| # | Title | Journal | Year | Citations |
|---|
| 1 | A survey on deep learning in medical image analysis | Medical Image Analysis | 2017 | 7,976 |
| 2 | A global optimisation method for robust affine registration of brain images | Medical Image Analysis | 2001 | 5,992 |
| 3 | Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain | Medical Image Analysis | 2008 | 4,092 |
| 4 | A survey of medical image registration | Medical Image Analysis | 1998 | 2,486 |
| 5 | Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation | Medical Image Analysis | 2017 | 2,382 |
| 6 | Brain tumor segmentation with Deep Neural Networks | Medical Image Analysis | 2017 | 2,234 |
| 7 | Image matching as a diffusion process: an analogy with Maxwell's demons | Medical Image Analysis | 1998 | 1,994 |
| 8 | Multi-modal volume registration by maximization of mutual information | Medical Image Analysis | 1996 | 1,706 |
| 9 | Deformable models in medical image analysis: a survey | Medical Image Analysis | 1996 | 1,560 |
| 10 | Landmark methods for forms without landmarks: morphometrics of group differences in outline shape | Medical Image Analysis | 1997 | 1,310 |
| 11 | A survey of medical image registration | Medical Image Analysis | 1998 | 1,263 |
| 12 | Statistical shape models for 3D medical image segmentation: A review | Medical Image Analysis | 2009 | 1,154 |
| 13 | Attention gated networks: Learning to leverage salient regions in medical images | Medical Image Analysis | 2019 | 1,011 |
| 14 | Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images | Medical Image Analysis | 1998 | 999 |
| 15 | Magnetic resonance elastography: Non-invasive mapping of tissue elasticity | Medical Image Analysis | 2001 | 962 |
| 16 | Generative adversarial network in medical imaging: A review | Medical Image Analysis | 2019 | 958 |
| 17 | Fractal and multifractal analysis: A review | Medical Image Analysis | 2009 | 787 |
| 18 | A review of 3D vessel lumen segmentation techniques: Models, features and extraction schemes | Medical Image Analysis | 2009 | 775 |
| 19 | Large scale deep learning for computer aided detection of mammographic lesions | Medical Image Analysis | 2017 | 728 |
| 20 | BrainSuite: An automated cortical surface identification tool | Medical Image Analysis | 2002 | 727 |
| 21 | f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks | Medical Image Analysis | 2019 | 716 |
| 22 | Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge | Medical Image Analysis | 2017 | 710 |
| 23 | Processing and visualization for diffusion tensor MRI | Medical Image Analysis | 2002 | 707 |
| 24 | Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning | Medical Image Analysis | 2020 | 696 |
| 25 | Image analysis and machine learning in digital pathology: Challenges and opportunities | Medical Image Analysis | 2016 | 670 |
| 26 | A review of segmentation methods in short axis cardiac MR images | Medical Image Analysis | 2011 | 602 |
| 27 | A review of 3D/2D registration methods for image-guided interventions | Medical Image Analysis | 2012 | 593 |
| 28 | Trainable COSFIRE filters for vessel delineation with application to retinal images | Medical Image Analysis | 2015 | 581 |
| 29 | A deep learning model integrating FCNNs and CRFs for brain tumor segmentation | Medical Image Analysis | 2018 | 568 |
| 30 | Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images | Medical Image Analysis | 2019 | 562 |
| 31 | Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis | Medical Image Analysis | 2019 | 545 |
| 32 | Gland segmentation in colon histology images: The glas challenge contest | Medical Image Analysis | 2017 | 516 |
| 33 | Multi-atlas segmentation of biomedical images: A survey | Medical Image Analysis | 2015 | 513 |
| 34 | A deep learning framework for unsupervised affine and deformable image registration | Medical Image Analysis | 2019 | 512 |
| 35 | Three-dimensional motion reconstruction and analysis of the right ventricle using tagged MRI | Medical Image Analysis | 2000 | 501 |
| 36 | A brain tumor segmentation framework based on outlier detection*1 | Medical Image Analysis | 2004 | 498 |
| 37 | Machine learning and radiology | Medical Image Analysis | 2012 | 497 |
| 38 | MIND: Modality independent neighbourhood descriptor for multi-modal deformable registration | Medical Image Analysis | 2012 | 478 |
| 39 | Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation | Medical Image Analysis | 2020 | 473 |
| 40 | A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI | Medical Image Analysis | 2016 | 471 |
| 41 | Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge | Medical Image Analysis | 2014 | 469 |
| 42 | MRI denoising using Non-Local Means | Medical Image Analysis | 2008 | 467 |
| 43 | Deformable registration of diffusion tensor MR images with explicit orientation optimization | Medical Image Analysis | 2006 | 453 |
| 44 | 3D deeply supervised network for automated segmentation of volumetric medical images | Medical Image Analysis | 2017 | 444 |
| 45 | Segmentation of anatomical structures in chest radiographs using supervised methods: a comparative study on a public database | Medical Image Analysis | 2006 | 433 |
| 46 | Demonstration of accuracy and clinical versatility of mutual information for automatic multimodality image fusion using affine and thin-plate spline warped geometric deformations | Medical Image Analysis | 1997 | 406 |
| 47 | Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer’s disease | Medical Image Analysis | 2018 | 391 |
| 48 | Segmentation of blood vessels from red-free and fluorescein retinal images | Medical Image Analysis | 2007 | 367 |
| 49 | Automated 3-D registration of MR and CT images of the head | Medical Image Analysis | 1996 | 365 |
| 50 | The Medical Imaging Interaction Toolkit | Medical Image Analysis | 2005 | 363 |
