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 2020-04-01 to 2024-04-01.)
ArticleCitations
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation189
Role of deep learning in brain tumor detection and classification (2015 to 2020): A review99
Automated multi-class classification of skin lesions through deep convolutional neural network with dermoscopic images88
An Integration of blockchain and AI for secure data sharing and detection of CT images for the hospitals88
MS-UNet: A multi-scale UNet with feature recalibration approach for automatic liver and tumor segmentation in CT images79
Does image normalization and intensity resolution impact texture classification?70
Deep Multi-Magnification Networks for multi-class breast cancer image segmentation69
CT synthesis from MRI using multi-cycle GAN for head-and-neck radiation therapy53
Fast and efficient retinal blood vessel segmentation method based on deep learning network52
FA-GAN: Fused attentive generative adversarial networks for MRI image super-resolution51
A deep learning approach to the screening of malaria infection: Automated and rapid cell counting, object detection and instance segmentation using Mask R-CNN51
A survey on contemporary computer-aided tumor, polyp, and ulcer detection methods in wireless capsule endoscopy imaging51
On the performance of lung nodule detection, segmentation and classification50
DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays48
Automatic skin lesion classification based on mid-level feature learning48
A novel CNN based Alzheimer’s disease classification using hybrid enhanced ICA segmented gray matter of MRI45
Deep transfer learning approaches for bleeding detection in endoscopy images44
A deep learning-based approach for automatic segmentation and quantification of the left ventricle from cardiac cine MR images43
Classification of malignant tumors in breast ultrasound using a pretrained deep residual network model and support vector machine42
A survey on graph-based deep learning for computational histopathology42
Histopathology classification and localization of colorectal cancer using global labels by weakly supervised deep learning41
Healthy versus pathological learning transferability in shoulder muscle MRI segmentation using deep convolutional encoder-decoders40
Automatic cardiac cine MRI segmentation and heart disease classification40
Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic39
LGAN: Lung segmentation in CT scans using generative adversarial network39
Left ventricle automatic segmentation in cardiac MRI using a combined CNN and U-net approach38
Automated MRI based pipeline for segmentation and prediction of grade, IDH mutation and 1p19q co-deletion in glioma38
Multiple sclerosis lesion activity segmentation with attention-guided two-path CNNs35
Memory-efficient GAN-based domain translation of high resolution 3D medical images34
Automated coronary artery atherosclerosis detection and weakly supervised localization on coronary CT angiography with a deep 3-dimensional convolutional neural network34
CT synthesis from MR in the pelvic area using Residual Transformer Conditional GAN33
Deep learning method for localization and segmentation of abdominal CT32
MSDS-UNet: A multi-scale deeply supervised 3D U-Net for automatic segmentation of lung tumor in CT31
MMTLNet: Multi-Modality Transfer Learning Network with adversarial training for 3D whole heart segmentation31
Learning-based algorithms for vessel tracking: A review31
WeGleNet: A weakly-supervised convolutional neural network for the semantic segmentation of Gleason grades in prostate histology images31
An imageomics and multi-network based deep learning model for risk assessment of liver transplantation for hepatocellular cancer30
Automatic segmentation of white matter hyperintensities from brain magnetic resonance images in the era of deep learning and big data – A systematic review29
A New Deep Learning Network for Mitigating Limited-view and Under-sampling Artifacts in Ring-shaped Photoacoustic Tomography29
Fully automatic segmentation of right and left ventricle on short-axis cardiac MRI images26
Early detection of ankylosing spondylitis using texture features and statistical machine learning, and deep learning, with some patient age analysis25
Cardiac VFM visualization and analysis based on YOLO deep learning model and modified 2D continuity equation25
Efficient deep learning architecture with dimension-wise pyramid pooling for nuclei segmentation of histopathology images23
Analyzing magnetic resonance imaging data from glioma patients using deep learning23
Hemorrhagic stroke lesion segmentation using a 3D U-Net with squeeze-and-excitation blocks23
An end-to-end breast tumour classification model using context-based patch modelling – A BiLSTM approach for image classification23
A CNN-based active learning framework to identify mycobacteria in digitized Ziehl-Neelsen stained human tissues23
Retinex model based stain normalization technique for whole slide image analysis23
Modeling task-based fMRI data via deep belief network with neural architecture search23
Non-convex primal-dual algorithm for image reconstruction in spectral CT23
Retracted: An easy-to-use deep-learning model for highly accurate diagnosis of Parkinson's disease using SPECT images23
Automated assessment of glomerulosclerosis and tubular atrophy using deep learning22
Deep adaptive registration of multi-modal prostate images22
A multiparametric MRI-based CAD system for accurate diagnosis of bladder cancer staging22
Fusion based on attention mechanism and context constraint for multi-modal brain tumor segmentation22
Intensity inhomogeneity correction of MRI images using InhomoNet22
Artificial intelligence (AI) impacting diagnosis of glaucoma and understanding the regulatory aspects of AI-based software as medical device22
Machine learning techniques for mitoses classification21
Deep learning based automatic diagnosis of first-episode psychosis, bipolar disorder and healthy controls21
DiSegNet: A deep dilated convolutional encoder-decoder architecture for lymph node segmentation on PET/CT images20
A predictive framework based on brain volume trajectories enabling early detection of Alzheimer's disease20
Fully automated 3D segmentation of MR-imaged calf muscle compartments: Neighborhood relationship enhanced fully convolutional network20
The optimisation of deep neural networks for segmenting multiple knee joint tissues from MRIs20
A contrastive consistency semi-supervised left atrium segmentation model20
Towards radiologist-level cancer risk assessment in CT lung screening using deep learning20
Bridging 2D and 3D segmentation networks for computation-efficient volumetric medical image segmentation: An empirical study of 2.5D solutions19
Stenosis-DetNet: Sequence consistency-based stenosis detection for X-ray coronary angiography19
Automated segmentation of normal and diseased coronary arteries – The ASOCA challenge19
Weakly supervised deep learning for prediction of treatment effectiveness on ovarian cancer from histopathology images19
Gait acquisition and analysis system for osteoarthritis based on hybrid prediction model19
Vessel segmentation using multiscale vessel enhancement and a region based level set model19
Evaluation of deep learning approaches for identification of different corona-virus species and time series prediction18
Learnable image histograms-based deep radiomics for renal cell carcinoma grading and staging18
Glioblastoma multiforme prognosis: MRI missing modality generation, segmentation and radiogenomic survival prediction18
Deep learning powers cancer diagnosis in digital pathology18
Three-dimensional breast tumor segmentation on DCE-MRI with a multilabel attention-guided joint-phase-learning network17
Neural Architecture Search for compressed sensing Magnetic Resonance image reconstruction16
A U-Net based framework to quantify glomerulosclerosis in digitized PAS and H&E stained human tissues16
Self-attentional microvessel segmentation via squeeze-excitation transformer Unet16
Segmentation of coronary arteries images using global feature embedded network with active contour loss16
Deep contrastive learning based tissue clustering for annotation-free histopathology image analysis16
WCE polyp detection with triplet based embeddings16
LF-UNet – A novel anatomical-aware dual-branch cascaded deep neural network for segmentation of retinal layers and fluid from optical coherence tomography images16
PIÑATA: Pinpoint insertion of intravenous needles via augmented reality training assistance16
Compressed medical imaging based on average sparsity model and reweighted analysis of multiple basis pursuit15
Tumor classification in automated breast ultrasound (ABUS) based on a modified extracting feature network15
Semantic segmentation of the multiform proximal femur and femoral head bones with the deep convolutional neural networks in low quality MRI sections acquired in different MRI protocols15
An artificial-intelligence lung imaging analysis system (ALIAS) for population-based nodule computing in CT scans15
Dual energy CT image prediction on primary tumor of lung cancer for nodal metastasis using deep learning15
Uncertainty estimation and explainability in deep learning-based age estimation of the human brain: Results from the German National Cohort MRI study14
Pyramid attention recurrent networks for real-time guidewire segmentation and tracking in intraoperative X-ray fluoroscopy14
An unsupervised method for histological image segmentation based on tissue cluster level graph cut14
Automated segmentation of epidermis in high-frequency ultrasound of pathological skin using a cascade of DeepLab v3+ networks and fuzzy connectedness14
IMIIN: An inter-modality information interaction network for 3D multi-modal breast tumor segmentation14
Lesion synthesis to improve intracranial hemorrhage detection and classification for CT images14
Blockchain and homomorphic encryption based privacy-preserving model aggregation for medical images13
Improved real-time segmentation of Intravascular Ultrasound images using coordinate-aware fully convolutional networks13
Improved-Mask R-CNN: Towards an accurate generic MSK MRI instance segmentation platform (data from the Osteoarthritis Initiative)13
Intra-domain task-adaptive transfer learning to determine acute ischemic stroke onset time13
AI-PLAX: AI-based placental assessment and examination using photos13
Automatic MR image quality evaluation using a Deep CNN: A reference-free method to rate motion artifacts in neuroimaging12
3D deep learning based classification of pulmonary ground glass opacity nodules with automatic segmentation12
Assessing the speed-accuracy trade-offs of popular convolutional neural networks for single-crop rib fracture classification12
3D hemisphere-based convolutional neural network for whole-brain MRI segmentation12
Geometric deep learning on brain shape predicts sex and age12
A deep learning based multiscale approach to segment the areas of interest in whole slide images12
A new deep learning method for displacement tracking from ultrasound RF signals of vascular walls12
Fast fully automatic skin lesions segmentation probabilistic with Parzen window11
Hierarchical pathology screening for cervical abnormality11
A cascade and heterogeneous neural network for CT pulmonary nodule detection and its evaluation on both phantom and patient data11
CAB U-Net: An end-to-end category attention boosting algorithm for segmentation11
Automatic deep learning-based myocardial infarction segmentation from delayed enhancement MRI11
End-to-end multi-task learning approaches for the joint epiretinal membrane segmentation and screening in OCT images11
Ultrasound volume projection image quality selection by ranking from convolutional RankNet11
Dual-task ultrasound spine transverse vertebrae segmentation network with contour regularization11
MRI image synthesis with dual discriminator adversarial learning and difficulty-aware attention mechanism for hippocampal subfields segmentation11
Multi-task network for automated analysis of high-resolution endomicroscopy images to detect cervical precancer and cancer11
Computed tomography image reconstruction using stacked U-Net11
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