| Innovations in Deep Learning to Predict Individual Risk and Treatment Outcome | Georg Langs | RSNA | Jun-23 | 10.1148/radiol.231116 |
| Deep learning for predicting future lesion emergence in high-risk breast MRI screening: a feasibility study | Burger, et al. | Springer Nature | Jun-23 | 10.1186/s41747-023-00343-y |
| Combining Deep Learning and Handcrafted Radiomics for Classification of Suspicious Lesions on Contrast-enhanced Mammograms | P. L. Beuque, et al. | Radiology | Jun-23 | 10.1148/radiol.221843 |
| Deep Learning of Multimodal Ultrasound: Stratifying the Response to Neoadjuvant Chemotherapy in Breast Cancer Before Treatment | Gu, et al. | The Oncologist | Sept-23 | 10.1093/oncolo/oyad227 |
| Interpretability-Guided Data Augmentation for Robust Segmentation in Multi-centre Colonoscopy Data | Valentina Corbetta, Regina Beets-Tan, Wilson Silva | Machine Learning in Medical Imaging | Oct-23 | 10.1007/978-3-031-45673-2_33 |
Radiomic features define risk and are linked to DNA
methylation attributes in primary CNS lymphoma | Nenning, et al. | Neuro-Oncology Advances | Oct-23 | 10.1093/noajnl/vdad136 |
| Robot-assisted implantation of a microelectrode array in the occipital lobe as a visual prosthesis: technical note | Rocca, et al. | Journal of Neurosurgery | Oct-23 | 10.3171/2023.8.JNS23772 |
| An Interpretable Radiomics Model Based on Two-Dimensional Shear Wave Elastography for Predicting Symptomatic Post-Hepatectomy Liver Failure in Patients with Hepatocellular Carcinoma | Zhong, et al. | Cancers | Nov-23 | 10.3390/cancers15215303 |
| A Biobanking System for Diagnostic Images: Architecture Development, COVID-19–Related Use Cases, and Performance Evaluation | Esposito, et al. | JMIR | Dec-23 | 10.2196/42505 |
| UNCAN.eu: Toward a European Federated Cancer Research Data Hub | Boutros, et al. | Cancer Discovery | Jan-24 | 10.1158/2159-8290.CD-23-1111 |
| Machine Learning-Based Whole Gland Radiomics Analysis for Prostate Cancer Classification | Dimitris Filos; Dimitris Fotopoulos; Maria Anastasia Rouni; Ioanna Chouvarda | 2024 IEEE International Symposium on Biomedical Imaging (ISBI) | Aug-24 | 10.1109/ISBI56570.2024.10635588 |
| Deep learning links localized digital pathology phenotypes with transcriptional subtype and patient outcome in glioblastoma | Roetzer-Pejrimovsky, et al. | Giga science | Aug-24 | 10.1093/gigascience/giae057 |
| From Syntactic to Semantic Interoperability Using a Hyperontology in the Oncology Domain | El Ghosh, et al. | HAL open science | Sept-24 | 10.3233/SHTI240670 |
| Toward Ensuring Data Quality in Multi-Site Cancer Imaging Repositories | Kosvyra, et al. | Information | Sept-24 | 10.3390/info15090533 |
| Evaluating the Fairness of Neural Collapse in Medical Image Classification | Kaouther Mouheb, Marawan Elbatel, Stefan Klein & Esther E. Bron | Springer Nature | Oct-24 | 10.1007/978-3-031-72117-5_27 |
| FISHing in Uncertainty: Synthetic Contrastive Learning for Genetic Aberration Detection | Simon Gutwein, Martin Kampel, Sabine Taschner-Mandl & Roxane Licandro | Springer Nature | Oct-24 | 10.1007/978-3-031-73158-7_3 |
| Transforming experimental radiology: Design and implementation of an innovative ePACS image storage system for AI imaging research environments | Gómez-Rico Junquero, et al. | International Journal of Medical Informatics | Oct-24 | 10.1016/j.ijmedinf.2024.105549 |
| An automated toolbox for microcalcification cluster modeling for mammographic imaging | Van Camp, et al. | Medical Physics | Nov-24 | 10.1002/mp.17521 |
| Adult Glioma Segmentation in Sub-Saharan Africa using Transfer Learning on Stratified Finetuning Data | Parida, et al. | arxiv | Dec-24 | 10.48550/arXiv.2412.04111 |
| Magnetic Resonance Imaging Feature-Based Subtyping and Model Ensemble for Enhanced Brain Tumor Segmentation | Jiang, et al. | arxiv | Dec-24 | 10.48550/arXiv.2412.0409 |
| AI drives the assessment of lung cancer microenvironment composition | Gallo, et al. | Journal of Pathology Informatics | Dec-24 | 10.1016/j.jpi.2024.100400 |
| Pushing the boundaries of radiotherapy-immunotherapy combinations: highlights from the 7th immunorad conference | Laurent, et al. | OncoImmunology | Dec-24 | 10.1080/2162402X.2024.2432726 |
| Current State of Community-Driven Radiological AI Deployment in Medical Imaging | Gupta, et al. | JMIR | Dec-24 | 10.2196/55833 |
| End-to-end machine learning based discrimination of neoplastic and non-neoplastic intracerebral hemorrhage on computed tomography | Tan, et al. | Science Direct | Jan-25 | 10.1016/j.imu.2025.101633 |
| Analyzing the TotalSegmentator for facial feature removal in head CT scans | Lindholz, et al. | Radiography | Jan-25 | 10.1016/j.radi.2024.12.018 |
| Differences in technical and clinical perspectives on AI validation in cancer imaging: mind the gap! | Chouvarda, et al. | European Radiology Experimental | Jan-25 | 10.1186/s41747-024-00543-0 |
| Empowering cancer research in Europe: the EUCAIM cancer imaging infrastructure | Martí-Bonmatí, et al. | Springer Nature | Feb-25 | 10.1186/s13244-025-01913-x |
| Radiomics in Dermatological Optical Coherence Tomography (OCT): Feature Repeatability, Reproducibility, and Integration into Diagnostic Models in a Prospective Study | Widaatalla, et al. | Cancers | Feb-25 | 10.3390/cancers17050768 |
| FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare | Lekadir, et al. | The bmj | Feb-25 | 10.1136/bmj-2024-081554 |
| Improving Patient Engagement in Phase 2 Clinical Trials with a Trial-specific Patient Decision Aid (tPDA): A Development and Usability Study | Halilaj, et al. | medRxiv | Feb-25 | 10.1101/2025.02.25.25322591 |
| Impact of synthetic data on training a deep learning model for lesion detection and classification in contrast-enhanced mammography | Van Camp, et al. | Spie Digital Library | Apr-25 | 10.1117/1.JMI.12.S2.S22006 |
| Controllable Latent Diffusion-Based 3D Brain Tumor Segmentation: With Synthetic Label Generation and Detailed Variance Map | Parida, et al. | 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI) | May-25 | 10.1109/ISBI60581.2025.10981256 |
| Laplace Sample Information: Data Informativeness Through a Bayesian Lens | Johannes Kaiser, Kristian Schwethelm, Daniel Rueckert, Georgios Kaissis | Arxiv | May-25 | 10.48550/arXiv.2505.15303 |
| Explainable Anatomy-Guided AI for Prostate MRI: Foundation Models and In Silico Clinical Trials for Virtual Biopsy-based Risk Assessment | Khan, et al. | arxiv | May-25 | 10.48550/arXiv.2505.17971 |
| A Foundation Model Framework for Multi-View MRI Classification of Extramural Vascular Invasion and Mesorectal Fascia Invasion in Rectal Cancer | Zhang, et al. | arxiv | May-25 | 10.48550/arXiv.2505.18058 |
| Pixels to Prognosis: Harmonized Multi-Region CT-Radiomics and Foundation-Model Signatures Across Multicentre NSCLC Data | Atul Mali, et al. | arXiv | May-25 | 10.48550/arXiv.2505.17893 |
| The Challenge of Data Scarcity and Imbalanced Classes in Radiomics Performance | Rodriguez-Belenguer, et al. | SSRN | Jun-25 | 10.2139/ssrn.5281759 |
| Deep learning enabled near-isotropic CAIPIRINHA VIBE in the nephrogenic phase improves image quality and renal lesion conspicuity | Tan, et al. | Science Direct | Jun-25 | 10.1016/j.ejro.2024.100622 |
| Comparison of Multiple State-of-the-Art Large Language Models for Patient Education Prior to CT and MRI Examinations | Eminovic, et al. | Personilized Medicine | Jun-25 | 10.3390/jpm15060235 |
| Texture Preserving Deep Learning-based Noise Reduction for Anatomical Magnetic Resonance Images and Its Impact on Imaging Features | Trivizakis, et al. | IEEE | Jun-25 | 10.1109/SACI66288.2025.11030174 |
| Soft Annotations versus Pixel-based Segmentation Masks of Prostate Anatomies: The Effect of Annotation Type on Radiomics | Trivizakis, et al. | Annual International Conference of the IEEE Engeneering in Medicine and Biology Society | Jul-25 | 10.1109/EMBC58623.2025.11253440 |
| Integrated Diagnostics: Embracing Artificial Intelligence and, Above All, Multidisciplinary Teamwork | Hedvig Hricak, Georg Langs | Radiology | Jul-25 | 10.1148/radiol.241087 |
| Unveiling key pathomic features for automated diagnosis and Gleason grade estimation in prostate cancer | Brancato, et al. | Springer Nature | Jul-25 | 10.1186/s12880-025-01841-8 |
| An Explainable AI Exploration of the Machine Learning Classification of Neoplastic Intracerebral Hemorrhage from Non-Contrast CT | Schulze-Weddige, et al. | Cancers | Jul-25 | 10.3390/cancers17152502 |
| Patient-specific visco-hyperelastic mechanical model for breast tumor localization in surgical planning | Alfano, et al. | Bioengineering & Translational Medicine | Jul-25 | 10.1002/btm2.70044 |
| Improving Patient Engagement in Phase 2 Clinical Trials With a Trial-Specific Patient Decision Aid: Development and Usability Study | Halilaj, et al. | Bioengineering & Translational Medicine | Jul-25 | 10.2196/71817 |
| Unveiling key pathomic features for automated diagnosis and Gleason grade estimation in prostate cancer | Brancato, et al. | BMC Med Imaging | Jul-25 | 10.1186/s12880-025-01841-8 |
| Semantic Mosaicing of Histo-Pathology Image Fragments using Visual Foundation Models | Brandstätter, et al. | Semantic Stitcher | Aug-25 | 10.48550/arXiv.2508.03524 |
| Predicting Homologous Recombination Deficiency and Treatment Responses Using a Computed Tomography-Based Foundation Model: A Preclinical Study | Kuang, et al. | SSRN | Aug-25 | 10.2139/ssrn.5381282 |
| AREPAS: Anomaly Detection in Fine-Grained Anatomy with Reconstruction-Based Semantic Patch-Scoring | Branko Mitic, Philipp Seeböck, Helmut Prosch, Georg Langs | arxiv | Sept-25 | 10.48550/arXiv.2509.12905 |
| No Modality Left Behind: Dynamic Model Generation for Incomplete Medical Data | Fürböck, et al. | arxiv | Sept-25 | 10.48550/arXiv.2509.11406 |
| Multi-Head Attention Multiple Instance Learning Deep Neural Classifier Enhanced with Model Uncertainty Quantification | Jakub Buler, Rafał Buler, Krystian Brzozowski, Michał Grochowski | 2025 29th International Conference on Methods and Models in Automation and Robotics (MMAR) | Sept-25 | 10.1109/MMAR65820.2025.11150993 |
| Comprehensive Quantitative Evaluation of the Performance and Trustworthiness of Deep Learning Models - Skin Lesion Classification Case Study | Krystian Brzozowski, Jakub Buler, Rafał Buler, Michał Grochowski | International Conference on Methods and Models in Automation and Robotics (MMAR) | Sept-25 | 10.1109/MMAR65820.2025.11151064 |
| Spatio-temporal deep learning with temporal attention for indeterminate lung nodule classification | Farina, et al. | Computers in Biology and Medicine | Sept-25 | 10.1016/j.compbiomed.2025.110813 |
| UteroVAE: A Shape-Informed Variational Autoencoder for Uterine MRI Encoding in Adenomyosis, Fibroids, and Healthy Uteri | Ruppel, et al. | Spring Nature | Sept-25 | 10.1007/978-3-032-05825-6_7 |
| LesiOnTime - Joint Temporal and Clinical Modeling for Small Breast Lesion Segmentation in Longitudinal DCE-MRI | Kamran, et al. | arxiv | Sept-25 | 10.1007/978-3-032-05559-0_33 |
| LesiOnTime - Joint Temporal and Clinical Modeling for Small Breast Lesion Segmentation in Longitudinal DCE-MRI | Kamran, et al. | Springer | Sept-25 | 10.1007/978-3-032-05559-0_33 |
| Digital Health and Well-being | Penadés Blasco, et al. | European Commission | Oct-25 | 10.12688/openreseurope.21016.1 |
| Large language models for patient education prior to interventional radiology procedures: a comparative study | Levita, et al. | Springer Nature | Oct-25 | 10.1186/s42155-025-00609-z |
| Semantic Representation of Preclinical Data in Radiation Oncology | Giraldo, et al. | Research Square | Nov-25 | 10.21203/rs.3.rs-5373454.v1 |
| Radiocytogenetics in Multiple Myeloma: Predicting Cytogenetic Aberrations from WBCT Imaging Features | Trivizakis, et al. | Research Gate | Dec-25 | 10.1109/SACI66288.2025.11030160 |
| Label-Free Machine Learning-Based Segmentation of Whole-Body Bone Marrow Imaging in Multiple Myeloma | Koutoulakis, et al. | Research Gate | Dec-25 | 10.1109/SACI66288.2025.11030097 |
