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Textural differences between renal cell carcinoma subtypes: Machine learning-based quantitative computed tomography texture analysis with independent external validation

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A Two-Stage Deep Learning Method for Robust Shape Reconstruction With Electrical Impedance Tomography

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Radiomics in hepatocellular carcinoma: a quantitative review

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LeuFeatx: Deep learning–based feature extractor for the diagnosis of acute leukemia from microscopic images of peripheral blood smear

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Data Augmentation and Transfer Learning for Brain Tumor Detection in Magnetic Resonance Imaging

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Prognostic Imaging Biomarkers in Glioblastoma: Development and Independent Validation on the Basis of Multiregion and Quantitative Analysis of MR Images

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Machine learning reveals multimodal MRI patterns predictive of isocitrate dehydrogenase and 1p/19q status in diffuse low- and high-grade gliomas

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Pragmatic randomised clinical trial of proton versus photon therapy for patients with non-metastatic breast cancer: the Radiotherapy Comparative Effectiveness (RadComp) Consortium trial protocol

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Toward automatic prediction of EGFR mutation status in pulmonary adenocarcinoma with 3D deep learning

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SANet: A Slice-Aware Network for Pulmonary Nodule Detection

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A Comprehensive Survey on the Detection, Classification, and Challenges of Neurological Disorders

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Glioma Brain Tumor Grade Classification from MRI Using Convolutional Neural Networks Designed by Modified FA

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A comprehensive survey of deep learning research on medical image analysis with focus on transfer learning

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A Kernel Theory of Modern Data Augmentation

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A Deep Learning Approach to Diagnostic Classification of Prostate Cancer Using Pathology–Radiology Fusion

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Customized Deep Learning Classifier for Detection of Acute Lymphoblastic Leukemia Using Blood Smear Images

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A fine-tuned vision transformer based enhanced multi-class brain tumor classification using MRI scan imagery

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Impact of image preprocessing on the scanner dependence of multi-parametric MRI radiomic features and covariate shift in multi-institutional glioblastoma datasets

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Radiomics Strategy for Molecular Subtype Stratification of Lower‐Grade Glioma: Detecting IDH and TP53 Mutations Based on Multimodal MRI

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AdaIN-Based Tunable CycleGAN for Efficient Unsupervised Low-Dose CT Denoising

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Edge Intelligence for Data Handling and Predictive Maintenance in IIOT

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Clinical Evaluation of Deep Learning and Atlas-Based Auto-Contouring of Bladder and Rectum for Prostate Radiation Therapy

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CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation

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Computational pathology: A survey review and the way forward

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A Novel Deep Learning Based Computer-Aided Diagnosis System Improves the Accuracy and Efficiency of Radiologists in Reading Biparametric Magnetic Resonance Images of the Prostate: Results of a Multireader, Multicase Study

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A longitudinal four‐dimensional computed tomography and cone beam computed tomography dataset for image‐guided radiation therapy research in lung cancer

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Unleashing the strengths of unlabelled data in deep learning-assisted pan-cancer abdominal organ quantification: the FLARE22 challenge

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Radiogenomics in Clear Cell Renal Cell Carcinoma: Machine Learning–Based High-Dimensional Quantitative CT Texture Analysis in Predicting PBRM1 Mutation Status

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Social Group Optimization–Assisted Kapur’s Entropy and Morphological Segmentation for Automated Detection of COVID-19 Infection from Computed Tomography Images

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MedNeRF: Medical Neural Radiance Fields for Reconstructing 3D-aware CT-Projections from a Single X-ray

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Machine learning applications to neuroimaging for glioma detection and classification: An artificial intelligence augmented systematic review

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Performance optimisation of deep learning models using majority voting algorithm for brain tumour classification

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Optimized Edge Detection Technique for Brain Tumor Detection in MR Images

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XGBoost Improves Classification of MGMT Promoter Methylation Status in IDH1 Wildtype Glioblastoma

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Experimental quantum adversarial learning with programmable superconducting qubits

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Automated Contouring and Planning in Radiation Therapy: What Is ‘Clinically Acceptable’?

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Brain Tumor Detection and Classification Using Fine-Tuned CNN with ResNet50 and U-Net Model: A Study on TCGA-LGG and TCIA Dataset for MRI Applications

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Generating synthetic data for medical imaging

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Radiomics in stratification of pancreatic cystic lesions: Machine learning in action

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Nuclear Medicine and Artificial Intelligence: Best Practices for Evaluation (the RELAINCE Guidelines)

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Gross tumor volume segmentation for head and neck cancer radiotherapy using deep dense multi-modality network

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Radiomics in Breast Imaging from Techniques to Clinical Applications: A Review

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Effective Diagnosis and Treatment through Content-Based Medical Image Retrieval (CBMIR) by Using Artificial Intelligence

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Medical Image Classification Using a Light-Weighted Hybrid Neural Network Based on PCANet and DenseNet

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Radiomics-based machine learning model for efficiently classifying transcriptome subtypes in glioblastoma patients from MRI

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Deep Orthogonal Fusion: Multimodal Prognostic Biomarker Discovery Integrating Radiology, Pathology, Genomic, and Clinical Data

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Comparing different CT, PET and MRI multi-modality image combinations for deep learning-based head and neck tumor segmentation

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Predicting the ISUP grade of clear cell renal cell carcinoma with multiparametric MR and multiphase CT radiomics

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Non-small cell lung carcinoma histopathological subtype phenotyping using high-dimensional multinomial multiclass CT radiomics signature

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DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image

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Uncertainty-guided dual-views for semi-supervised volumetric medical image segmentation

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A comprehensive review of techniques, algorithms, advancements, challenges, and clinical applications of multi-modal medical image fusion for improved diagnosis

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Standardizing digital biobanks: integrating imaging, genomic, and clinical data for precision medicine

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DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification

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ROI-based feature learning for efficient true positive prediction using convolutional neural network for lung cancer diagnosis

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Bone segmentation on whole-body CT using convolutional neural network with novel data augmentation techniques

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Machine learning for the identification of clinically significant prostate cancer on MRI: a meta-analysis

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Deep learning for end-to-end kidney cancer diagnosis on multi-phase abdominal computed tomography

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Supervised uncertainty quantification for segmentation with multiple annotations

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Generative Adversarial Networks in Digital Pathology and Histopathological Image Processing: A Review

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