Top Papers: Medizinische Bildsegmentierung (2014)

Die 50 meistzitierten Arbeiten zu Medizinische Bildsegmentierung aus dem Jahr 2014 (von 4.484 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.

2012 2013 2014 2015

#	Paper	Zitationen
1	The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) Bjoern Menze, András Jakab, Stefan Bauer et al. IEEE Transactions on Medical Imaging	6.219
2	Multiscale Combinatorial Grouping Pablo Arbeláez, Jordi Pont-Tuset, Jon Barron et al. —	1.210
3	Fast Edge Detection Using Structured Forests Piotr Dollár, C. Lawrence Zitnick IEEE Transactions on Pattern Analysis and Machine Intelligence	956
4	Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis Heung‐Il Suk, Seong‐Whan Lee, Dinggang Shen NeuroImage	950
5	Neuronal morphometry directly from bitmap images Tiago Ferreira, Arne V. Blackman, Julia Oyrer et al. Nature Methods	768
6	Large-scale evaluation of ANTs and FreeSurfer cortical thickness measurements Nicholas J. Tustison, Philip A. Cook, Arno Klein et al. NeuroImage	727
7	The Insight ToolKit image registration framework Brian Avants, Nicholas J. Tustison, Michael Stauffer et al. Frontiers in Neuroinformatics	689
8	Image processing of multiphase images obtained via X‐ray microtomography: A review Steffen Schlüter, Adrian Sheppard, K. Brown et al. Water Resources Research	631
9	Computer-aided diagnosis of human brain tumor through MRI: A survey and a new algorithm El‐Sayed A. El‐Dahshan, Heba Mohsen, Kenneth Revett et al. Expert Systems with Applications	626
10	Recurrent Convolutional Neural Networks for Scene Labeling Pedro O. Pinheiro, Ronan Collobert Infoscience (Ecole Polytechnique Fédérale de Lausanne)	622
11	Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis Rongjian Li, Wenlu Zhang, Heung‐Il Suk et al. Lecture notes in computer science	482
12	Sliced and Radon Wasserstein Barycenters of Measures Nicolas Bonneel, Julien Rabin, Gabriel Peyré et al. Journal of Mathematical Imaging and Vision	423
13	A New 2.5D Representation for Lymph Node Detection using Random Sets of\n Deep Convolutional Neural Network Observations Holger R. Roth, Le Lü, Ari Seff et al. arXiv (Cornell University)	416
14	Automatic Whole Brain MRI Segmentation of the Developing Neonatal Brain Antonios Makropoulos, Ioannis S. Gousias, Christian Ledig et al. IEEE Transactions on Medical Imaging	404
15	An improved Canny edge detection algorithm Weibin Rong, Zhanjing Li, Wěi Zhāng et al. —	404
16	Statistical normalization techniques for magnetic resonance imaging Russell T. Shinohara, Elizabeth Sweeney, Jeff Goldsmith et al. NeuroImage Clinical	400
17	A survey of MRI-based brain tumor segmentation methods Jin Liu, Min Li, Jianxin Wang et al. Tsinghua Science & Technology	378
18	Global image registration using a symmetric block-matching approach Marc Modat, David M. Cash, Pankaj Daga et al. Journal of Medical Imaging	372
19	Vision 20/20: Perspectives on automated image segmentation for radiotherapy G Sharp, Karl Fritscher, Vladimír Pekar et al. Medical Physics	372
20	Multi-atlas segmentation of the whole hippocampus and subfields using multiple automatically generated templates Jon Pipitone, Min Tae M Park, Julie L. Winterburn et al. NeuroImage	369
21	Multiplicative intrinsic component optimization (MICO) for MRI bias field estimation and tissue segmentation Chunming Li, John C. Gore, Christos Davatzikos Magnetic Resonance Imaging	367
22	Lazy Random Walks for Superpixel Segmentation Jianbing Shen, Yunfan Du, Wenguan Wang et al. IEEE Transactions on Image Processing	345
23	A Novel Point-Matching Algorithm Based on Fast Sample Consensus for Image Registration Yue Wu, Wenping Ma, Maoguo Gong et al. IEEE Geoscience and Remote Sensing Letters	336
24	Modified artificial bee colony based computationally efficient multilevel thresholding for satellite image segmentation using Kapur’s, Otsu and Tsallis functions Ashish Kumar Bhandari, Anil Kumar, Gagandeep Singh Expert Systems with Applications	336
25	Sparse Modeling for Image and Vision Processing Julien Mairal now publishers, Inc. eBooks	328
26	Medical Image Segmentation Methods, Algorithms, and Applications Alireza Norouzi, Mohd Shafry Mohd Rahim, Ayman Altameem et al. IETE Technical Review	320
27	Shape constrained additive models Natalya Pya, Simon N. Wood Statistics and Computing	296
28	Sparse Modeling for Image and Vision Processing Julien Mairal, Francis Bach, Jean Ponce et al. —	294
29	Rigid-Motion Scattering for Texture Classification Laurent Sifre, Stéphane Mallat arXiv (Cornell University)	277
30	Optimal Symmetric Multimodal Templates and Concatenated Random Forests for Supervised Brain Tumor Segmentation (Simplified) with ANTsR Nicholas J. Tustison, K. L. Shrinidhi, Max Wintermark et al. Neuroinformatics	277
31	The ANACONDA algorithm for deformable image registration in radiotherapy Ola Weistrand, Stina Svensson Medical Physics	274
32	Morphometry of anatomical shape complexes with dense deformations and sparse parameters Stanley Durrleman, Marcel Prastawa, Nicolas Charon et al. NeuroImage	270
33	Early diagnosis of Alzheimer׳s disease based on partial least squares, principal component analysis and support vector machine using segmented MRI images L. Khedher, Javier Ramı́rez, J. M. Górriz et al. Neurocomputing	263
34	Medical image segmentation on GPUs – A comprehensive review Erik Smistad, Thomas L. Falch, Mohammadmehdi Bozorgi et al. Medical Image Analysis	261
35	Transfer Learning Improves Supervised Image Segmentation Across Imaging Protocols Annegreet van Opbroek, M. Arfan Ikram, Meike W. Vernooij et al. IEEE Transactions on Medical Imaging	259
36	SEEDS: Superpixels Extracted Via Energy-Driven Sampling Michael Van den Bergh, Xavier Boix, Gemma Roig et al. International Journal of Computer Vision	241
37	Retinal vessels segmentation based on level set and region growing Yu Zhao, Xiaohong Wang, Xiao Fang Wang et al. Pattern Recognition	241
38	PET Image Reconstruction Using Kernel Method Guobao Wang, Jinyi Qi IEEE Transactions on Medical Imaging	238
39	Segmentation of Brain Tumor Tissues with Convolutional Neural Networks Darko Zikic, Yani Ioannou, Antonio Criminisi et al. —	223
40	Non-rigid visible and infrared face registration via regularized Gaussian fields criterion Jiayi Ma, Ji Zhao, Yong Ma et al. Pattern Recognition	222
41	Brain Tumor Segmentation Based on Local Independent Projection-Based Classification Meiyan Huang, Wei Yang, Yao Wu et al. IEEE Transactions on Biomedical Engineering	217
42	Threshold prediction for segmenting tumour from brain MRI scans M. Marsaline Beno, Valarmathi I. R, Swamy S. M et al. International Journal of Imaging Systems and Technology	216
43	Segmentation of Tumor and Edema Along With Healthy Tissues of Brain Using Wavelets and Neural Networks Ayşe Demi̇rhan, M Törü, İnan Güler IEEE Journal of Biomedical and Health Informatics	215
44	Local Mesh Patterns Versus Local Binary Patterns: Biomedical Image Indexing and Retrieval Subrahmanyam Murala, Q. M. Jonathan Wu IEEE Journal of Biomedical and Health Informatics	214
45	Image Segmentation Techniques: A Survey Waseem Khan Journal of Image and Graphics	210
46	Multiple instance learning for classification of dementia in brain MRI Tong Tong, Robin Wolz, Qinquan Gao et al. Medical Image Analysis	208
47	Bilateral texture filtering Hojin Cho, Hyunjoon Lee, Henry Kang et al. ACM Transactions on Graphics	206
48	BRINT: Binary Rotation Invariant and Noise Tolerant Texture Classification Li Liu, Yunli Long, Paul Fieguth et al. IEEE Transactions on Image Processing	203
49	TNO Image Fusion Dataset Alexander Toet Figshare	202
50	Object Partitioning Using Local Convexity Simon Christoph Stein, Markus Schoeler, Jérémie Papon et al. —	193

Top Papers: Medizinische Bildsegmentierung (2014)

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