Top Papers: Medizinische Bildsegmentierung (2022)

Instant neural graphics primitives with a multiresolution hash encoding

Thomas Müller, Alex Evans, Christoph Schied et al.

ACM Transactions on Graphics

Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images

Ali Hatamizadeh, Vishwesh Nath, Yucheng Tang et al.

Lecture notes in computer science

A Survey of Quantization Methods for Efficient Neural Network Inference

Amir Gholami, Sehoon Kim, Zhen Dong et al.

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UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-Wise Perspective with Transformer

Haonan Wang, Peng Cao, Jiaqi Wang et al.

Proceedings of the AAAI Conference on Artificial Intelligence

DS-TransUNet: Dual Swin Transformer U-Net for Medical Image Segmentation

Ailiang Lin, Bingzhi Chen, Jiayu Xu et al.

IEEE Transactions on Instrumentation and Measurement

UNeXt: MLP-Based Rapid Medical Image Segmentation Network

Jeya Maria Jose Valanarasu, Vishal M. Patel

Lecture notes in computer science

TransMorph: Transformer for unsupervised medical image registration

Junyu Chen, Eric C. Frey, Yufan He et al.

Medical Image Analysis

Brain tumor segmentation based on the fusion of deep semantics and edge information in multimodal MRI

Zhiqin Zhu, Xianyu He, Guanqiu Qi et al.

Information Fusion

MISSFormer: An Effective Transformer for 2D Medical Image Segmentation

Xiaohong Huang, Zhifang Deng, Dandan Li et al.

IEEE Transactions on Medical Imaging

Deep learning based brain tumor segmentation: a survey

Zhihua Liu, Lei Tong, Long Chen et al.

Complex & Intelligent Systems

Image Segmentation for MR Brain Tumor Detection Using Machine Learning: A Review

Toufique Ahmed Soomro, Lihong Zheng, Ahmed J. Afifi et al.

IEEE Reviews in Biomedical Engineering

ConvUNeXt: An efficient convolution neural network for medical image segmentation

Zhimeng Han, Muwei Jian, Gai‐Ge Wang

Knowledge-Based Systems

RTMDet: An Empirical Study of Designing Real-Time Object Detectors

Chengqi Lyu, Wenwei Zhang, Haian Huang et al.

arXiv (Cornell University)

SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation

Chenyu You, Yuan Zhou, Ruihan Zhao et al.

IEEE Transactions on Medical Imaging

Shape-Adaptive Selection and Measurement for Oriented Object Detection

Liping Hou, Ke Lü, Jian Xue et al.

Proceedings of the AAAI Conference on Artificial Intelligence

Recent advances on image edge detection: A comprehensive review

Junfeng Jing, Shenjuan Liu, Gang Wang et al.

Neurocomputing

Deep Neural Networks for Medical Image Segmentation

Priyanka Malhotra, Sheifali Gupta, Deepika Koundal et al.

Journal of Healthcare Engineering

TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers

Yikang Ding, Wentao Yuan, Qingtian Zhu et al.

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

SwinBTS: A Method for 3D Multimodal Brain Tumor Segmentation Using Swin Transformer

Yun Jiang, Yuan Zhang, Xin Lin et al.

Brain Sciences

A review on 2D instance segmentation based on deep neural networks

Wenchao Gu, Shuang Bai, Lingxing Kong

Image and Vision Computing

EDTER: Edge Detection with Transformer

Mengyang Pu, Yaping Huang, Yuming Liu et al.

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Transfer learning for medical images analyses: A survey

Xiang Yu, Jian Wang, Qingqi Hong et al.

Neurocomputing

Pooling in convolutional neural networks for medical image analysis: a survey and an empirical study

Rajendran Nirthika, Siyamalan Manivannan, Amirthalingam Ramanan et al.

Neural Computing and Applications

A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

Himashi Peiris, Munawar Hayat, Zhaolin Chen et al.

Lecture notes in computer science

Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation

Yicheng Wu, Zhonghua Wu, Qianyi Wu et al.

Lecture notes in computer science

Swin transformer for fast MRI

Jiahao Huang, Yingying Fang, Yinzhe Wu et al.

Neurocomputing

Edge U-Net: Brain tumor segmentation using MRI based on deep U-Net model with boundary information

Ahmed M. Gab Allah, Amany Sarhan, Nada M. Elshennawy

Expert Systems with Applications

R <scp>oot</scp> P <scp>ainter</scp> : deep learning segmentation of biological images with corrective annotation

Abraham George Smith, Eusun Han, Jens Petersen et al.

New Phytologist

Deep Learning for Image Enhancement and Correction in Magnetic Resonance Imaging—State-of-the-Art and Challenges

Zhaolin Chen, Kamlesh Pawar, Mevan Ekanayake et al.

Journal of Digital Imaging

Self-Supervised Learning for Few-Shot Medical Image Segmentation

Cheng Ouyang, Carlo Biffi, Chen Chen et al.

IEEE Transactions on Medical Imaging

Dense Convolutional Network and Its Application in Medical Image Analysis

Tao Zhou, Xinyu Ye, Huiling Lu et al.

BioMed Research International

Deep Learning for Instance Retrieval: A Survey

Wei Chen, Yu Liu, Weiping Wang et al.

IEEE Transactions on Pattern Analysis and Machine Intelligence

Dual-stream pyramid registration network

Miao Kang, Xiaojun Hu, Weilin Huang et al.

Medical Image Analysis

RFNet: Unsupervised Network for Mutually Reinforcing Multi-modal Image Registration and Fusion

Han Xu, Jiayi Ma, Jiteng Yuan et al.

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

AFTer-UNet: Axial Fusion Transformer UNet for Medical Image Segmentation

Xiangyi Yan, Hao Tang, Shanlin Sun et al.

2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Znet: Deep Learning Approach for 2D MRI Brain Tumor Segmentation

Mohammad Ashraf Ottom, Hanif Abdul Rahman, Ivo D. Dinov

IEEE Journal of Translational Engineering in Health and Medicine

TransDeepLab: Convolution-Free Transformer-Based DeepLab v3+ for Medical Image Segmentation

Reza Azad, Moein Heidari, Moein Shariatnia et al.

Lecture notes in computer science

Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge

Jun Ma, Yao Zhang, Song Gu et al.

Medical Image Analysis

3D AGSE-VNet: an automatic brain tumor MRI data segmentation framework

Xi Guan, Guang Yang, Jianming Ye et al.

BMC Medical Imaging

Deep learning models and traditional automated techniques for brain tumor segmentation in MRI: a review

Parvathy Jyothi, A. Robert Singh

Artificial Intelligence Review

Survey of Image Edge Detection

Rui Sun, Tao Lei, Qi Chen et al.

Frontiers in Signal Processing

Brain Tumor Detection and Classification by MRI Using Biologically Inspired Orthogonal Wavelet Transform and Deep Learning Techniques

Muhammad Arif, F. Ajesh, Shermin Shamsudheen et al.

Journal of Healthcare Engineering

Using U-Net network for efficient brain tumor segmentation in MRI images

Jason Walsh, Alice Othmani, Mayank Jain et al.

Healthcare Analytics

AGGN: Attention-based glioma grading network with multi-scale feature extraction and multi-modal information fusion

Peishu Wu, Zidong Wang, Baixun Zheng et al.

Computers in Biology and Medicine

MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model

Junde Wu, Fu, Rao, Huihui Fang et al.

arXiv (Cornell University)

Multiscale lightweight 3D segmentation algorithm with attention mechanism: Brain tumor image segmentation

Hengxin Liu, Guoqiang Huo, Qiang Li et al.

Expert Systems with Applications

Bridging 2D and 3D segmentation networks for computation-efficient volumetric medical image segmentation: An empirical study of 2.5D solutions

Yichi Zhang, Qingcheng Liao, Le Ding et al.

Computerized Medical Imaging and Graphics

Medical image segmentation with 3D convolutional neural networks: A survey

S. Niyas, S. J. Pawan, M. Anand Kumar et al.

Neurocomputing

Advantages of Using Both Voxel- and Surface-based Morphometry in Cortical Morphology Analysis: A Review of Various Applications

Masami Goto, Osamu Abe, Akifumi Hagiwara et al.

Magnetic Resonance in Medical Sciences

Half-UNet: A Simplified U-Net Architecture for Medical Image Segmentation

Haoran Lu, Yifei She, Jun Tie et al.

Frontiers in Neuroinformatics