Computerized Medical Imaging and Graphics

Papers
(The TQCC of Computerized Medical Imaging and Graphics is 12. 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 2020-09-01 to 2024-09-01.)
ArticleCitations
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation248
Role of deep learning in brain tumor detection and classification (2015 to 2020): A review125
Automated multi-class classification of skin lesions through deep convolutional neural network with dermoscopic images112
An Integration of blockchain and AI for secure data sharing and detection of CT images for the hospitals99
MS-UNet: A multi-scale UNet with feature recalibration approach for automatic liver and tumor segmentation in CT images91
Deep Multi-Magnification Networks for multi-class breast cancer image segmentation75
CT synthesis from MRI using multi-cycle GAN for head-and-neck radiation therapy71
FA-GAN: Fused attentive generative adversarial networks for MRI image super-resolution69
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
A survey on contemporary computer-aided tumor, polyp, and ulcer detection methods in wireless capsule endoscopy imaging55
DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays54
On the performance of lung nodule detection, segmentation and classification54
Automatic skin lesion classification based on mid-level feature learning53
A survey on graph-based deep learning for computational histopathology52
Automatic cardiac cine MRI segmentation and heart disease classification50
Deep transfer learning approaches for bleeding detection in endoscopy images49
Histopathology classification and localization of colorectal cancer using global labels by weakly supervised deep learning48
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 glioma44
LGAN: Lung segmentation in CT scans using generative adversarial network44
Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic44
Multiple sclerosis lesion activity segmentation with attention-guided two-path CNNs41
CT synthesis from MR in the pelvic area using Residual Transformer Conditional GAN39
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
Bridging 2D and 3D segmentation networks for computation-efficient volumetric medical image segmentation: An empirical study of 2.5D solutions37
Deep learning method for localization and segmentation of abdominal CT36
Memory-efficient GAN-based domain translation of high resolution 3D medical images36
Learning-based algorithms for vessel tracking: A review36
A New Deep Learning Network for Mitigating Limited-view and Under-sampling Artifacts in Ring-shaped Photoacoustic Tomography35
An imageomics and multi-network based deep learning model for risk assessment of liver transplantation for hepatocellular cancer35
MMTLNet: Multi-Modality Transfer Learning Network with adversarial training for 3D whole heart segmentation34
Hemorrhagic stroke lesion segmentation using a 3D U-Net with squeeze-and-excitation blocks32
WeGleNet: A weakly-supervised convolutional neural network for the semantic segmentation of Gleason grades in prostate histology images32
An end-to-end breast tumour classification model using context-based patch modelling – A BiLSTM approach for image classification30
Towards radiologist-level cancer risk assessment in CT lung screening using deep learning29
Weakly supervised deep learning for prediction of treatment effectiveness on ovarian cancer from histopathology images29
Artificial intelligence (AI) impacting diagnosis of glaucoma and understanding the regulatory aspects of AI-based software as medical device29
Non-convex primal-dual algorithm for image reconstruction in spectral CT28
Deep learning based automatic diagnosis of first-episode psychosis, bipolar disorder and healthy controls28
A CNN-based active learning framework to identify mycobacteria in digitized Ziehl-Neelsen stained human tissues28
Fusion based on attention mechanism and context constraint for multi-modal brain tumor segmentation28
Fully automatic segmentation of right and left ventricle on short-axis cardiac MRI images28
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
Automated assessment of glomerulosclerosis and tubular atrophy using deep learning26
Stenosis-DetNet: Sequence consistency-based stenosis detection for X-ray coronary angiography25
Retracted: An easy-to-use deep-learning model for highly accurate diagnosis of Parkinson's disease using SPECT images25
Automated segmentation of normal and diseased coronary arteries – The ASOCA challenge24
Retinex model based stain normalization technique for whole slide image analysis24
A contrastive consistency semi-supervised left atrium segmentation model24
Deep adaptive registration of multi-modal prostate images23
Machine learning techniques for mitoses classification23
The optimisation of deep neural networks for segmenting multiple knee joint tissues from MRIs23
A multiparametric MRI-based CAD system for accurate diagnosis of bladder cancer staging23
Gait acquisition and analysis system for osteoarthritis based on hybrid prediction model22
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
DiSegNet: A deep dilated convolutional encoder-decoder architecture for lymph node segmentation on PET/CT images22
Vessel segmentation using multiscale vessel enhancement and a region based level set model22
Intensity inhomogeneity correction of MRI images using InhomoNet22
Fully automated 3D segmentation of MR-imaged calf muscle compartments: Neighborhood relationship enhanced fully convolutional network22
Deep contrastive learning based tissue clustering for annotation-free histopathology image analysis21
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
Uncertainty estimation and explainability in deep learning-based age estimation of the human brain: Results from the German National Cohort MRI study20
IMIIN: An inter-modality information interaction network for 3D multi-modal breast tumor segmentation20
Dual energy CT image prediction on primary tumor of lung cancer for nodal metastasis using deep learning20
Intra-domain task-adaptive transfer learning to determine acute ischemic stroke onset time19
Multi-task network for automated analysis of high-resolution endomicroscopy images to detect cervical precancer and cancer19
Self-attentional microvessel segmentation via squeeze-excitation transformer Unet19
Three-dimensional breast tumor segmentation on DCE-MRI with a multilabel attention-guided joint-phase-learning network19
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
Learnable image histograms-based deep radiomics for renal cell carcinoma grading and staging18
LF-UNet – A novel anatomical-aware dual-branch cascaded deep neural network for segmentation of retinal layers and fluid from optical coherence tomography images18
An artificial-intelligence lung imaging analysis system (ALIAS) for population-based nodule computing in CT scans18
Neural Architecture Search for compressed sensing Magnetic Resonance image reconstruction18
Towards human-level performance on automatic pose estimation of infant spontaneous movements18
A U-Net based framework to quantify glomerulosclerosis in digitized PAS and H&E stained human tissues18
WCE polyp detection with triplet based embeddings18
An unsupervised method for histological image segmentation based on tissue cluster level graph cut17
Blockchain and homomorphic encryption based privacy-preserving model aggregation for medical images17
Geometric deep learning on brain shape predicts sex and age17
XctNet: Reconstruction network of volumetric images from a single X-ray image16
3D deep learning based classification of pulmonary ground glass opacity nodules with automatic segmentation16
Assessing the speed-accuracy trade-offs of popular convolutional neural networks for single-crop rib fracture classification16
Compressed medical imaging based on average sparsity model and reweighted analysis of multiple basis pursuit15
A deep learning based multiscale approach to segment the areas of interest in whole slide images15
AI-PLAX: AI-based placental assessment and examination using photos15
Tumor classification in automated breast ultrasound (ABUS) based on a modified extracting feature network15
Automatic deep learning-based myocardial infarction segmentation from delayed enhancement MRI15
Improved real-time segmentation of Intravascular Ultrasound images using coordinate-aware fully convolutional networks15
ImageCAS: A large-scale dataset and benchmark for coronary artery segmentation based on computed tomography angiography images15
Label-informed cardiac magnetic resonance image synthesis through conditional generative adversarial networks14
A new deep learning method for displacement tracking from ultrasound RF signals of vascular walls14
Improved-Mask R-CNN: Towards an accurate generic MSK MRI instance segmentation platform (data from the Osteoarthritis Initiative)14
Ultrasound volume projection image quality selection by ranking from convolutional RankNet14
Automatic MR image quality evaluation using a Deep CNN: A reference-free method to rate motion artifacts in neuroimaging14
Computed tomography image reconstruction using stacked U-Net14
Hierarchical pathology screening for cervical abnormality13
3D hemisphere-based convolutional neural network for whole-brain MRI segmentation13
Bayesian K-SVD for H and E blind color deconvolution. Applications to stain normalization, data augmentation and cancer classification13
What is the state of the art of computer vision-assisted cytology? A Systematic Literature Review13
CAB U-Net: An end-to-end category attention boosting algorithm for segmentation13
A review on brain tumor segmentation based on deep learning methods with federated learning techniques13
A category attention instance segmentation network for four cardiac chambers segmentation in fetal echocardiography13
Deep neural networks for ECG-free cardiac phase and end-diastolic frame detection on coronary angiographies12
MRI image synthesis with dual discriminator adversarial learning and difficulty-aware attention mechanism for hippocampal subfields segmentation12
End-to-end multi-task learning approaches for the joint epiretinal membrane segmentation and screening in OCT images12
A cascade and heterogeneous neural network for CT pulmonary nodule detection and its evaluation on both phantom and patient data12
Fast fully automatic skin lesions segmentation probabilistic with Parzen window12
A self-supervised guided knowledge distillation framework for unpaired low-dose CT image denoising12
Chronic wounds multimodal image database12
Dual-task ultrasound spine transverse vertebrae segmentation network with contour regularization12
Three-dimensional reconstruction of In Vivo human lumbar spine from biplanar radiographs12
Self-supervised contrastive learning with random walks for medical image segmentation with limited annotations12
Super-resolution of magnetic resonance images using Generative Adversarial Networks12
Residual attention based uncertainty-guided mean teacher model for semi-supervised breast masses segmentation in 2D ultrasonography12
An efficient end-to-end CNN for segmentation of bone surfaces from ultrasound12
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