Top Papers: Medizinische Bildsegmentierung (2019)

Dynamic Graph CNN for Learning on Point Clouds

Yue Wang, Yongbin Sun, Ziwei Liu et al.

ACM Transactions on Graphics

VoxelMorph: A Learning Framework for Deformable Medical Image Registration

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

IEEE Transactions on Medical Imaging

Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges

Mohammad Hesam Hesamian, Wenjing Jia, Xiangjian He et al.

Journal of Digital Imaging

Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm

Canyi Lu, Jiashi Feng, Yudong Chen et al.

IEEE Transactions on Pattern Analysis and Machine Intelligence

Uncertainty-Aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation

Lequan Yu, Shujun Wang, Xiaomeng Li et al.

Lecture notes in computer science

Brain tumor classification for MR images using transfer learning and fine-tuning

Zar Nawab Khan Swati, Qinghua Zhao, Muhammad Kabir et al.

Computerized Medical Imaging and Graphics

VoxelMorph: A Learning Framework for Deformable Medical Image Registration

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

DSpace@MIT (Massachusetts Institute of Technology)

Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks

Veit Sandfort, Ke Yan, Perry J. Pickhardt et al.

Scientific Reports

High-Resolution Representations for Labeling Pixels and Regions

Ke Sun, Yang Zhao, Borui Jiang et al.

arXiv (Cornell University)

Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks

Guotai Wang, Wenqi Li, Michaël Aertsen et al.

Neurocomputing

Abstract: nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation

Fabian Isensee, Jens Petersen, André Klein et al.

Informatik aktuell

A multi-model deep convolutional neural network for automatic hippocampus segmentation and classification in Alzheimer’s disease

Manhua Liu, Fan Li, Hao Yan et al.

NeuroImage

A Multi-Organ Nucleus Segmentation Challenge

Neeraj Kumar, Ruchika Verma, Deepak Anand et al.

IEEE Transactions on Medical Imaging

Texture Feature Extraction Methods: A Survey

Anne Humeau‐Heurtier

IEEE Access

NAS-Unet: Neural Architecture Search for Medical Image Segmentation

Yu Weng, Tianbao Zhou, Yujie Li et al.

IEEE Access

Global Second-Order Pooling Convolutional Networks

Zilin Gao, Jiangtao Xie, Qilong Wang et al.

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Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation

Amy Zhao, Guha Balakrishnan, Frédo Durand et al.

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Image denoising review: From classical to state-of-the-art approaches

Bhawna Goyal, Ayush Dogra, Sunil Agrawal et al.

Information Fusion

Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces

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

Medical Image Analysis

Convolutional neural network based Alzheimer’s disease classification from magnetic resonance brain images

Rachna Jain, Nikita Jain, Akshay Aggarwal et al.

Cognitive Systems Research

A review on brain tumor segmentation of MRI images

Anjali Wadhwa, Anuj Bhardwaj, Vivek Singh Verma

Magnetic Resonance Imaging

Axial Attention in Multidimensional Transformers

Jonathan Ho, Nal Kalchbrenner, Dirk Weissenborn et al.

arXiv (Cornell University)

Integrating spatial configuration into heatmap regression based CNNs for landmark localization

Christian Payer, Darko Štern, Horst Bischof et al.

Medical Image Analysis

Brain tumor segmentation and classification from magnetic resonance images: Review of selected methods from 2014 to 2019

Arti Tiwari, Shilpa Srivastava, Millie Pant

Pattern Recognition Letters

Learning Active Contour Models for Medical Image Segmentation

Chen Xu, Bryan M. Williams, S. Rao Vallabhaneni et al.

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MeshNet: Mesh Neural Network for 3D Shape Representation

Yutong Feng, Yifan Feng, Haoxuan You et al.

Proceedings of the AAAI Conference on Artificial Intelligence

Data Augmentation for Brain-Tumor Segmentation: A Review

Jakub Nalepa, Michał Marcinkiewicz, Michał Kawulok

Frontiers in Computational Neuroscience

Active deep neural network features selection for segmentation and recognition of brain tumors using MRI images

Muhammad Irfan Sharif, Jianping Li, Muhammad Attique Khan et al.

Pattern Recognition Letters

Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis

Zongwei Zhou, Vatsal Sodha, Md Mahfuzur Rahman Siddiquee et al.

Lecture notes in computer science

3D whole brain segmentation using spatially localized atlas network tiles

Yuankai Huo, Zhoubing Xu, Yunxi Xiong et al.

NeuroImage

BrainMRNet: Brain tumor detection using magnetic resonance images with a novel convolutional neural network model

Mesut Toğaçar, Burhan Ergen, Zafer Cömert

Medical Hypotheses

Segmentation of digital rock images using deep convolutional autoencoder networks

Sadegh Karimpouli, Pejman Tahmasebi

Computers & Geosciences

Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge

Hugo J. Kuijf, Adrià Casamitjana, D. Louis Collins et al.

IEEE Transactions on Medical Imaging

Cobb Angle Measurement of Spine from X-Ray Images Using Convolutional Neural Network

Ming‐Huwi Horng, Chan‐Pang Kuok, Min-Jun Fu et al.

Computational and Mathematical Methods in Medicine

Recursive Cascaded Networks for Unsupervised Medical Image Registration

Shengyu Zhao, Yue Dong, Eric Chang et al.

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BIRNet: Brain image registration using dual-supervised fully convolutional networks

Jingfan Fan, Xiaohuan Cao, Pew‐Thian Yap et al.

Medical Image Analysis

RIC-Unet: An Improved Neural Network Based on Unet for Nuclei Segmentation in Histology Images

Zitao Zeng, Weihao Xie, Yunzhe Zhang et al.

IEEE Access

Diagnosis of Alzheimer’s Disease via Multi-Modality 3D Convolutional Neural Network

Yechong Huang, Jiahang Xu, Yuncheng Zhou et al.

Frontiers in Neuroscience

Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images

Yi Zhou, Xiaodong He, Lei Huang et al.

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Unsupervised 3D End-to-End Medical Image Registration With Volume Tweening Network

Shengyu Zhao, Tingfung Lau, Ji Luo et al.

IEEE Journal of Biomedical and Health Informatics

Deep learning based enhanced tumor segmentation approach for MR brain images

Mamta Mittal, Lalit Mohan Goyal, Sumit Kaur et al.

Applied Soft Computing

An automatic method for lung segmentation and reconstruction in chest X-ray using deep neural networks

Johnatan Carvalho Souza, João Otávio Bandeira Diniz, Jonnison Lima Ferreira et al.

Computer Methods and Programs in Biomedicine

Brain Tumor Detection and Segmentation in MR Images Using Deep Learning

Sidra Sajid, Saddam Hussain, Amna Sarwar

Arabian Journal for Science and Engineering

Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders

Francisco J. Martínez-Murcia, Andrés Ortíz, J. M. Górriz et al.

IEEE Journal of Biomedical and Health Informatics

Deep vessel segmentation by learning graphical connectivity

Seung Yeon Shin, Soochahn Lee, Il Dong Yun et al.

Medical Image Analysis

S3D-UNet: Separable 3D U-Net for Brain Tumor Segmentation

Wei Chen, Boqiang Liu, Suting Peng et al.

Lecture notes in computer science

Automatic Brain Tumor Segmentation Based on Cascaded Convolutional Neural Networks With Uncertainty Estimation

Guotai Wang, Wenqi Li, Sébastien Ourselin et al.

Frontiers in Computational Neuroscience

Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images

M. Mohammed Thaha, Krishan Kumar, B. S. Murugan et al.

Journal of Medical Systems

Abdominal multi-organ segmentation with organ-attention networks and statistical fusion

Yan Wang, Yuyin Zhou, Wei Shen et al.

Medical Image Analysis

Automatic 3D Bi-Ventricular Segmentation of Cardiac Images by a Shape-Refined Multi- Task Deep Learning Approach

Jinming Duan, Ghalib Bello, Jo Schlemper et al.

IEEE Transactions on Medical Imaging