Top Papers: Medizinische Bildsegmentierung (2026)

Die 44 meistzitierten Arbeiten zu Medizinische Bildsegmentierung aus dem Jahr 2026 (von 44 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.

2024 2025 2026

#	Paper	Zitationen
1	MedAugment: Universal automatic data augmentation plug-in for medical image analysis Zhaoshan Liu, Qiujie Lv, Yifan Li et al. Knowledge-Based Systems	13
2	Alzheimer’s disease brain image segmentation using multi-feature fusion in 3D Rényi entropy model and quantum hybrid optimization Mingyang Yu, Jiaqi Zhang, Lu Yu et al. Artificial Intelligence Review	5
3	One-Stage Attention-Centric Instance Segmentation Framework for Gastrointestinal Disease Localization in Endoscopic Images Francis Joseph G. Libres, Hanz Ian B. Silva, Angel Michael A. Lu et al. —	5
4	A Review of Pseudo-Labeling for Computer Vision Patrick Kage, Jay C. Rothenberger, Pavlos Andreadis et al. Journal of Artificial Intelligence Research	4
5	Geometric multi-instance learning for weakly supervised gastric cancer segmentation Chenshen Huang, Haoyun Xia, Xi Xiao et al. npj Digital Medicine	2
6	Frequency domain iterative clustering for boundary-preserving superpixel segmentation Junbin Zhuang, Kun Wang, Zhe Yuan et al. Applied Soft Computing	2
7	Enhancing efficiency in pediatric brain tumor segmentation using a pathologically diverse single-center clinical dataset Arianna Piffer, Josef Alois Buchner, Antonio Giulio Gennari et al. Neuro-Oncology Advances	2
8	Automated long axial field of view PET image processing and kinetic modelling with the TurBO toolbox Jouni Tuisku, Santeri Palonen, Henri Kärpijoki et al. European Journal of Nuclear Medicine and Molecular Imaging	2
9	Segmentation of objects in images using physical principles Patrícia C. T. Gonçalves, João Manuel R. S. Tavares, Renato Natal Jorge —	2
10	Brain tumor segmentation and classification: A CVAE-UNETR-ResNet50-VGG16 hybrid deep learning approach Wessam M. Salama, Moustafa Aly Alexandria Engineering Journal	2
11	A 3D Cross-modal Keypoint Descriptor for MR-US Matching and Registration Д. А. Морозов, Reuben Dorent, Nazim Haouchine IEEE Transactions on Medical Imaging	1
12	DATR: Diffusion-Based 3D Apple Tree Reconstruction Framework With Sparse-View Tian Qiu, Alan Zoubi, Yiyuan Lin et al. IEEE Robotics and Automation Letters	1
13	Dynamic Swin-UNet: a transformer-based adaptive framework for precise and efficient Alzheimer’s disease brain segmentation Marwa Ben Gara Ali, Abir Smiti Multimedia Tools and Applications	1
14	Diff4MMLiTS: Advanced Multimodal Liver Tumor Segmentation via Diffusion-Based Image Synthesis and Alignment Shiyun Chen, Li Lin, Pujin Cheng et al. Lecture notes in computer science	1
15	AutoPromptSeg: Automated Decoupling of Uncertainty Prompts with SAM for semi-supervised medical image segmentation Junan Zhu, Zhizhe Tang, Ma Ping et al. Computerized Medical Imaging and Graphics	1
16	DuoViT-AD: A dual-scale vision transformer for Alzheimer’s disease detection from brain MRI Sana Trigui, Hala Bezine Pattern Recognition Letters	1
17	Inflationary attractors and radiative corrections in light of ACT data W. Wolf Journal of Cosmology and Astroparticle Physics	1
18	Leveraging image transformation and optical flow for heterogeneous change detection under co-registration errors Yuli Sun, Lin Lei, Gangyao Kuang Gangyao Kuang Pattern Recognition	1
19	Efficient breast cancer segmentation via Brownian Bridge diffusion with semantic fusion strategy Feiyan Feng, Tianyu Liu, Fulin Zheng et al. Pattern Recognition	1
20	NucVerse3D: Generalizable 3D nuclear instance segmentation across heterogeneous microscopy modalities Jorge Vergara, Cristian Pérez-Gallardo, Ricardo Velasco et al. bioRxiv (Cold Spring Harbor Laboratory)	1
21	Artificial Intelligence-Assisted Image Segmentation in Scratch Wound Healing Assays Using Threshold and Level Set Methods Viviana Benfante, Muhammad Ali, Farhan Hai Khan et al. Lecture notes in computer science	1
22	Anatomy-Guided Semi-Supervised Registration with Combined Rigid and Label Supervision for Improved Rib Deformation Consistency Lukas Förner, Thomas Wendler Lecture notes in computer science	1
23	Single pass Poisson disk sampling via circle packing Jun Cui, Zeyu Li, Yuxiao Li et al. Computers & Graphics	1
24	Method and Algorithms for Computing Fuzzy Fréchet and Hausdorff Distance Mykhailo Zarichnyi, O. M. Berezsky, Mykola Berezkyi et al. Mathematics	1
25	PET Image Reconstruction Using Deep Diffusion Image Prior Fumio Hashimoto, Kuang Gong IEEE Transactions on Medical Imaging	1
26	3D Medical Image Segmentation with 3D Modelling Mária Ždímalová, Kristína Boratková, Sitár Viliam et al. Bioengineering	1
27	Dilated Balanced cross entropy loss for medical image segmentation Seyed Mohsen Hosseini, Mahdieh Soleymani Baghshah BMC Medical Imaging	1
28	Lifting wavelet transform-guided network with histogram attention for liver segmentation in CT scans Huaxiang Liu, Wei Sun, Youyao Fu et al. Information Fusion	1
29	Prioritized scanning: Combining spatial information multiple instance learning for computational pathology Yuqi Zhang, Jiakai Wang, Baoyu Liang et al. Pattern Recognition	1
30	Learning deformable image registration with dilated attention transformer Yungeng Zhang, yuan chang, Xiaohou Shi et al. Knowledge-Based Systems	1
31	MoMIL: Multi-order enhanced multiple instance learning for computational pathology Yuqi Zhang, Xiaoqian Zhang, Jiakai Wang et al. Image and Vision Computing	1
32	Hierarchical feature-guided dynamic collaborative learning transformer model for ventricular septal defect identification Cheng Zhao, MD Weiling Chen, Peng Yang et al. Neurocomputing	1
33	WGGM-SC: robust two-stage point set registration fusing weighted generalized Gaussian mixtures and structural consistency Sen Li, Fuquan Ren, Mingjing Yang Information Sciences	1
34	UDV-Net: A hybrid CNN and transformer vein segmentation network with vascular prior and spatial awareness Bowei Shen, Xiaoquan Huang, Yuli Li et al. Medical Image Analysis	1
35	Shuffle Mamba: State Space Models with Random Shuffle for Multi-Modal Image Fusion Ke Cao, Xuanhua He, Tao Hu et al. IEEE Transactions on Circuits and Systems for Video Technology	1
36	ResAtt-NASFPN: A Residual Attention Driven NAS-FPN Framework for Robust 3D Brain Tumor Segmentation Ronak R Patel, Miral Patel, Deep Kothadiya Journal of Innovative Image Processing	1
37	Brain tumor classification model guided by class activation mapping Yuqi Ma, Wang Zhang, Yaoyao Feng et al. Computerized Medical Imaging and Graphics	1
38	EfficientNet-based multi-scale feature fusion with hybrid spatial-channel attention for precise liver and tumor segmentation in CT scans Javed Hossain Journal of Liver Transplantation	1
39	GBA-NET: A gated bottleneck and attention-driven architecture for robust ischemic stroke segmentation across CT and DWI (pp.52-78) Applied and Computational Mathematics	1
40	MFBRU-Net: Multi-scale feature fusion and boundary refining U-Net for medical image segmentation Han Gao, Xianran Zhang, Zhengpeng Li et al. Biomedical Signal Processing and Control	1
41	deepmriprep: voxel-based morphometry preprocessing via deep neural networks L. Fisch, Nils Ralf Winter, Janik Goltermann et al. Nature Computational Science	1
42	Segment Anything Model 2: An Application to 2D and 3D Medical Images Haoyu Dong, Hanxue Gu, Yaqian Chen et al. IEEE Transactions on Biomedical Engineering	1
43	Point2SSM++: Self-supervised learning of anatomical shape models from point clouds Jadie Adams, Shireen Elhabian, Shireen Elhabian Medical Image Analysis	1
44	EPSO-net: A multi-objective evolutionary neural architecture search with PSO-guided mutation fusion for explainable brain tumor segmentation Farhana Yasmin, Yu Xue, Mahade Hasan et al. Information Fusion	1

Top Papers: Medizinische Bildsegmentierung (2026)

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