Quantitative Imaging in Cancer Evolution and Ecology

Textural Features for Image Classification

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The Clonal Evolution of Tumor Cell Populations: Acquired genetic lability permits stepwise selection of variant sublines and underlies tumor progression.

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Distant metastasis occurs late during the genetic evolution of pancreatic cancer

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Uses and misuses of bioclimatic envelope modeling

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Intratumor Heterogeneity Characterized by Textural Features on Baseline 18F-FDG PET Images Predicts Response to Concomitant Radiochemotherapy in Esophageal Cancer

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Preparing for Precision Medicine

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The role of contact inhibition in intratumoral heterogeneity: An off-lattice individual based modelPreprint

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Containing Cancer with Personalized Minimum Effective DosePreprint

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A Spectrum of Metastatic Disease in the Chest: Insights for the Radiologist

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Diagnosis and treatment of metastatic prostate cancer

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How accurately can quantitative imaging methods be ranked without ground truth: an upper bound on no-gold-standard evaluation

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Leveraging prior knowledge in machine intelligence to improve lesion diagnosis for early cancer detection

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Mr-based radiomics analysis of intra-tumor heterogeneity for early treatment response prediction in locally advanced cervical cancer treated with concurrent chemoradiotherapy

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Novel 4D radiomics applied to dynamic FES PET images to improve prediction of breast cancer response to ER-targeted therapy

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Precision Risk Stratification in Prostate Cancer: Unveiling MRI-Based Habitat-Driven Radiomics Model for Enhanced Treatment Guidance

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Enhancing radiomic feature selection in PET-based heterogeneity analysis through tumor-volume-weighted normalization

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Intratumoral habitat and peritumor radiomics for progression risk stratification of patients with soft tissue sarcoma: a multicenter study

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Prediction of MYC/BCL-2 co-expression in diffuse large B-cell lymphoma using a multimodal fusion model: a retrospective study based on PET/CT habitat radiomics and deep learning

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Integration of Node-RADS and Habitat Radiomics for Predicting Occult Nodal Metastasis in Bladder Cancer

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Transformer-based fusion of radiomics-habitat and deep learning for assessing unruptured intracranial aneurysm instability

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Imaging-driven Digital Biomarkers

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Imaging Biomarker Measurements

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Temporal analysis of lung lesions through dynamic shape features

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COMPUTED TOMOGRAPHY IN THE ASSESSMENT OF THE EFFICACY OF NEOADJUVANTCHEMOTHERAPY FOR GASTRIC ADENOCARCINOMA

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CT radiomics to predict early hepatic recurrence after resection for intrahepatic cholangiocarcinoma

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Emerging techniques in breast MRI

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Quantifying 3D Tumor Microvascular Heterogeneity via Super-resolution Ultrasound Imaging to Categorize and Characterize Microvascular Subgroups in U87 Glioblastoma

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Performance Analysis of Low and High-Grade Breast Tumors Using DCE MR Images and LASSO Feature Selection

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Application and constraints of AI in radiomics and radiogenomics (R-n-R) studies of neuro-oncology

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Computed tomography radiomics in predicting patient satisfaction after robotic-assisted total knee arthroplasty

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Bio-Inspired Algorithms in Healthcare

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MULTI-TISSUE SEGMENTATION ALGORITHM FOR KIDNEY CT IMAGES BASED ON THE HYBRID METHOD OF DEFORMABLE LARGE-KERNEL ATTENTION AND WAVELET TRANSFORM

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The Evaluation of Liver Fibrosis in the Real-Time Shear Wave Elastography Technique in Chronic Hepatitis B and C Patients: How Many Measurements Are Necessary to Assign Patients to METAVIR Score Properly?

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The Prognosis Prediction of GBM Based on High-risk Subregion and Multi-parametric MR Imaging

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Imaging epigenetics and the radiogenomics

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Bridging Spatial Scales From Radiographic Images to Cellular and Molecular Properties in Cancers

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Molecular Imaging and Radiomics

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Multifactorial decision support systems in radiation oncology : clinical predictors and radiomics

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Physically Motivated Feature Development for Machine Learning Applications

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Computer-Assisted Analysis of Biomedical ImagesPreprint

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Reduction of Surgical Risk Through the Evaluation of Medical Imaging DiagnosticsPreprint

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A Radiomic Model To Classify Response To Neoadjuvant Chemotherapy in Breast CancerPreprint

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Multi-parametric PET/MRI With FDG and RGD for Enhanced Tumor Characterization of Patients With Cervical CancerPreprint

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Optimizing MRFâ ASL scan design for precise quantification of brain hemodynamics using neural network regression

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Knowledge Discovery and Predictive Modeling from Brain Tumor MRIs

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The Use of Textural Kinetic Habitats to Mine Diagnostic Information from DCE MR Images of Breast Tumors

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Radiological Evaluation of the Therapeutic Response of Malignant Diseases: Status Quo, Innovative Developments and Requirements for Radiology Radiologische Beurteilung des Therapieansprechens maligner Erkrankungen: Status quo, innovative Entwicklungen und Anforderungen an die Radiologie

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Gary J. R. CookMusib SiddiqueBenjamin P. Taylor

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Platelet Count/Spleen Diameter Ratio and Shear-Wave Elastography for Non-Invasive Prediction of High-Risk Varices: Can We Delay Screening Endoscopy for Compensated Cirrhosis?

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A precise grading method for glioma based on radiomics

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Emerging techniques in diagnostic imaging

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Editorial: medical imaging modeling

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Imaging-Based Prediction Models

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Learning from big imaging data to predict radiotherapy treatment outcomes and side-effects

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Summary and prospects

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Predicting the Grade of Clear Cell Renal Cell Carcinoma from CT Images Using Random Subspace-KNN and Random Forest Classifiers

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Distributed learning for optimal radiomics knowledge

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Radiomics

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Modular design, image biomarkers, and radiomics

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Prognostic and Prediction Modelling with Radiomics for Non-Small Cell Lung Cancer

Patil Ravindra, B. (2020) · Research Publications (Maastricht University) · doi:10.26481/dis.20201006rp · Cited by 1

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Predicting Rectal Cancer Response to Total Neoadjuvant Treatment Using Artificial Intelligence Modeling Based on Magnetic Resonance Imaging and Clinical DataPreprint

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Using radiomics to predict microvascular invasion in hepatocellular carcinoma based on multi-sequence gadoxetate disodium–enhanced MRI combined with clinical parametersPreprint

Wang, Q., Tan, Y., Yang, H., Zhang, J., Lei, X., Liu, M., & He, L. (2022) · Research Square · doi:10.21203/rs.3.rs-2055181/v1

MRI radiomics and radiogenomics for breast cancer

Belenky, V., Chitalia, R., & Despina Kontos, B. (2022) · Advances in magnetic resonance technology and applications · doi:10.1016/b978-0-12-822729-9.00029-1

AI applications in routine clinical imaging

Vaidyanathan, A. (2023) · Research Publications (Maastricht University) · doi:10.26481/dis.20230228av

Data science and clinical informatics

Lanerolle, G. D., Phiri, P., & Haroon, A. (2023) · Elsevier eBooks · doi:10.1016/b978-0-12-821787-0.00012-x

A nomogram model for predicting microvascular invasion of hepatocellular carcinoma based on multi-sequence MRI radiomics score and clinical-pathology-image parametersPreprint

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A computational approach for analysis of intratumoral heterogeneity and standardized uptake value in PET/CT images

Alshamrani, K. A., & Alshamrani, H. A. (2023) · Journal of X-Ray Science and Technology · doi:10.3233/xst-230095

Classification and Evolution of Tumor Ecosystem

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Pilot radiogenomic evaluation of colorectal cancer - Are there preoperative radiological features of the dMMR phenotype?

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Artificial Intelligence (AI) Game Changer in Cancer Biology

Kamalanathan, A., Muthu, B., & Kaleena, P. K. (2023) · BENTHAM SCIENCE PUBLISHERS eBooks · doi:10.2174/9789815136807123010009

A Review of Latest Advancements in Brain Tumor Segmentation using Deep Learning

Krishna, A., Divya, Varshney, C., & Dwivedi, S. K. (2023) · International Conference on Computing, Communication and Networking Technologies (ICCCNT) · doi:10.1109/icccnt56998.2023.10306630

Multiparametric MRI-Based Habitat Imaging to Reveal Zonal Heterogeneity of Prostate Cancer and Predict its Aggressiveness Degree: A Multi-Centre StudyPreprint

Yuan, L., Zhang, J., Ma, L., Xia, Y., Ye, H., Shi, F., Hu, W., Feng, X., Fu, Q., Qin, W., et al. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4840178

Research Progress of Multiparametric MRI Radiomics in Breast Cancer

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Habitat Radiomics for Predicting Progression and Survival in Early-Stage Non-Small Cell Lung Cancer: A Multicenter StudyPreprint

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Super-Resolution Ultrasound-Based Habitat Imaging: A Consensus Statement

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Radiogenomics and Artificial Intelligence in Health and Diseases

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Habitat imaging based on dual-energy computed tomography for predicting axillary lymph node metastasis in breast cancer

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The predictive value of dual-energy computed tomography radiomics in microvessel of clear cell renal cell carcinoma

Li, R., Su, X., Li, Z., Wang, N., Sun, H., & Ouyang, A. (2025) · Future Oncology · doi:10.1080/14796694.2025.2577631

Preoperative non-invasive prediction of lymph node metastasis in cervical cancer using a multiparametric radiomics model based on transvaginal ultrasound

Dong, S., Feng, Y.-N., Li, X.-Y., Du, X.-S., & Sun, L.-T. (2025) · Abdominal Radiology · doi:10.1007/s00261-025-05297-w

Risk stratification for metachronous metastasis in colon cancer based on landscape ecological analysis

Li, Y., Chen, M., Wang, W., Song, Y. S., & Zhang, M. (2025) · Scientific Reports · doi:10.1038/s41598-025-26983-1

Diagnostic Issues in Treating Brain Tumors

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Additional file 1 of Applicability of a pathological complete response magnetic resonance-based radiomics model for locally advanced rectal cancer in intercontinental cohort

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Additional file 1 of Using tumor habitat-derived radiomic analysis during pretreatment 18F-FDG PET for predicting KRAS/NRAS/BRAF mutations in colorectal cancer

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Additional file 1 of Imaging biomarkers for evaluating tumor response: RECIST and beyond

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Additional file 1 of Morphological MRI features as prognostic indicators in brain metastases

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A multicenter multimodel habitat radiomics model for predicting immunotherapy response in advanced NSCLC

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An Ultrasound Radiomics Model for the Early Diagnosis of Cervical Cancer

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Contributions of radiomics in ¹⁸F-FDG PET/CT and in MRI in breast cancer

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Integrating tumor habitat heterogeneity with a hybrid deep learning architecture for ultrasound radiomics: a dual-center study on non-invasive prediction of PD-L1 expression in triple-negative breast cancer

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Habitat-based radiomics-clinical analysis for early prediction of bladder cancer recurrence: a retrospective cohort study

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Malignancy Prediction of Breast Lesion with Calcifications via Radiomics Analysis Based on Intratumoral and Peritumoral Regions of Ultrasound Images

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Explainable 1-mm Peritumoral CT Radiomics for EGFR Mutation Prediction in Non-small Cell Lung Cancer: A Vietnamese Real-World Cohort Study

Le, M. N., Nguyen, T. M., Ngô, L. L., Le, T. D., Nguyen, D. A., Nguyen, N., Dinh, H., Le, N., Bùi, T. T. N., & Bui, T. O. (2026) · Cancer Control: Journal of the Moffitt Cancer Cente · doi:10.1177/10732748261455532

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Differentiation of Pathologically Distinct Intracranial Tumors Using SAGE-Based Habitat Analysis: A Multicenter Study

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HR-VWI Radiomics for Predicting 1-Year Adverse Events in Symptomatic ICAS: A Comparison of Plaque-Only and Integrated Plaque-Vessel Models

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DCE-MRI-derived peritumoral and habitat radiomics for preoperative prediction of p53-abnormal endometrial cancer: a dual-center retrospective study with external validationPreprint

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Bridging Spatial Scales From Radiographic Images to Cellular and Molecular Properties in Cancers

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