Top Papers: Medizinische Bildsegmentierung (2025)

Die 50 meistzitierten Arbeiten zu Medizinische Bildsegmentierung aus dem Jahr 2025 (von 3.082 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.

2023 2024 2025 2026

#	Paper	Zitationen
1	associated_data_Investigating the Effectiveness of clDice Loss for Road Crack Segmentation Pereira, Vosco arXiv (Cornell University)	409
2	VM-UNet: Vision Mamba UNet for Medical Image Segmentation Jiacheng Ruan, Jincheng Li, Suncheng Xiang ACM Transactions on Multimedia Computing Communications and Applications	339
3	Medical SAM adapter: Adapting segment anything model for medical image segmentation Junde Wu, Ziyue Wang, Mingxuan Hong et al. Medical Image Analysis	301
4	VmambaIR: Visual State Space Model for Image Restoration Yuan Shi, Bin Xia, Xiaoyu Jin et al. IEEE Transactions on Circuits and Systems for Video Technology	119
5	RT-DETRv3: Real-Time End-to-End Object Detection with Hierarchical Dense Positive Supervision Shuo Wang, Chunlong Xia, Feng Lv et al. —	74
6	TotalSegmentator MRI: Robust Sequence-independent Segmentation of Multiple Anatomic Structures in MRI Tugba Akinci D’Antonoli, Lucas K. Berger, Ashraya Kumar Indrakanti et al. Radiology	73
7	Medical Image Segmentation: A Comprehensive Review of Deep Learning-Based Methods Yuxiao Gao, Yang Jiang, Yanhong Peng et al. Tomography	71
8	SAM-Med3D: Towards General-Purpose Segmentation Models for Volumetric Medical Images Haoyu Wang, Sizheng Guo, Ye Jin et al. Lecture notes in computer science	66
9	A regularized transformer with adaptive token fusion for Alzheimer's disease diagnosis in brain magnetic resonance images Siyuan Lu, Yudong Zhang, Yudong Yao Engineering Applications of Artificial Intelligence	62
10	Diffusion Models in Low-Level Vision: A Survey Chunming He, Yuqi Shen, Chengyu Fang et al. IEEE Transactions on Pattern Analysis and Machine Intelligence	57
11	Towards generalist foundation model for radiology by leveraging web-scale 2D&3D medical data Chaoyi Wu, Xiaoman Zhang, Ya Zhang et al. Nature Communications	55
12	Deep Learning-Based MRI Brain Tumor Segmentation With EfficientNet-Enhanced UNet Pradeep Kumar Tiwary, Prashant Johri, Alok Katiyar et al. IEEE Access	55
13	A dual-branch network for ultrasound image segmentation Zhiqin Zhu, Zimeng Zhang, Guanqiu Qi et al. Biomedical Signal Processing and Control	55
14	Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image Generation Hongxu Jiang, Muhammad Imran, Teng Zhang et al. IEEE Journal of Biomedical and Health Informatics	50
15	U-Net-Based Models for Precise Brain Stroke Segmentation Suat İnce, İsmail KUNDURACIOĞLU, Bilal Bayram et al. Chaos Theory and Applications	50
16	Asymmetric Adaptive Heterogeneous Network for Multi-Modality Medical Image Segmentation Shenhai Zheng, Xin Ye, Chaohui Yang et al. IEEE Transactions on Medical Imaging	48
17	Brain tumor segmentation using multi-scale attention U-Net with EfficientNetB4 encoder for enhanced MRI analysis R. Preetha, Jasmine Pemeena Priyadarsini M, J. S. Nisha Scientific Reports	48
18	Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging Ruining Deng, Can Cui, Quan Liu et al. Electronic Imaging	44
19	VcaNet: Vision Transformer with fusion channel and spatial attention module for 3D brain tumor segmentation Dichao Pan, Jianguo Shen, Zaid Al‐Huda et al. Computers in Biology and Medicine	43
20	An improved feature extraction algorithm for robust Swin Transformer model in high-dimensional medical image analysis Anuj Kumar, Anuj Kumar, Satya Prakash Yadav et al. Computers in Biology and Medicine	42
21	ConDSeg: A General Medical Image Segmentation Framework via Contrast-Driven Feature Enhancement Mengqi Lei, Haochen Wu, Xinhua Lv et al. Proceedings of the AAAI Conference on Artificial Intelligence	42
22	Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation Qingjie Zeng, Yutong Xie, Zilin Lu et al. IEEE Transactions on Medical Imaging	41
23	Automated multi-class MRI brain tumor classification and segmentation using deformable attention and saliency mapping Erfan Zarenia, Aïcha Beya Far, Khosro Rezaee Scientific Reports	40
24	D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image Segmentation Jin Yang, Peijie Qiu, Yichi Zhang et al. SSRN Electronic Journal	40
25	A novel unified Inception-U-Net hybrid gravitational optimization model (UIGO) incorporating automated medical image segmentation and feature selection for liver tumor detection Tathagat Banerjee, Davinder Paul Singh, Prabhjot Kour et al. Scientific Reports	40
26	MambaHSISR: Mamba Hyperspectral Image Super-Resolution Yinghao Xu, Hao Wang, Fei Zhou et al. IEEE Transactions on Geoscience and Remote Sensing	39
27	Advances in attention mechanisms for medical image segmentation Jianpeng Zhang, Xiaomin Chen, Bing Yang et al. Computer Science Review	39
28	New cognitive computational strategy for optimizing brain tumour classification using magnetic resonance imaging Data R. Kishore Kanna, Ayodeji Olalekan Salau Intelligence-Based Medicine	38
29	Similarity and quality metrics for MR image-to-image translation Melanie Dohmen, Mark Klemens, Ivo M. Baltruschat et al. Scientific Reports	37
30	Merging Context Clustering With Visual State Space Models for Medical Image Segmentation Yun Zhu, Dong Zhang, Yi Lin et al. IEEE Transactions on Medical Imaging	36
31	Multi-scale convolutional attention frequency-enhanced transformer network for medical image segmentation Shun Yan, Benquan Yang, Aihua Chen et al. Information Fusion	35
32	PICK: Predict and Mask for Semi-supervised Medical Image Segmentation Qingjie Zeng, Zilin Lu, Yutong Xie et al. International Journal of Computer Vision	35
33	FoundationStereo: Zero-Shot Stereo Matching Bowen Wen, Matthew Trepte, J. Aribido et al. —	34
34	LW-CTrans: A lightweight hybrid network of CNN and Transformer for 3D medical image segmentation Hulin Kuang, Yahui Wang, Xianzhen Tan et al. Medical Image Analysis	33
35	A Comprehensive Review of U‐Net and Its Variants: Advances and Applications in Medical Image Segmentation Jiangtao Wang, Nur Intan Raihana Ruhaiyem, Fu Panpan IET Image Processing	33
36	VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging Yufan He, Pengfei Guo, Yucheng Tang et al. —	33
37	Serp-Mamba: Advancing High-Resolution Retinal Vessel Segmentation With Selective State-Space Model Hongqiu Wang, Yixian Chen, Chen Wu et al. IEEE Transactions on Medical Imaging	32
38	Brain tumor diagnosis redefined: Leveraging image fusion for MRI enhancement classification Arash Hekmat, Zuping Zhang, Saif Ur Rehman Khan et al. Biomedical Signal Processing and Control	31
39	CNN-TM-GAN: hybrid deep learning framework to enhance segmentation accuracy of bio-medical images Setu Garg, Kimmi Verma, A. Ambikapathy International Journal of Information Technology	30
40	Iterative pseudo-labeling based adaptive copy-paste supervision for semi-supervised tumor segmentation Qiangguo Jin, Hui Cui, Junbo Wang et al. Knowledge-Based Systems	30
41	Multi-modal hypergraph contrastive learning for medical image segmentation Weipeng Jing, Junze Wang, Donglin Di et al. Pattern Recognition	30
42	MMR-Mamba: Multi-modal MRI reconstruction with Mamba and spatial-frequency information fusion Jing Zou, Lanqing Liu, Qi Chen et al. Medical Image Analysis	30
43	Intelligent computational ensemble model for predicting cerebral aneurysm using the concept of region localization in multi-section CT angiography Zabiha Khan, R. Kishore Kanna, K. Parthasarathy et al. International Journal of Information Technology	29
44	AutoFuse: Automatic fusion networks for deformable medical image registration Mingyuan Meng, Michael Fulham, Dagan Feng et al. Pattern Recognition	28
45	Advancing paleontology: a survey on deep learning methodologies in fossil image analysis Mohammed Yaqoob, Mohammed Ishaq Mohammed, Mohammed Yusuf Ansari et al. Artificial Intelligence Review	28
46	Dilated SE-DenseNet for brain tumor MRI classification Yu M, Jiwook Kim, Lena Podina et al. Scientific Reports	27
47	Advancements in medical image segmentation: A review of transformer models S. S. Kumar Computers & Electrical Engineering	27
48	MCANet: Medical Image Segmentation with Multi-scale Cross-axis Attention Hao Shao, Quansheng Zeng, Qibin Hou et al. Machine Intelligence Research	27
49	Integrating dynamic evolutionary fuzzy multilevel thresholding with differential evolution for enhanced precision in complex image segmentation tasks P. Muthukumaraswamy, R. Krishnamoorthy Neural Computing and Applications	26
50	SDR-Former: A Siamese Dual-Resolution Transformer for liver lesion classification using 3D multi-phase imaging Meng Lou, Hanning Ying, Xiaoqing Liu et al. Neural Networks	26

Top Papers: Medizinische Bildsegmentierung (2025)

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