Computerized Medical Imaging and Graphics

Papers
(The TQCC of Computerized Medical Imaging and Graphics is 10. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
Unsupervised adversarial neural network for enhancing vasculature in photoacoustic tomography images using optical coherence tomography angiography409
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 88
Multimodal Cross Global Learnable Attention Network for MR images denoising with arbitrary modal missing82
Z-SSMNet: Zonal-aware Self-supervised Mesh Network for prostate cancer detection and diagnosis with Bi-parametric MRI76
Editorial Board62
Head pose-assisted localization of facial landmarks for enhanced fast registration in skull base surgery60
Segmentation of pelvic structures in T2 MRI via MR-to-CT synthesis58
Multi modality fusion transformer with spatio-temporal feature aggregation module for psychiatric disorder diagnosis56
Unraveling the complexity of Optical Coherence Tomography image segmentation using machine and deep learning techniques: A review55
Unsupervised feature correlation model to predict breast abnormal variation maps in longitudinal mammograms50
Interpretable attention-based deep learning ensemble for personalized ovarian cancer treatment without manual annotations49
A transformer-based hierarchical registration framework for multimodality deformable image registration44
Unpaired virtual histological staining using prior-guided generative adversarial networks37
Intracranial steno-occlusive lesion detection on time-of-flight MR angiography using multi-task learning36
LA-ResUNet: Attention-based network for longitudinal liver tumor segmentation from CT images35
Self-supervised network predicting neoadjuvant chemoradiotherapy response to locally advanced rectal cancer patients33
DSIFNet: Implicit feature network for nasal cavity and vestibule segmentation from 3D head CT32
Deep learning approach for accurate prostate cancer identification and stratification using combined immunostaining of cytokeratin, p63, and racemase32
SCANED: Siamese collateral assessment network for evaluation of collaterals from ischemic damage32
Interpretable multi-stage attention network to predict cancer subtype, microsatellite instability, TP53 mutation and TMB of endometrial and colorectal cancer31
Editorial Board31
Subtraction-free artifact-aware digital subtraction angiography image generation for head and neck vessels from motion data30
Prior knowledge-based multi-task learning network for pulmonary nodule classification29
Accurate segmentation of liver tumor from multi-modality non-contrast images using a dual-stream multi-level fusion framework28
IMIIN: An inter-modality information interaction network for 3D multi-modal breast tumor segmentation27
Portable head CT motion artifact correction via diffusion-based generative model27
A category attention instance segmentation network for four cardiac chambers segmentation in fetal echocardiography26
C2BA-UNet: A c26
CardSegNet: An adaptive hybrid CNN-vision transformer model for heart region segmentation in cardiac MRI26
Improving segmentation and detection of lesions in CT scans using intensity distribution supervision25
A lung biopsy path planning algorithm based on the double spherical constraint Pareto and indicators’ importance-correlation degree25
An automatic radiomic-based approach for disease localization: A pilot study on COVID-1925
3D-QCNet – A pipeline for automated artifact detection in diffusion MRI images24
A brain subcortical segmentation tool based on anatomy attentional fusion network for developing macaques24
A novel wavelet-transform-based convolution classification network for cervical lymph node metastasis of papillary thyroid carcinoma in ultrasound images23
Inner-ear augmented metal artifact reduction with simulation-based 3D generative adversarial networks23
Automated segmentation of deep brain structures from Inversion-Recovery MRI23
Detection of Alzheimer’s disease using features of brain region-of-interest-based individual network constructed with the sMRI image23
Semi-supervised hybrid spine network for segmentation of spine MR images22
WISE: Efficient WSI selection for active learning in histopathology22
Self-supervised multi-modal feature fusion for predicting early recurrence of hepatocellular carcinoma21
Measuring variability of local brain volume using improved volume preserved warping21
Incremental learning for an evolving stream of medical ultrasound images via counterfactual thinking21
Editorial Board21
A novel center-based deep contrastive metric learning method for the detection of polymicrogyria in pediatric brain MRI20
Sequence based local–global information fusion framework for vertebrae detection under pathological and FOV variation challenges20
CQENet: A segmentation model for nasopharyngeal carcinoma based on confidence quantitative evaluation20
Deep reinforcement learning framework for thoracic diseases classification via prior knowledge guidance20
A novel population-characteristic weighted sparse model for accurate respiratory motion prediction in CT-guided lung cancer interventions19
Automatic development of 3D anatomical models of border zone and core scar regions in the left ventricle19
A comparison of an integrated and image-only deep learning model for predicting the disappearance of indeterminate pulmonary nodules19
AugmentA: Patient-specific augmented atrial model generation tool19
CALIMAR-GAN: An unpaired mask-guided attention network for metal artifact reduction in CT scans18
Uninformed Teacher-Student for hard-samples distillation in weakly supervised mitosis localization18
Quasi-supervised learning for super-resolution PET18
Improving Vessel Segmentation with Multi-Task Learning and Auxiliary Data Available Only During Model Training18
SC-GAN: Structure-completion generative adversarial network for synthetic CT generation from MR images with truncated anatomy18
BBox-Guided Segmentor: Leveraging expert knowledge for accurate stroke lesion segmentation using weakly supervised bounding box prior18
CT synthesis from MR in the pelvic area using Residual Transformer Conditional GAN17
Fully automatic segmentation and monitoring of choriocapillaris flow voids in OCTA images17
Multimodal fusion diagnosis of depression and anxiety based on CNN-LSTM model17
MultiNet 2.0: A lightweight attention-based deep learning network for stenosis measurement in carotid ultrasound scans and cardiovascular risk assessment17
Super-resolution of magnetic resonance images using Generative Adversarial Networks17
An unsupervised method for histological image segmentation based on tissue cluster level graph cut16
Uncertainty-aware regression model to predict post-operative visual acuity in patients with macular holes16
Towards human-level performance on automatic pose estimation of infant spontaneous movements16
Bridging 2D and 3D segmentation networks for computation-efficient volumetric medical image segmentation: An empirical study of 2.5D solutions16
Distance guided generative adversarial network for explainable medical image classifications15
MRI texture-based radiomics analysis for the identification of altered functional networks in alcoholic patients and animal models15
Uncertainty-aware body composition analysis with deep regression ensembles on UK Biobank MRI15
Contrastive learning in brain imaging15
Automatic summarization of endoscopic skull base surgical videos through object detection and hidden Markov modeling15
CPTV: Classification by tracking of carotid plaque in ultrasound videos15
Dynamic recurrent inference machines for accelerated MRI-guided radiotherapy of the liver15
Mamba-based deformable medical image registration with an annotated brain MR-CT dataset14
Bi-VesTreeFormer: A bidirectional topology-aware transformer framework for coronary vFFR estimation14
Retinal OCT speckle as a biomarker for glaucoma diagnosis and staging14
Hierarchical multimodal fusion framework based on noisy label learning and attention mechanism for cancer classification with pathology and genomic features14
A deep learning framework for reconstructing Breast Amide Proton Transfer weighted imaging sequences from sparse frequency offsets to dense frequency offsets14
A community-based approach to image analysis of cells, tissues and tumors14
Interstitial-guided automatic clinical tumor volume segmentation network for cervical cancer brachytherapy14
Fast X-ray/CT image registration based on perspective projection triangular features13
Unsupervised domain adaptation based on feature and edge alignment for femur X-ray image segmentation13
iPCa-Net: A CNN-based framework for predicting incidental prostate cancer using multiparametric MRI13
Invasion depth estimation of carcinoma cells using adaptive stain normalization to improve epidermis segmentation accuracy13
Utilizing domain knowledge to improve the classification of intravenous contrast phase of CT scans13
A novel intelligent grade classification architecture for Patent Foramen Ovale by Contrast Transthoracic Echocardiography based on deep learning13
MICDIR: Multi-scale inverse-consistent deformable image registration using UNetMSS with self-constructing graph latent13
Deep reinforcement learning and convolutional autoencoders for anomaly detection of congenital inner ear malformations in clinical CT images13
Attention guided discriminative feature learning and adaptive fusion for grading hepatocellular carcinoma with Contrast-enhanced MR13
Cerebrovascular segmentation in phase-contrast magnetic resonance angiography by multi-feature fusion and vessel completion13
RibFractureSys: A gem in the face of acute rib fracture diagnoses12
MRI-based vector radiomics for predicting breast cancer HER2 status and its changes after neoadjuvant therapy12
Progress and trends in neurological disorders research based on deep learning12
Cervical OCT image classification using contrastive masked autoencoders with Swin Transformer12
Blockchain and homomorphic encryption based privacy-preserving model aggregation for medical images12
On-cloud decision-support system for non-small cell lung cancer histology characterization from thorax computed tomography scans12
PatchCL-AE: Anomaly detection for medical images using patch-wise contrastive learning-based auto-encoder12
Fluid-SegNet: Multi-dimensional loss-driven Y-Net with dilated convolutions for OCT B-scan fluid segmentation12
DC-cycleGAN: Bidirectional CT-to-MR synthesis from unpaired data12
Self-attentional microvessel segmentation via squeeze-excitation transformer Unet12
Leverage prior texture information in deep learning-based liver tumor segmentation: A plug-and-play Texture-Based Auto Pseudo Label module11
TSU-net: Two-stage multi-scale cascade and multi-field fusion U-net for right ventricular segmentation11
A 3D framework for segmentation of carotid artery vessel wall and identification of plaque compositions in multi-sequence MR images11
Retrospective study of deep learning to reduce noise in non-contrast head CT images11
Liver lesion segmentation in ultrasound: A benchmark and a baseline network11
Deep learning ensembles for detecting brain metastases in longitudinal multi-modal MRI studies11
PFMNet: Prototype-based feature mapping network for few-shot domain adaptation in medical image segmentation11
Adjacent point aided vertebral landmark detection and Cobb angle measurement for automated AIS diagnosis11
CASCADE-FSL: Few-shot learning for collateral evaluation in ischemic stroke11
Multi-network approach for image segmentation in non-contrast enhanced cardiac 3D MRI of arrhythmic patients11
Weak lesion feature extraction by dual-branch separation and enhancement network for safe hemorrhagic transformation prediction11
Towards explainable oral cancer recognition: Screening on imperfect images via Informed Deep Learning and Case-Based Reasoning10
TCDE-Net: An unsupervised dual-encoder network for 3D brain medical image registration10
HACA3: A unified approach for multi-site MR image harmonization10
A technology framework for distributed preoperative planning and medical training in deep brain stimulation10
Editorial Board10
One-shot learning for generalization in medical image classification across modalities10
3D hemisphere-based convolutional neural network for whole-brain MRI segmentation10
Towards better interpretable and generalizable AD detection using collective artificial intelligence10
End-systole and end-diastole detection in short axis cine MRI using a fully convolutional neural network with dilated convolutions10
PCAN: Pixel-wise classification and attention network for thoracic disease classification and weakly supervised localization10
Multi-modal MRI synthesis with conditional latent diffusion models for data augmentation in tumor segmentation10
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