metrics

Sara Moccia, Elena De Momi, Sara El Hadji et al.

Computer Methods and Programs in Biomedicine

546
13

NiftyNet: a deep-learning platform for medical imaging

Eli Gibson, Wenqi Li, Carole H. Sudre et al.

Computer Methods and Programs in Biomedicine

545
14

Automatic Brain Tumor Segmentation Using Cascaded Anisotropic Convolutional Neural Networks

Guotai Wang, Wenqi Li, Sébastien Ourselin et al.

Lecture notes in computer science

518
15

Significantly Fast and Robust Fuzzy C-Means Clustering Algorithm Based on Morphological Reconstruction and Membership Filtering

Tao Lei, Xiaohong Jia, Yanning Zhang et al.

IEEE Transactions on Fuzzy Systems

478
16

DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation

Guotai Wang, María A. Zuluaga, Wenqi Li et al.

IEEE Transactions on Pattern Analysis and Machine Intelligence

475
17

Identification and classification of brain tumor MRI images with feature extraction using DWT and probabilistic neural network

N. Varuna Shree, T. N. R. Kumar

Brain Informatics

472
18

Deep convolutional neural networks for diabetic retinopathy detection by image classification

Shaohua Wan, Yan Liang, Yin Zhang⋆

Computers & Electrical Engineering

463
19

Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling

Xingyuan Sun, Jiajun Wu, Xiuming Zhang et al.

453
20

Brain MRI analysis for Alzheimer’s disease diagnosis using an ensemble system of deep convolutional neural networks

Jyoti Islam, Yanqing Zhang

Brain Informatics

452
21

Weakly-supervised convolutional neural networks for multimodal image registration

Yipeng Hu, Marc Modat, Eli Gibson et al.

Medical Image Analysis

449
22

Context Contrasted Feature and Gated Multi-scale Aggregation for Scene Segmentation

Henghui Ding, Xudong Jiang, Bing Shuai et al.

431
23

Learning SO(3) Equivariant Representations with Spherical CNNs

Carlos Esteves, Christine Allen-Blanchette, Ameesh Makadia et al.

Lecture notes in computer science

401
24

Multi-Modality Cascaded Convolutional Neural Networks for Alzheimer’s Disease Diagnosis

Manhua Liu, Danni Cheng, Kundong Wang et al.

Neuroinformatics

385
25

From BoW to CNN: Two Decades of Texture Representation for Texture Classification

Li Liu, Jie Chen, Paul Fieguth et al.

International Journal of Computer Vision

373
26

Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration

Adrian V. Dalca, Guha Balakrishnan, John V. Guttag et al.

Lecture notes in computer science

369
27

Superpixel-Based Fast Fuzzy C-Means Clustering for Color Image Segmentation

Tao Lei, Xiaohong Jia, Yanning Zhang et al.

IEEE Transactions on Fuzzy Systems

354
28

Multivariate Mixture Model for Myocardial Segmentation Combining Multi-Source Images

Xiahai Zhuang

IEEE Transactions on Pattern Analysis and Machine Intelligence

345
29

Lung CT Image Segmentation Using Deep Neural Networks

Brahim Ait Skourt, Abdelhamid El Hassani, Aicha Majda

Procedia Computer Science

342
30

Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation

Holger R. Roth, Le Lü, Nathan Lay et al.

Medical Image Analysis

328
31

Big data analysis for brain tumor detection: Deep convolutional neural networks

Javaria Amin, Muhammad Sharif, Mussarat Yasmin et al.

Future Generation Computer Systems

321
32

Fast Nearest Neighbor Search in Medical Image Databases

Flip Korn, Nicholas D. Sidiropoulos, Christos Faloutsos et al.

Digital Repository at the University of Maryland (University of Maryland College Park)

317
33

Image Smoothing Via L 0 Gradient Minimization

Sonali Dayal

International Journal of Scientific Research in Computer Science Engineering and Information Technology

302
34

Applications of deep learning to MRI images: A survey

Jin Liu, Yi Pan, Min Li et al.

Big Data Mining and Analytics

292
35

Superpixel Sampling Networks

Varun Jampani, Deqing Sun, Mingyu Liu et al.

Lecture notes in computer science

286
36

Guided Locality Preserving Feature Matching for Remote Sensing Image Registration

Jiayi Ma, Junjun Jiang, Huabing Zhou et al.

IEEE Transactions on Geoscience and Remote Sensing

283
37

Automatic breast ultrasound image segmentation: A survey

Min Xian, Yingtao Zhang, He Cheng et al.

Pattern Recognition

273
38

Learning to Predict Crisp Boundaries

Ruoxi Deng, Chunhua Shen, Shengjun Liu et al.

Lecture notes in computer science

269
39

Single Image 3D Interpreter Network

Jiajun Wu, Tianfan Xue, Joseph J. Lim et al.

DSpace@MIT (Massachusetts Institute of Technology)

262
40

Recurrent Saliency Transformation Network: Incorporating Multi-stage Visual Cues for Small Organ Segmentation

Qihang Yu, Lingxi Xie, Yan Wang et al.

260
41

QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy

Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab et al.

NeuroImage

254
42

Ensemble of 3D densely connected convolutional network for diagnosis of mild cognitive impairment and Alzheimer’s disease

Hongfei Wang, Yanyan Shen, Shuqiang Wang et al.

Neurocomputing

253
43

Generative Adversarial Network for Medical Images (MI-GAN)

Talha Iqbal, Hazrat Ali

Journal of Medical Systems

251
44

Inter-observer variability of manual contour delineation of structures in CT

Leo Joskowicz, Dalia Cohen, Nadia Caplan et al.

European Radiology

248
45

Beyond the Pixel-Wise Loss for Topology-Aware Delineation

Agata Mosinska, Pablo Márquez-Neila, Mateusz Koziński et al.

246
46

Fully Automatic Brain Tumor Segmentation using End-To-End Incremental Deep Neural Networks in MRI images

Mostefa Ben Naceur, Rachida Saouli, Mohamed Akil et al.

Computer Methods and Programs in Biomedicine

243
47

Brain tumor segmentation in multi‐spectral MRI using convolutional neural networks (CNN)

Sajid Iqbal, Muhammad Usman Ghani, Tanzila Saba et al.

Microscopy Research and Technique

242
48

Classification of Alzheimer’s Disease by Combination of Convolutional and Recurrent Neural Networks Using FDG-PET Images

Manhua Liu, Danni Cheng, Weiwu Yan et al.

Frontiers in Neuroinformatics

240
49

An Overview of Watershed Algorithm Implementations in Open Source Libraries

Anton Kornilov, Ilia V. Safonov

Journal of Imaging

240
50

Fully convolutional network ensembles for white matter hyperintensities segmentation in MR images

Hongwei Li, Gongfa Jiang, Jianguo Zhang et al.

NeuroImage

233

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