Medical Image Analysis provides a forum for the dissemination of new research results in the field of medical and biological image analysis, with special emphasis on efforts related to the applications of computer vision, virtual reality and robotics to biomedical imaging problems. The journal publishes the highest quality, original papers that contribute to the basic science of processing, analysing and utilizing medical and biological images for these purposes. The journal is interested in approaches that utilize biomedical image datasets at all spatial scales, ranging from molecular/cellular imaging to tissue/organ imaging.
医学图像分析提供了一个论坛，传播医学和生物图像分析领域的新研究成果，特别强调与计算机视觉、虚拟现实和机器人技术应用于生物医学成像问题有关的努力。该杂志发表最高质量的原创论文，有助于处理、分析和利用医学和生物图像的基础科学。该杂志对利用生物医学图像数据集的所有空间尺度的方法感兴趣，从分子/细胞成像到组织/器官成像。
Automated segmentation of knee bone and cartilage combining statistical shape knowledge and convolutional neural networks: Data from the Osteoarthritis Initiative
来源期刊：Medical Image AnalysisDOI：10.1016/j.media.2018.11.009
Predicting breast tumor proliferation from whole‐slide images: The TUPAC16 challenge
来源期刊：Medical Image AnalysisDOI：10.1016/j.media.2019.02.012
Boundary loss for highly unbalanced segmentation
来源期刊：Medical image analysisDOI：10.1016/j.media.2020.101851
MILD‐Net: Minimal information loss dilated network for gland instance segmentation in colon histology images
来源期刊：Medical Image AnalysisDOI：10.1016/j.media.2018.12.001
Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images
来源期刊：Medical image analysisDOI：10.1016/j.media.2019.101563
DeepPET: A deep encoder–decoder network for directly solving the PET image reconstruction inverse problem
来源期刊：Medical Image AnalysisDOI：10.1016/j.media.2019.03.013
Medical image classification using synergic deep learning
来源期刊：Medical Image AnalysisDOI：10.1016/j.media.2019.02.010
Iterative fully convolutional neural networks for automatic vertebra segmentation and identification
来源期刊：Medical Image AnalysisDOI：10.1016/j.media.2019.02.005
Evaluating reinforcement learning agents for anatomical landmark detection
来源期刊：Medical Image AnalysisDOI：10.1016/j.media.2019.02.007
Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge
来源期刊：Medical Image AnalysisDOI：10.1016/j.media.2019.101537
Self-supervised learning for medical image analysis using image context restoration
来源期刊：Medical image analysisDOI：10.1016/j.media.2019.101539
Micro‐Net: A unified model for segmentation of various objects in microscopy images
来源期刊：Medical Image AnalysisDOI：10.1016/j.media.2018.12.003
Integrating spatial configuration into heatmap regression based CNNs for landmark localization
来源期刊：Medical Image AnalysisDOI：10.1016/j.media.2019.03.007
Improvement of fully automated airway segmentation on volumetric computed tomographic images using a 2.5 dimensional convolutional neural net☆
来源期刊：Medical Image AnalysisDOI：10.1016/j.media.2018.10.006
RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification
来源期刊：Medical image analysisDOI：10.1016/j.media.2019.101549
Combined tract segmentation and orientation mapping for bundle-specific tractography
来源期刊：Medical image analysisDOI：10.1016/j.media.2019.101559
Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy
来源期刊：Medical Image AnalysisDOI：10.1016/j.media.2019.01.011
Breast pectoral muscle segmentation in mammograms using a modified holistically-nested edge detection network
来源期刊：Medical image analysisDOI：10.1016/j.media.2019.06.007
Denoising of 3D magnetic resonance images using a residual encoder-decoder Wasserstein generative adversarial network
来源期刊：Medical image analysisDOI：10.1016/J.MEDIA.2019.05.001
Segmentation and classification in MRI and US fetal imaging: Recent trends and future prospects☆
来源期刊：Medical Image AnalysisDOI：10.1016/j.media.2018.10.003
Deep Evolutionary Networks with Expedited Genetic Algorithms for Medical Image Denoising
来源期刊：Medical Image AnalysisDOI：10.1016/j.media.2019.03.004
Learning to detect lymphocytes in immunohistochemistry with deep learning
来源期刊：Medical image analysisDOI：10.1016/j.media.2019.101547
Automatic segmentation of prostate MRI using convolutional neural networks: Investigating the impact of network architecture on the accuracy of volume measurement and MRI-ultrasound registration
来源期刊：Medical image analysisDOI：10.1016/j.media.2019.101558
Automated detection and classification of thyroid nodules in ultrasound images using clinical-knowledge-guided convolutional neural networks
来源期刊：Medical image analysisDOI：10.1016/j.media.2019.101555
Graph Convolutions on Spectral Embeddings for Cortical Surface Parcellation
来源期刊：Medical Image AnalysisDOI：10.1016/j.media.2019.03.012
Fully automatic 3D reconstruction of the placenta and its peripheral vasculature in intrauterine fetal MRI
来源期刊：Medical Image AnalysisDOI：10.1016/j.media.2019.03.008
Automatic graph‐based method for localization of cochlear implant electrode arrays in clinical CT with sub‐voxel accuracy
来源期刊：Medical Image AnalysisDOI：10.1016/j.media.2018.11.005
Computer-aided detection and visualization of pulmonary embolism using a novel, compact, and discriminative image representation
来源期刊：Medical image analysisDOI：10.1016/j.media.2019.101541
Population shrinkage of covariance (PoSCE) for better individual brain functional‐connectivity estimation☆
来源期刊：Medical Image AnalysisDOI：10.1016/j.media.2019.03.001
Factorised Representation Learning in Cardiac Image Analysis
来源期刊：Medical image analysisDOI：10.1016/j.media.2019.101535
A modality‐adaptive method for segmenting brain tumors and organs‐at‐risk in radiation therapy planning
来源期刊：Medical Image AnalysisDOI：10.1016/j.media.2019.03.005
AAR‐RT – A system for auto‐contouring organs at risk on CT images for radiation therapy planning: Principles, design, and large‐scale evaluation on head‐and‐neck and thoracic cancer cases
来源期刊：Medical Image AnalysisDOI：10.1016/j.media.2019.01.008
Removing segmentation inconsistencies with semi-supervised non-adjacency constraint
来源期刊：Medical image analysisDOI：10.1016/j.media.2019.101551
Motion artifact recognition and quantification in coronary CT angiography using convolutional neural networks
来源期刊：Medical Image AnalysisDOI：10.1016/j.media.2018.11.003
Disease quantification on PET/CT images without explicit object delineation
来源期刊：Medical Image AnalysisDOI：10.1016/j.media.2018.11.002
Hierarchical spherical deformation for cortical surface registration
来源期刊：Medical image analysisDOI：10.1016/j.media.2019.06.013
Repetitive motion compensation for real time intraoperative video processing
来源期刊：Medical Image AnalysisDOI：10.1016/j.media.2018.12.005
An algorithm for learning shape and appearance models without annotations
来源期刊：Medical Image AnalysisDOI：10.1016/j.media.2019.04.008
Discovering hierarchical common brain networks via multimodal deep belief network
来源期刊：Medical Image AnalysisDOI：10.1016/j.media.2019.03.011
Globally optimal segmentation of cell nuclei in fluorescence microscopy images using shape and intensity information
来源期刊：Medical image analysisDOI：10.1016/j.media.2019.101536
Predicting PET-derived demyelination from multimodal MRI using sketcher-refiner adversarial training for multiple sclerosis
来源期刊：Medical image analysisDOI：10.1016/J.MEDIA.2019.101546
Automatic detection and diagnosis of sacroiliitis in CT scans as incidental findings
来源期刊：Medical image analysisDOI：10.1016/j.media.2019.07.007
Optimal surface segmentation with convex priors in irregularly sampled space
来源期刊：Medical Image AnalysisDOI：10.1016/j.media.2019.02.004
Estimating uncertainty in MRF-based image segmentation: A perfect-MCMC approach
来源期刊：Medical image analysisDOI：10.1016/j.media.2019.04.014
Patch-based adaptive weighting with segmentation and scale (PAWSS) for visual tracking in surgical video
来源期刊：Medical Image AnalysisDOI：10.1016/j.media.2019.07.002
Robust motion correction for cardiac T1 and ECV mapping using a T1 relaxation model approach
来源期刊：Medical Image AnalysisDOI：10.1016/j.media.2018.12.004
Exploiting structural redundancy in q‐space for improved EAP reconstruction from highly undersampled (k, q)‐space in DMRI☆
来源期刊：Medical Image AnalysisDOI：10.1016/j.media.2019.02.014
Surface-constrained volumetric registration for the early developing brain
来源期刊：Medical image analysisDOI：10.1016/j.media.2019.101540
Multiple‐correlation similarity for block‐matching based fast CT to ultrasound registration in liver interventions
来源期刊：Medical Image AnalysisDOI：10.1016/j.media.2019.02.003
Bayesian bacterial detection using irregularly sampled optical endomicroscopy images
来源期刊：Medical image analysisDOI：10.1016/j.media.2019.06.009
