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Search results (202)

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Enhancing Liver Fibrosis Measurement: Deep Learning and Uncertainty Analysis Across Multi-Centre Cohorts

Wojciechowska M. et al, (2026), Journal of Pathology Informatics

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors.

Xu Z. et al, (2026), IEEE transactions on medical imaging, PP

Chemo-prAIdict Breast: A deep learning solution for predicting residual disease on biopsies of breast cancer patients treated with neoadjuvant chemotherapy.

Valderrama NF. et al, (2026), European journal of cancer (Oxford, England : 1990), 234

Toward Integration of Molecular Measures and Artificial Intelligence-Based Assessments With Clinical End Points in Inflammatory Bowel Disease.

Reinisch W. et al, (2026), Gastroenterology

Harness Behavioural Analysis for Unpacking the Bio-Interpretability of Pathology Foundation Models

Hu Y. et al, (2026)

Unsupervised Discovery of Spatiotypes and Context-Aware Graph Neural Networks for Modeling Clinical Endpoints

Dawood M. et al, (2026), 15970 LNCS, 603 - 612

CtrlEndoDiff: Diffusion-Based Synthetic Image Generation for Enhanced ACF Segmentation

Albokhari R. et al, (2026), 16128 LNCS, 319 - 329

Redefining the topology of the human bone marrow using augmented spatial transcriptomic analysis

Cooper RA. et al, (2025)

Decoding Fibrosis: Transcriptomic and Clinical Insights via AI-Derived Collagen Deposition Phenotypes in MASLD

Wojciechowska M. et al, (2025)

Synergies Among Clinicians, Academia, and Industry in the Age of Artificial Intelligence.

Byrne MF. et al, (2025), Gastroenterology, 169, 531 - 544

Delineating Mpl-dependent and -independent phenotypes of Jak2 V617F-positive MPNs in vivo.

Papadopoulos N. et al, (2025), Blood, 146, 482 - 495

MSP-tracker: A versatile vesicle tracking software tool used to reveal the spatial control of polarized secretion in Drosophila epithelial cells.

Richens JH. et al, (2025), PLoS biology, 23

Reticulin-Free Quantitation of Bone Marrow Fibrosis in MPNs: Utility and Applications.

Ryou H. et al, (2025), EJHaem, 6

Self-interactive learning: Fusion and evolution of multi-scale histomorphology features for molecular traits prediction in computational pathology.

Hu Y. et al, (2025), Medical image analysis, 101

Editorial for Special Issue on Foundation Models for Medical Image Analysis.

Wang X. et al, (2025), Medical image analysis, 100

Tumour purity assessment with deep learning in colorectal cancer and impact on molecular analysis.

Schoenpflug LA. et al, (2025), The Journal of pathology, 265, 184 - 197

Enhancing Liver Fibrosis Measurement: Deep Learning and Uncertainty Analysis Across Multi-Centre Cohorts

Wojciechowska M. et al, (2025)

Toward precision pathology: Deep learning supported fibrosis grading augments performance of international hematopathologists in a large real-world cohort

Ebsworth T. et al, (2025), BLOOD, 146, 4335 - 4336

SSL-CPCD: Self-Supervised Learning With Composite Pretext-Class Discrimination for Improved Generalisability in Endoscopic Image Analysis.

Xu Z. et al, (2024), IEEE transactions on medical imaging, 43, 4105 - 4119

Tumor NOS2 and COX2 Spatial Juxtaposition with CD8+ T Cells Promote Metastatic and Cancer Stem Cell Niches that Lead to Poor Outcome in ER- Breast Cancer.

Ridnour LA. et al, (2024), Cancer research communications, 4, 2766 - 2782

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