Top Papers: Medizinische Bildsegmentierung (2024)

YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao

Lecture notes in computer science

Segment anything in medical images

Jun Ma, Yuting He, Feifei Li et al.

Nature Communications

SegMamba: Long-Range Sequential Modeling Mamba for 3D Medical Image Segmentation

Zhaohu Xing, Tian Ye, Yijun Yang et al.

Lecture notes in computer science

EMCAD: Efficient Multi-Scale Convolutional Attention Decoding for Medical Image Segmentation

Md Mostafijur Rahman, Mustafa Munir, Radu Marculescu

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UNETR++: Delving Into Efficient and Accurate 3D Medical Image Segmentation

Abdelrahman Shaker, Muhammad Maaz, Hanoona Rasheed et al.

IEEE Transactions on Medical Imaging

Channel prior convolutional attention for medical image segmentation

Hejun Huang, Zuguo Chen, Ying Zou et al.

Computers in Biology and Medicine

nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation

Fabian Isensee, Tassilo Wald, Constantin Ulrich et al.

Lecture notes in computer science

U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

Jun Ma, Li Fei-Fei, Bo Wang

arXiv (Cornell University)

VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Jiacheng Ruan, Suncheng Xiang, Xiang, Suncheng

arXiv (Cornell University)

Advances in Medical Image Segmentation: A Comprehensive Review of Traditional, Deep Learning and Hybrid Approaches

Yan Xu, Rixiang Quan, Weiting Xu et al.

Bioengineering

Image Data Augmentation Approaches: A Comprehensive Survey and Future Directions

Teerath Kumar, Rob Brennan, Alessandra Mileo et al.

IEEE Access

Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation

Reza Azad, Leon Niggemeier, Michael Hüttemann et al.

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Omni-Kernel Network for Image Restoration

Yuning Cui, Wenqi Ren, Alois Knoll

Proceedings of the AAAI Conference on Artificial Intelligence

Deep semi-supervised learning for medical image segmentation: A review

Kai Han, Victor S. Sheng, Yuqing Song et al.

Expert Systems with Applications

Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications

Yuwen Xiong, Zhiqi Li, Yuntao Chen et al.

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MA-SAM: Modality-agnostic SAM adaptation for 3D medical image segmentation

Cheng Chen, Juzheng Miao, Dufan Wu et al.

Medical Image Analysis

Brain tumor segmentation in MRI with multi-modality spatial information enhancement and boundary shape correction

Zhiqin Zhu, Ziyu Wang, Guanqiu Qi et al.

Pattern Recognition

Sparse Dynamic Volume TransUNet with multi-level edge fusion for brain tumor segmentation

Zhiqin Zhu, Mengwei Sun, Guanqiu Qi et al.

Computers in Biology and Medicine

Automated Brain Tumor Segmentation and Classification in MRI Using YOLO-Based Deep Learning

Maram Fahaad Almufareh, Muhammad Imran, Abdullah Khan et al.

IEEE Access

Equivariant Multi-Modality Image Fusion

Zixiang Zhao, Haowen Bai, Jiangshe Zhang et al.

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Rethinking FID: Towards a Better Evaluation Metric for Image Generation

Sadeep Jayasumana, Srikumar Ramalingam, Andreas Veit et al.

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A novel CNN architecture for accurate early detection and classification of Alzheimer’s disease using MRI data

A. M. El-Assy, Hanan M. Amer, Hegazi Ibrahim et al.

Scientific Reports

VM-UNET-V2: Rethinking Vision Mamba UNet for Medical Image Segmentation

Mingya Zhang, Yue Yu, Jin Sun et al.

Lecture notes in computer science

AnyDoor: Zero-shot Object-level Image Customization

Xi Chen, Lianghua Huang, Liu Yu et al.

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CMUNEXT: An Efficient Medical Image Segmentation Network Based on Large Kernel and Skip Fusion

Fenghe Tang, Jianrui Ding, Quan Quan et al.

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Data-efficient Fine-tuning for LLM-based Recommendation

Xinyu Lin, Wenjie Wang, Yongqi Li et al.

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Dual-3DM³AD: Mixed Transformer Based Semantic Segmentation and Triplet Pre-Processing for Early Multi-Class Alzheimer’s Diagnosis

Arfat Ahmad Khan, Rakesh Kumar Mahendran, Kumar Perumal et al.

IEEE Transactions on Neural Systems and Rehabilitation Engineering

I<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si18.svg" display="inline" id="d1e3125"><mml:msup><mml:mrow/><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msup></mml:math>U-Net: A dual-path U-Net with rich information interaction for medical image segmentation

Duwei Dai, Caixia Dong, Qingsen Yan et al.

Medical Image Analysis

A survey on deep learning in medical image registration: New technologies, uncertainty, evaluation metrics, and beyond

Junyu Chen, Yihao Liu, Shuwen Wei et al.

Medical Image Analysis

G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation

Md Mostafijur Rahman, Radu Mărculescu

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Recursive Deformable Pyramid Network for Unsupervised Medical Image Registration

Haiqiao Wang, Dong Ni, Yi Wang

IEEE Transactions on Medical Imaging

MONAI Label: A framework for AI-assisted interactive labeling of 3D medical images

Andres Diaz‐Pinto, Sachidanand Alle, Vishwesh Nath et al.

Medical Image Analysis

SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation

Shehan Perera, Pouyan Navard, Alper Yılmaz

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LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image Segmentation

Jinhong Wang, Jintai Chen, Danny Z. Chen et al.

Lecture notes in computer science

Digital Image Processing

Sunil Narumalani, Paul Merani

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Boundary-enhanced dual-stream network for semantic segmentation of high-resolution remote sensing images

Xinghua Li, Linglin Xie, Cai‐Feng Wang et al.

GIScience & Remote Sensing

Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation

Ziyang Wang, Jian-Qing Zheng, Yichi Zhang et al.

arXiv (Cornell University)

Semi-Mamba-UNet: Pixel-level contrastive and cross-supervised visual Mamba-based UNet for semi-supervised medical image segmentation

Chao Ma, Ziyang Wang

Knowledge-Based Systems

SurgicalSAM: Efficient Class Promptable Surgical Instrument Segmentation

Wenxi Yue, Jing Zhang, Kun Hu et al.

Proceedings of the AAAI Conference on Artificial Intelligence

MAGRes-UNet: Improved Medical Image Segmentation Through a Deep Learning Paradigm of Multi-Attention Gated Residual U-Net

Tahir Hussain, Hayaru Shouno

IEEE Access

A Comprehensive Survey of Multi-Level Thresholding Segmentation Methods for Image Processing

Mohammad Amiriebrahimabadi, Zhina Rouhi, Najme Mansouri

Archives of Computational Methods in Engineering

3DUV-NetR+: A 3D hybrid semantic architecture using transformers for brain tumor segmentation with MultiModal MR images

Ilyasse Aboussaleh, Jamal Riffi, Khalid El Fazazy et al.

Results in Engineering

TUMTraf V2X Cooperative Perception Dataset

Walter Zimmer, Gerhard Arya Wardana, Suren Sritharan et al.

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ESKNet: An enhanced adaptive selection kernel convolution for ultrasound breast tumors segmentation

Gongping Chen, Lu Zhou, Jianxun Zhang et al.

Expert Systems with Applications

Modality-Agnostic Domain Generalizable Medical Image Segmentation by Multi-Frequency in Multi-Scale Attention

Ju-Hyeon Nam, Nur Suriza Syazwany, Su Jung Kim et al.

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USFM: A universal ultrasound foundation model generalized to tasks and organs towards label efficient image analysis

Jing Jiao, Jin Zhou, Xiaokang Li et al.

Medical Image Analysis

Mine yOur owN Anatomy: Revisiting Medical Image Segmentation With Extremely Limited Labels

Chenyu You, Weicheng Dai, Fenglin Liu et al.

IEEE Transactions on Pattern Analysis and Machine Intelligence

Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation

Hanyang Chi, Jian Pang, Bingfeng Zhang et al.

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Alzheimer’s disease unveiled: Cutting-edge multi-modal neuroimaging and computational methods for enhanced diagnosis

Tariq Mahmood, Amjad Rehman, Tanzila Saba et al.

Biomedical Signal Processing and Control

FATFusion: A functional–anatomical transformer for medical image fusion

Wei Tang, Fazhi He

Information Processing & Management