Top Papers: Medizinische Bildsegmentierung (2014)

Die 50 meistzitierten Arbeiten zu Medizinische Bildsegmentierung aus dem Jahr 2014 (von 4.492 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	6.330
2	Multiscale Combinatorial Grouping Pablo Arbeláez, Jordi Pont-Tuset, Jon Barron et al. —	1.216
3	Fast Edge Detection Using Structured Forests Piotr Dollár, C. Lawrence Zitnick IEEE Transactions on Pattern Analysis and Machine Intelligence	960
4	Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis Heung‐Il Suk, Seong‐Whan Lee, Dinggang Shen NeuroImage	954
5	Neuronal morphometry directly from bitmap images Tiago Ferreira, Arne V. Blackman, Julia Oyrer et al. Nature Methods	775
6	Large-scale evaluation of ANTs and FreeSurfer cortical thickness measurements Nicholas J. Tustison, Philip A. Cook, Arno Klein et al. NeuroImage	733
7	The Insight ToolKit image registration framework Brian Avants, Nicholas J. Tustison, Michael Stauffer et al. Frontiers in Neuroinformatics	702
8	Image processing of multiphase images obtained via X‐ray microtomography: A review Steffen Schlüter, Adrian Sheppard, K. Brown et al. Water Resources Research	639
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	627
10	Recurrent Convolutional Neural Networks for Scene Labeling Pedro O. Pinheiro, Ronan Collobert Infoscience (Ecole Polytechnique Fédérale de Lausanne)	624
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	483
12	Sliced and Radon Wasserstein Barycenters of Measures Nicolas Bonneel, Julien Rabin, Gabriel Peyré et al. Journal of Mathematical Imaging and Vision	429
13	A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations Holger R. Roth, Le Lü, Ari Seff et al. arXiv (Cornell University)	417
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	410
15	An improved Canny edge detection algorithm Weibin Rong, Zhanjing Li, Wěi Zhāng et al. —	407
16	Statistical normalization techniques for magnetic resonance imaging Russell T. Shinohara, Elizabeth Sweeney, Jeff Goldsmith et al. NeuroImage Clinical	406
17	A survey of MRI-based brain tumor segmentation methods Jin Liu, Min Li, Jianxin Wang et al. Tsinghua Science & Technology	380
18	Global image registration using a symmetric block-matching approach Marc Modat, David M. Cash, Pankaj Daga et al. Journal of Medical Imaging	380
19	Vision 20/20: Perspectives on automated image segmentation for radiotherapy G Sharp, Karl Fritscher, Vladimír Pekar et al. Medical Physics	374
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	369
22	Lazy Random Walks for Superpixel Segmentation Jianbing Shen, Yunfan Du, Wenguan Wang et al. IEEE Transactions on Image Processing	346
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	337
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	337
25	Sparse Modeling for Image and Vision Processing Julien Mairal now publishers, Inc. eBooks	330
26	Medical Image Segmentation Methods, Algorithms, and Applications Alireza Norouzi, Mohd Shafry Mohd Rahim, Ayman Altameem et al. IETE Technical Review	321
27	Shape constrained additive models Natalya Pya, Simon N. Wood Statistics and Computing	300
28	Sparse Modeling for Image and Vision Processing Jean Ponce, Julien Mairal, Francis Bach et al. —	297
29	Rigid-Motion Scattering for Texture Classification Laurent Sifre, Stéphane Mallat arXiv (Cornell University)	279
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	278
31	The ANACONDA algorithm for deformable image registration in radiotherapy Ola Weistrand, Stina Svensson Medical Physics	276
32	Morphometry of anatomical shape complexes with dense deformations and sparse parameters Stanley Durrleman, Marcel Prastawa, Nicolas Charon et al. NeuroImage	271
33	Medical image segmentation on GPUs – A comprehensive review Erik Smistad, Thomas L. Falch, Mohammadmehdi Bozorgi et al. Medical Image Analysis	263
34	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
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	260
36	SEEDS: Superpixels Extracted Via Energy-Driven Sampling Michael Van den Bergh, Xavier Boix, Gemma Roig et al. International Journal of Computer Vision	243
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	Non-rigid visible and infrared face registration via regularized Gaussian fields criterion Jiayi Ma, Ji Zhao, Yong Ma et al. Pattern Recognition	224
40	Segmentation of Brain Tumor Tissues with Convolutional Neural Networks Darko Zikic, Yani Ioannou, Antonio Criminisi et al. —	223
41	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	218
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	218
43	Brain Tumor Segmentation Based on Local Independent Projection-Based Classification Meiyan Huang, Wei Yang, Yao Wu et al. IEEE Transactions on Biomedical Engineering	217
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	215
45	Image Segmentation Techniques: A Survey Waseem Khan Journal of Image and Graphics	211
46	Multiple instance learning for classification of dementia in brain MRI Tong Tong, Robin Wolz, Qinquan Gao et al. Medical Image Analysis	210
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	205
49	TNO Image Fusion Dataset Alexander Toet Figshare	202
50	Object Partitioning Using Local Convexity Simon Christoph Stein, Markus Schoeler, Jérémie Papon et al. —	195

Top Papers: Medizinische Bildsegmentierung (2014)

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