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 2021-05-01 to 2025-05-01.)
ArticleCitations
Unsupervised adversarial neural network for enhancing vasculature in photoacoustic tomography images using optical coherence tomography angiography357
Unsupervised classification of multi-contrast magnetic resonance histology of peripheral arterial disease lesions using a convolutional variational autoencoder with a Gaussian mixture model in latent 179
Multimodal Cross Global Learnable Attention Network for MR images denoising with arbitrary modal missing92
Editorial Board80
Head pose-assisted localization of facial landmarks for enhanced fast registration in skull base surgery77
Unpaired virtual histological staining using prior-guided generative adversarial networks71
Multi modality fusion transformer with spatio-temporal feature aggregation module for psychiatric disorder diagnosis63
Unraveling the complexity of Optical Coherence Tomography image segmentation using machine and deep learning techniques: A review59
Segmentation of pelvic structures in T2 MRI via MR-to-CT synthesis56
Interpretable attention-based deep learning ensemble for personalized ovarian cancer treatment without manual annotations51
Unsupervised feature correlation model to predict breast abnormal variation maps in longitudinal mammograms49
Intracranial steno-occlusive lesion detection on time-of-flight MR angiography using multi-task learning46
A transformer-based hierarchical registration framework for multimodality deformable image registration46
Hemorrhagic stroke lesion segmentation using a 3D U-Net with squeeze-and-excitation blocks46
SCANED: Siamese collateral assessment network for evaluation of collaterals from ischemic damage42
C2BA-UNet: A c41
Editorial Board36
Portable head CT motion artifact correction via diffusion-based generative model36
Interpretable multi-stage attention network to predict cancer subtype, microsatellite instability, TP53 mutation and TMB of endometrial and colorectal cancer34
Subtraction-free artifact-aware digital subtraction angiography image generation for head and neck vessels from motion data33
Prior knowledge-based multi-task learning network for pulmonary nodule classification32
DSIFNet: Implicit feature network for nasal cavity and vestibule segmentation from 3D head CT31
Corrigendum to “Machine learning techniques for mitoses classification” [Comput. Med. Imaging Graphics 87 January (2021) 101832]31
Deep learning approach for accurate prostate cancer identification and stratification using combined immunostaining of cytokeratin, p63, and racemase30
Accurate segmentation of liver tumor from multi-modality non-contrast images using a dual-stream multi-level fusion framework30
CardSegNet: An adaptive hybrid CNN-vision transformer model for heart region segmentation in cardiac MRI27
A category attention instance segmentation network for four cardiac chambers segmentation in fetal echocardiography26
IMIIN: An inter-modality information interaction network for 3D multi-modal breast tumor segmentation26
Computed tomography image reconstruction using stacked U-Net26
Semi-supervised hybrid spine network for segmentation of spine MR images26
Improving segmentation and detection of lesions in CT scans using intensity distribution supervision25
Detection of Alzheimer’s disease using features of brain region-of-interest-based individual network constructed with the sMRI image25
A brain subcortical segmentation tool based on anatomy attentional fusion network for developing macaques25
WISE: Efficient WSI selection for active learning in histopathology25
Automated segmentation of deep brain structures from Inversion-Recovery MRI24
An automatic radiomic-based approach for disease localization: A pilot study on COVID-1924
A lung biopsy path planning algorithm based on the double spherical constraint Pareto and indicators’ importance-correlation degree24
A novel wavelet-transform-based convolution classification network for cervical lymph node metastasis of papillary thyroid carcinoma in ultrasound images24
3D-QCNet – A pipeline for automated artifact detection in diffusion MRI images24
Incremental learning for an evolving stream of medical ultrasound images via counterfactual thinking24
Self-supervised multi-modal feature fusion for predicting early recurrence of hepatocellular carcinoma24
A multiparametric MRI-based CAD system for accurate diagnosis of bladder cancer staging23
Inner-ear augmented metal artifact reduction with simulation-based 3D generative adversarial networks23
3D dissimilar-siamese-u-net for hyperdense Middle cerebral artery sign segmentation23
Editorial Board22
MultiNet 2.0: A lightweight attention-based deep learning network for stenosis measurement in carotid ultrasound scans and cardiovascular risk assessment22
Automatic development of 3D anatomical models of border zone and core scar regions in the left ventricle22
Measuring variability of local brain volume using improved volume preserved warping22
What is the state of the art of computer vision-assisted cytology? A Systematic Literature Review22
Quasi-supervised learning for super-resolution PET21
Sequence based local–global information fusion framework for vertebrae detection under pathological and FOV variation challenges21
A novel center-based deep contrastive metric learning method for the detection of polymicrogyria in pediatric brain MRI21
Super-resolution of magnetic resonance images using Generative Adversarial Networks21
Fully automatic segmentation and monitoring of choriocapillaris flow voids in OCTA images20
AugmentA: Patient-specific augmented atrial model generation tool20
Improving Vessel Segmentation with Multi-Task Learning and Auxiliary Data Available Only During Model Training20
SC-GAN: Structure-completion generative adversarial network for synthetic CT generation from MR images with truncated anatomy19
Multimodal fusion diagnosis of depression and anxiety based on CNN-LSTM model19
CT synthesis from MR in the pelvic area using Residual Transformer Conditional GAN19
BBox-Guided Segmentor: Leveraging expert knowledge for accurate stroke lesion segmentation using weakly supervised bounding box prior19
Uninformed Teacher-Student for hard-samples distillation in weakly supervised mitosis localization19
Uncertainty-aware body composition analysis with deep regression ensembles on UK Biobank MRI18
Deep reinforcement learning framework for thoracic diseases classification via prior knowledge guidance18
MRI texture-based radiomics analysis for the identification of altered functional networks in alcoholic patients and animal models18
Development and dosimetric assessment of an automatic dental artifact classification tool to guide artifact management techniques in a fully automated treatment planning workflow18
Dynamic recurrent inference machines for accelerated MRI-guided radiotherapy of the liver18
Uncertainty-aware regression model to predict post-operative visual acuity in patients with macular holes17
Distance guided generative adversarial network for explainable medical image classifications17
CPTV: Classification by tracking of carotid plaque in ultrasound videos17
A community-based approach to image analysis of cells, tissues and tumors17
Hierarchical multimodal fusion framework based on noisy label learning and attention mechanism for cancer classification with pathology and genomic features16
Contrastive learning in brain imaging16
Retinal OCT speckle as a biomarker for glaucoma diagnosis and staging16
Automatic summarization of endoscopic skull base surgical videos through object detection and hidden Markov modeling16
Bridging 2D and 3D segmentation networks for computation-efficient volumetric medical image segmentation: An empirical study of 2.5D solutions16
Towards human-level performance on automatic pose estimation of infant spontaneous movements16
Unsupervised domain adaptation based on feature and edge alignment for femur X-ray image segmentation15
Fast X-ray/CT image registration based on perspective projection triangular features15
MICDIR: Multi-scale inverse-consistent deformable image registration using UNetMSS with self-constructing graph latent15
Utilizing domain knowledge to improve the classification of intravenous contrast phase of CT scans15
Invasion depth estimation of carcinoma cells using adaptive stain normalization to improve epidermis segmentation accuracy15
An unsupervised method for histological image segmentation based on tissue cluster level graph cut15
iPCa-Net: A CNN-based framework for predicting incidental prostate cancer using multiparametric MRI15
Cerebrovascular segmentation in phase-contrast magnetic resonance angiography by multi-feature fusion and vessel completion15
Automated assessment of glomerulosclerosis and tubular atrophy using deep learning15
Progress and trends in neurological disorders research based on deep learning14
Deep reinforcement learning and convolutional autoencoders for anomaly detection of congenital inner ear malformations in clinical CT images14
MRI-based vector radiomics for predicting breast cancer HER2 status and its changes after neoadjuvant therapy14
Blockchain and homomorphic encryption based privacy-preserving model aggregation for medical images14
Self-attentional microvessel segmentation via squeeze-excitation transformer Unet14
DC-cycleGAN: Bidirectional CT-to-MR synthesis from unpaired data14
Attention guided discriminative feature learning and adaptive fusion for grading hepatocellular carcinoma with Contrast-enhanced MR14
PatchCL-AE: Anomaly detection for medical images using patch-wise contrastive learning-based auto-encoder13
PFMNet: Prototype-based feature mapping network for few-shot domain adaptation in medical image segmentation13
Retrospective study of deep learning to reduce noise in non-contrast head CT images13
Cervical OCT image classification using contrastive masked autoencoders with Swin Transformer13
Weak lesion feature extraction by dual-branch separation and enhancement network for safe hemorrhagic transformation prediction13
A 3D framework for segmentation of carotid artery vessel wall and identification of plaque compositions in multi-sequence MR images13
On-cloud decision-support system for non-small cell lung cancer histology characterization from thorax computed tomography scans13
Multi-network approach for image segmentation in non-contrast enhanced cardiac 3D MRI of arrhythmic patients13
TSU-net: Two-stage multi-scale cascade and multi-field fusion U-net for right ventricular segmentation13
RibFractureSys: A gem in the face of acute rib fracture diagnoses13
Towards better interpretable and generalizable AD detection using collective artificial intelligence12
Three-dimensional breast tumor segmentation on DCE-MRI with a multilabel attention-guided joint-phase-learning network12
Leverage prior texture information in deep learning-based liver tumor segmentation: A plug-and-play Texture-Based Auto Pseudo Label module12
Editorial Board12
Towards explainable oral cancer recognition: Screening on imperfect images via Informed Deep Learning and Case-Based Reasoning12
Adjacent point aided vertebral landmark detection and Cobb angle measurement for automated AIS diagnosis12
Deep learning ensembles for detecting brain metastases in longitudinal multi-modal MRI studies12
Stain color translation of multi-domain OSCC histopathology images using attention gated cGAN11
HACA3: A unified approach for multi-site MR image harmonization11
Dynamic MRI interpolation in temporal direction using an unsupervised generative model11
End-systole and end-diastole detection in short axis cine MRI using a fully convolutional neural network with dilated convolutions11
PCAN: Pixel-wise classification and attention network for thoracic disease classification and weakly supervised localization11
RPDNet: A reconstruction-regularized parallel decoders network for rectal tumor and rectum co-segmentation11
3D hemisphere-based convolutional neural network for whole-brain MRI segmentation11
A review on brain tumor segmentation based on deep learning methods with federated learning techniques11
Automatic left ventricular cavity segmentation via deep spatial sequential network in 4D computed tomography11
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