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 2020-05-01 to 2024-05-01.)
ArticleCitations
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation209
Role of deep learning in brain tumor detection and classification (2015 to 2020): A review104
Automated multi-class classification of skin lesions through deep convolutional neural network with dermoscopic images92
An Integration of blockchain and AI for secure data sharing and detection of CT images for the hospitals91
MS-UNet: A multi-scale UNet with feature recalibration approach for automatic liver and tumor segmentation in CT images81
Deep Multi-Magnification Networks for multi-class breast cancer image segmentation70
CT synthesis from MRI using multi-cycle GAN for head-and-neck radiation therapy55
Fast and efficient retinal blood vessel segmentation method based on deep learning network55
FA-GAN: Fused attentive generative adversarial networks for MRI image super-resolution53
A deep learning approach to the screening of malaria infection: Automated and rapid cell counting, object detection and instance segmentation using Mask R-CNN53
A survey on contemporary computer-aided tumor, polyp, and ulcer detection methods in wireless capsule endoscopy imaging52
On the performance of lung nodule detection, segmentation and classification51
DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays51
Automatic skin lesion classification based on mid-level feature learning48
Deep transfer learning approaches for bleeding detection in endoscopy images46
A survey on graph-based deep learning for computational histopathology44
Histopathology classification and localization of colorectal cancer using global labels by weakly supervised deep learning44
Classification of malignant tumors in breast ultrasound using a pretrained deep residual network model and support vector machine44
Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic41
Automatic cardiac cine MRI segmentation and heart disease classification41
Healthy versus pathological learning transferability in shoulder muscle MRI segmentation using deep convolutional encoder-decoders40
LGAN: Lung segmentation in CT scans using generative adversarial network40
Automated MRI based pipeline for segmentation and prediction of grade, IDH mutation and 1p19q co-deletion in glioma39
Left ventricle automatic segmentation in cardiac MRI using a combined CNN and U-net approach38
Multiple sclerosis lesion activity segmentation with attention-guided two-path CNNs36
CT synthesis from MR in the pelvic area using Residual Transformer Conditional GAN35
Memory-efficient GAN-based domain translation of high resolution 3D medical images35
Automated coronary artery atherosclerosis detection and weakly supervised localization on coronary CT angiography with a deep 3-dimensional convolutional neural network34
Deep learning method for localization and segmentation of abdominal CT33
MSDS-UNet: A multi-scale deeply supervised 3D U-Net for automatic segmentation of lung tumor in CT32
WeGleNet: A weakly-supervised convolutional neural network for the semantic segmentation of Gleason grades in prostate histology images32
A New Deep Learning Network for Mitigating Limited-view and Under-sampling Artifacts in Ring-shaped Photoacoustic Tomography32
Automatic segmentation of white matter hyperintensities from brain magnetic resonance images in the era of deep learning and big data – A systematic review31
MMTLNet: Multi-Modality Transfer Learning Network with adversarial training for 3D whole heart segmentation31
Learning-based algorithms for vessel tracking: A review31
An imageomics and multi-network based deep learning model for risk assessment of liver transplantation for hepatocellular cancer30
Hemorrhagic stroke lesion segmentation using a 3D U-Net with squeeze-and-excitation blocks27
Fully automatic segmentation of right and left ventricle on short-axis cardiac MRI images26
Cardiac VFM visualization and analysis based on YOLO deep learning model and modified 2D continuity equation26
An end-to-end breast tumour classification model using context-based patch modelling – A BiLSTM approach for image classification26
Early detection of ankylosing spondylitis using texture features and statistical machine learning, and deep learning, with some patient age analysis26
A CNN-based active learning framework to identify mycobacteria in digitized Ziehl-Neelsen stained human tissues25
Fusion based on attention mechanism and context constraint for multi-modal brain tumor segmentation25
Non-convex primal-dual algorithm for image reconstruction in spectral CT25
Retracted: An easy-to-use deep-learning model for highly accurate diagnosis of Parkinson's disease using SPECT images24
Analyzing magnetic resonance imaging data from glioma patients using deep learning24
Deep learning based automatic diagnosis of first-episode psychosis, bipolar disorder and healthy controls24
Efficient deep learning architecture with dimension-wise pyramid pooling for nuclei segmentation of histopathology images23
Modeling task-based fMRI data via deep belief network with neural architecture search23
Retinex model based stain normalization technique for whole slide image analysis23
Bridging 2D and 3D segmentation networks for computation-efficient volumetric medical image segmentation: An empirical study of 2.5D solutions23
Artificial intelligence (AI) impacting diagnosis of glaucoma and understanding the regulatory aspects of AI-based software as medical device23
Automated assessment of glomerulosclerosis and tubular atrophy using deep learning23
Towards radiologist-level cancer risk assessment in CT lung screening using deep learning23
A multiparametric MRI-based CAD system for accurate diagnosis of bladder cancer staging22
Intensity inhomogeneity correction of MRI images using InhomoNet22
Deep adaptive registration of multi-modal prostate images22
Machine learning techniques for mitoses classification22
A predictive framework based on brain volume trajectories enabling early detection of Alzheimer's disease22
Weakly supervised deep learning for prediction of treatment effectiveness on ovarian cancer from histopathology images21
A contrastive consistency semi-supervised left atrium segmentation model21
DiSegNet: A deep dilated convolutional encoder-decoder architecture for lymph node segmentation on PET/CT images21
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
Gait acquisition and analysis system for osteoarthritis based on hybrid prediction model20
Vessel segmentation using multiscale vessel enhancement and a region based level set model20
Deep learning powers cancer diagnosis in digital pathology20
Automated segmentation of normal and diseased coronary arteries – The ASOCA challenge20
Stenosis-DetNet: Sequence consistency-based stenosis detection for X-ray coronary angiography19
Evaluation of deep learning approaches for identification of different corona-virus species and time series prediction19
Glioblastoma multiforme prognosis: MRI missing modality generation, segmentation and radiogenomic survival prediction19
Three-dimensional breast tumor segmentation on DCE-MRI with a multilabel attention-guided joint-phase-learning network18
Learnable image histograms-based deep radiomics for renal cell carcinoma grading and staging18
Deep contrastive learning based tissue clustering for annotation-free histopathology image analysis18
WCE polyp detection with triplet based embeddings17
Segmentation of coronary arteries images using global feature embedded network with active contour loss16
IMIIN: An inter-modality information interaction network for 3D multi-modal breast tumor segmentation16
Dual energy CT image prediction on primary tumor of lung cancer for nodal metastasis using deep learning16
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
Automated segmentation of epidermis in high-frequency ultrasound of pathological skin using a cascade of DeepLab v3+ networks and fuzzy connectedness16
An artificial-intelligence lung imaging analysis system (ALIAS) for population-based nodule computing in CT scans16
Self-attentional microvessel segmentation via squeeze-excitation transformer Unet16
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
Intra-domain task-adaptive transfer learning to determine acute ischemic stroke onset time15
Lesion synthesis to improve intracranial hemorrhage detection and classification for CT images15
An unsupervised method for histological image segmentation based on tissue cluster level graph cut15
Pyramid attention recurrent networks for real-time guidewire segmentation and tracking in intraoperative X-ray fluoroscopy15
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
Towards human-level performance on automatic pose estimation of infant spontaneous movements14
A new deep learning method for displacement tracking from ultrasound RF signals of vascular walls14
AI-PLAX: AI-based placental assessment and examination using photos14
Uncertainty estimation and explainability in deep learning-based age estimation of the human brain: Results from the German National Cohort MRI study14
A deep learning based multiscale approach to segment the areas of interest in whole slide images14
Improved-Mask R-CNN: Towards an accurate generic MSK MRI instance segmentation platform (data from the Osteoarthritis Initiative)13
Improved real-time segmentation of Intravascular Ultrasound images using coordinate-aware fully convolutional networks13
Blockchain and homomorphic encryption based privacy-preserving model aggregation for medical images13
Assessing the speed-accuracy trade-offs of popular convolutional neural networks for single-crop rib fracture classification13
3D deep learning based classification of pulmonary ground glass opacity nodules with automatic segmentation13
Geometric deep learning on brain shape predicts sex and age13
XctNet: Reconstruction network of volumetric images from a single X-ray image13
Multi-task network for automated analysis of high-resolution endomicroscopy images to detect cervical precancer and cancer12
3D hemisphere-based convolutional neural network for whole-brain MRI segmentation12
Automatic MR image quality evaluation using a Deep CNN: A reference-free method to rate motion artifacts in neuroimaging12
A cascade and heterogeneous neural network for CT pulmonary nodule detection and its evaluation on both phantom and patient data12
End-to-end multi-task learning approaches for the joint epiretinal membrane segmentation and screening in OCT images12
CAB U-Net: An end-to-end category attention boosting algorithm for segmentation12
Fast fully automatic skin lesions segmentation probabilistic with Parzen window11
Automatic deep learning-based myocardial infarction segmentation from delayed enhancement MRI11
Dermal epidermal junction detection for full-field optical coherence tomography data of human skin by deep learning11
Computed tomography image reconstruction using stacked U-Net11
Domain knowledge augmentation of parallel MR image reconstruction using deep learning11
Hierarchical pathology screening for cervical abnormality11
Ultrasound volume projection image quality selection by ranking from convolutional RankNet11
Residual attention based uncertainty-guided mean teacher model for semi-supervised breast masses segmentation in 2D ultrasonography11
Three-dimensional reconstruction of In Vivo human lumbar spine from biplanar radiographs11
MRI image synthesis with dual discriminator adversarial learning and difficulty-aware attention mechanism for hippocampal subfields segmentation11
Label-informed cardiac magnetic resonance image synthesis through conditional generative adversarial networks11
Dual-task ultrasound spine transverse vertebrae segmentation network with contour regularization11
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