Computerized Medical Imaging and Graphics

Papers
(The TQCC of Computerized Medical Imaging and Graphics is 11. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation254
Role of deep learning in brain tumor detection and classification (2015 to 2020): A review130
Automated multi-class classification of skin lesions through deep convolutional neural network with dermoscopic images116
An Integration of blockchain and AI for secure data sharing and detection of CT images for the hospitals102
MS-UNet: A multi-scale UNet with feature recalibration approach for automatic liver and tumor segmentation in CT images92
Deep Multi-Magnification Networks for multi-class breast cancer image segmentation76
CT synthesis from MRI using multi-cycle GAN for head-and-neck radiation therapy75
FA-GAN: Fused attentive generative adversarial networks for MRI image super-resolution72
A deep learning approach to the screening of malaria infection: Automated and rapid cell counting, object detection and instance segmentation using Mask R-CNN59
Fast and efficient retinal blood vessel segmentation method based on deep learning network59
On the performance of lung nodule detection, segmentation and classification56
A survey on graph-based deep learning for computational histopathology54
DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays54
Histopathology classification and localization of colorectal cancer using global labels by weakly supervised deep learning52
Automatic cardiac cine MRI segmentation and heart disease classification51
Deep transfer learning approaches for bleeding detection in endoscopy images50
Classification of malignant tumors in breast ultrasound using a pretrained deep residual network model and support vector machine48
Automated MRI based pipeline for segmentation and prediction of grade, IDH mutation and 1p19q co-deletion in glioma45
LGAN: Lung segmentation in CT scans using generative adversarial network44
Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic44
CT synthesis from MR in the pelvic area using Residual Transformer Conditional GAN42
Bridging 2D and 3D segmentation networks for computation-efficient volumetric medical image segmentation: An empirical study of 2.5D solutions40
MSDS-UNet: A multi-scale deeply supervised 3D U-Net for automatic segmentation of lung tumor in CT39
Automatic segmentation of white matter hyperintensities from brain magnetic resonance images in the era of deep learning and big data – A systematic review38
Learning-based algorithms for vessel tracking: A review36
Memory-efficient GAN-based domain translation of high resolution 3D medical images36
An imageomics and multi-network based deep learning model for risk assessment of liver transplantation for hepatocellular cancer35
WeGleNet: A weakly-supervised convolutional neural network for the semantic segmentation of Gleason grades in prostate histology images35
Hemorrhagic stroke lesion segmentation using a 3D U-Net with squeeze-and-excitation blocks33
Weakly supervised deep learning for prediction of treatment effectiveness on ovarian cancer from histopathology images31
Towards radiologist-level cancer risk assessment in CT lung screening using deep learning30
Artificial intelligence (AI) impacting diagnosis of glaucoma and understanding the regulatory aspects of AI-based software as medical device30
Automated segmentation of normal and diseased coronary arteries – The ASOCA challenge30
An end-to-end breast tumour classification model using context-based patch modelling – A BiLSTM approach for image classification30
Fusion based on attention mechanism and context constraint for multi-modal brain tumor segmentation29
Non-convex primal-dual algorithm for image reconstruction in spectral CT28
Stenosis-DetNet: Sequence consistency-based stenosis detection for X-ray coronary angiography28
Deep learning based automatic diagnosis of first-episode psychosis, bipolar disorder and healthy controls28
Automated assessment of glomerulosclerosis and tubular atrophy using deep learning27
Efficient deep learning architecture with dimension-wise pyramid pooling for nuclei segmentation of histopathology images27
Analyzing magnetic resonance imaging data from glioma patients using deep learning27
A predictive framework based on brain volume trajectories enabling early detection of Alzheimer's disease26
Retracted: An easy-to-use deep-learning model for highly accurate diagnosis of Parkinson's disease using SPECT images25
The optimisation of deep neural networks for segmenting multiple knee joint tissues from MRIs25
A contrastive consistency semi-supervised left atrium segmentation model24
A multiparametric MRI-based CAD system for accurate diagnosis of bladder cancer staging24
Retinex model based stain normalization technique for whole slide image analysis24
Machine learning techniques for mitoses classification23
DiSegNet: A deep dilated convolutional encoder-decoder architecture for lymph node segmentation on PET/CT images23
Deep contrastive learning based tissue clustering for annotation-free histopathology image analysis22
ImageCAS: A large-scale dataset and benchmark for coronary artery segmentation based on computed tomography angiography images22
Self-attentional microvessel segmentation via squeeze-excitation transformer Unet22
Fully automated 3D segmentation of MR-imaged calf muscle compartments: Neighborhood relationship enhanced fully convolutional network22
Evaluation of deep learning approaches for identification of different corona-virus species and time series prediction22
Glioblastoma multiforme prognosis: MRI missing modality generation, segmentation and radiogenomic survival prediction22
Deep learning powers cancer diagnosis in digital pathology21
Automated segmentation of epidermis in high-frequency ultrasound of pathological skin using a cascade of DeepLab v3+ networks and fuzzy connectedness21
An unsupervised method for histological image segmentation based on tissue cluster level graph cut20
Three-dimensional breast tumor segmentation on DCE-MRI with a multilabel attention-guided joint-phase-learning network20
IMIIN: An inter-modality information interaction network for 3D multi-modal breast tumor segmentation20
Uncertainty estimation and explainability in deep learning-based age estimation of the human brain: Results from the German National Cohort MRI study20
Dual energy CT image prediction on primary tumor of lung cancer for nodal metastasis using deep learning20
A U-Net based framework to quantify glomerulosclerosis in digitized PAS and H&E stained human tissues19
Multi-task network for automated analysis of high-resolution endomicroscopy images to detect cervical precancer and cancer19
LF-UNet – A novel anatomical-aware dual-branch cascaded deep neural network for segmentation of retinal layers and fluid from optical coherence tomography images19
An artificial-intelligence lung imaging analysis system (ALIAS) for population-based nodule computing in CT scans19
WCE polyp detection with triplet based embeddings19
Intra-domain task-adaptive transfer learning to determine acute ischemic stroke onset time19
Learnable image histograms-based deep radiomics for renal cell carcinoma grading and staging18
3D deep learning based classification of pulmonary ground glass opacity nodules with automatic segmentation18
Segmentation of coronary arteries images using global feature embedded network with active contour loss18
Lesion synthesis to improve intracranial hemorrhage detection and classification for CT images18
Towards human-level performance on automatic pose estimation of infant spontaneous movements18
XctNet: Reconstruction network of volumetric images from a single X-ray image17
Blockchain and homomorphic encryption based privacy-preserving model aggregation for medical images17
Assessing the speed-accuracy trade-offs of popular convolutional neural networks for single-crop rib fracture classification17
Geometric deep learning on brain shape predicts sex and age17
A review on brain tumor segmentation based on deep learning methods with federated learning techniques17
A deep learning based multiscale approach to segment the areas of interest in whole slide images16
Tumor classification in automated breast ultrasound (ABUS) based on a modified extracting feature network16
Improved real-time segmentation of Intravascular Ultrasound images using coordinate-aware fully convolutional networks16
Label-informed cardiac magnetic resonance image synthesis through conditional generative adversarial networks16
Compressed medical imaging based on average sparsity model and reweighted analysis of multiple basis pursuit15
Automatic deep learning-based myocardial infarction segmentation from delayed enhancement MRI15
A new deep learning method for displacement tracking from ultrasound RF signals of vascular walls14
Automatic MR image quality evaluation using a Deep CNN: A reference-free method to rate motion artifacts in neuroimaging14
Ultrasound volume projection image quality selection by ranking from convolutional RankNet14
Hierarchical pathology screening for cervical abnormality14
Computed tomography image reconstruction using stacked U-Net14
Improved-Mask R-CNN: Towards an accurate generic MSK MRI instance segmentation platform (data from the Osteoarthritis Initiative)14
A category attention instance segmentation network for four cardiac chambers segmentation in fetal echocardiography14
Towards quantitative and intuitive percutaneous tumor puncture via augmented virtual reality13
What is the state of the art of computer vision-assisted cytology? A Systematic Literature Review13
3D hemisphere-based convolutional neural network for whole-brain MRI segmentation13
Three-dimensional reconstruction of In Vivo human lumbar spine from biplanar radiographs13
Super-resolution of magnetic resonance images using Generative Adversarial Networks13
HACA3: A unified approach for multi-site MR image harmonization13
Bayesian K-SVD for H and E blind color deconvolution. Applications to stain normalization, data augmentation and cancer classification13
Self-supervised contrastive learning with random walks for medical image segmentation with limited annotations13
Chronic wounds multimodal image database13
Residual attention based uncertainty-guided mean teacher model for semi-supervised breast masses segmentation in 2D ultrasonography13
Dermal epidermal junction detection for full-field optical coherence tomography data of human skin by deep learning12
Dual-task ultrasound spine transverse vertebrae segmentation network with contour regularization12
DC-cycleGAN: Bidirectional CT-to-MR synthesis from unpaired data12
End-to-end multi-task learning approaches for the joint epiretinal membrane segmentation and screening in OCT images12
Iterative confidence relabeling with deep ConvNets for organ segmentation with partial labels12
MRI image synthesis with dual discriminator adversarial learning and difficulty-aware attention mechanism for hippocampal subfields segmentation12
A self-supervised guided knowledge distillation framework for unpaired low-dose CT image denoising12
A cascade and heterogeneous neural network for CT pulmonary nodule detection and its evaluation on both phantom and patient data12
Modeling the survival of colorectal cancer patients based on colonoscopic features in a feature ensemble vision transformer12
Evaluation of an automated intracranial aneurysm detection and rupture analysis approach using cascade detection and classification networks11
AugmentA: Patient-specific augmented atrial model generation tool11
PCAN: Pixel-wise classification and attention network for thoracic disease classification and weakly supervised localization11
Domain knowledge augmentation of parallel MR image reconstruction using deep learning11
3D-QCNet – A pipeline for automated artifact detection in diffusion MRI images11
Unraveling the complexity of Optical Coherence Tomography image segmentation using machine and deep learning techniques: A review11
Multi-modal medical Transformers: A meta-analysis for medical image segmentation in oncology11
Multiple instance learning for digital pathology: A review of the state-of-the-art, limitations & future potential11
Retrospective study of deep learning to reduce noise in non-contrast head CT images11
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