All Stories

  1. Ethical Considerations and Fairness in the Use of Artificial Intelligence for Neuroradiology

    Article • American Journal of Neuroradiology, August 2023, American Society of Neuroradiology (ASNR)

    Dr Spyridon Bakas

  2. Association of partial T2-FLAIR mismatch sign and isocitrate dehydrogenase mutation in WHO grade 4 gliomas: results from the ReSPOND consortium

    Article • Neuroradiology, July 2023, Springer Science + Business Media

    Dr Spyridon Bakas

  3. Within-Modality Synthesis and Novel Radiomic Evaluation of Brain MRI Scans

    Article • Cancers, July 2023, MDPI AG

    Dr Spyridon Bakas

  4. CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII

    Article • Insights into Imaging, May 2023, Springer Science + Business Media

    Dr Spyridon Bakas

  5. Leveraging 2D Deep Learning ImageNet-trained Models for Native 3D Medical Image Analysis

    Article • January 2023, Springer Science + Business Media

    Dr Spyridon Bakas

  6. The University of California San Francisco Preoperative Diffuse Glioma MRI Dataset

    Article • Radiology Artificial Intelligence, November 2022, Radiological Society of North America (RSNA)

    Dr Spyridon Bakas

  7. The University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics

    Article • Scientific Data, July 2022, Springer Science + Business Media

    Dr Spyridon Bakas

  8. The Medical Segmentation Decathlon

    Article • Nature Communications, July 2022, Springer Science + Business Media

    Dr Spyridon Bakas, Dr Annette Kopp-Schneider

  9. Enhancing the REMBRANDT MRI collection with expert segmentation labels and quantitative radiomic features

    Article • Scientific Data, June 2022, Springer Science + Business Media

    Dr Spyridon Bakas

  10. Classification of Infection and Ischemia in Diabetic Foot Ulcers Using VGG Architectures

    Article • January 2022, Springer Science + Business Media

    Dr Spyridon Bakas

  11. Optimization of Deep Learning Based Brain Extraction in MRI for Low Resource Environments

    Article • January 2022, Springer Science + Business Media

    Dr Spyridon Bakas

  12. Quantifying T2-FLAIR Mismatch Using Geographically Weighted Regression and Predicting Molecular Status in Lower-Grade Gliomas

    Article • American Journal of Neuroradiology, November 2021, American Society of Neuroradiology (ASNR)

    Dr Spyridon Bakas

  13. Interactive Machine Learning-Based Multi-Label Segmentation of Solid Tumors and Organs

    Article • Applied Sciences, August 2021, MDPI AG

    Dr Spyridon Bakas

  14. Accurate and Robust Alignment of Differently Stained Histologic Images Based on Greedy Diffeomorphic Registration

    Article • Applied Sciences, February 2021, MDPI AG

    Dr Spyridon Bakas

  15. iGLASS: imaging integration into the Glioma Longitudinal Analysis Consortium

    Article • Neuro-Oncology, October 2020, Oxford University Press (OUP)

    Dr Spyridon Bakas

  16. ANHIR: Automatic Non-Rigid Histological Image Registration Challenge

    Article • IEEE Transactions on Medical Imaging, October 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Spyridon Bakas

  17. The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping

    Article • Radiology, May 2020, Radiological Society of North America (RSNA)

    Dr Spyridon Bakas

  18. Longitudinal brain tumor segmentation prediction in MRI using feature and label fusion

    Article • Biomedical Signal Processing and Control, January 2020, Elsevier

    Dr Spyridon Bakas

  19. Skull-Stripping of Glioblastoma MRI Scans Using 3D Deep Learning

    Article • January 2020, Springer Science + Business Media

    Dr Spyridon Bakas

  20. Towards Population-Based Histologic Stain Normalization of Glioblastoma

    Article • January 2020, Springer Science + Business Media

    Dr Spyridon Bakas

  21. Precision diagnostics based on machine learning-derived imaging signatures

    Article • Magnetic Resonance Imaging, December 2019, Elsevier

    Dr Spyridon Bakas

  22. Imaging signatures of glioblastoma molecular characteristics: A radiogenomics review

    Article • Journal of Magnetic Resonance Imaging, August 2019, Wiley

    Dr Spyridon Bakas

  23. Computational staining of unlabelled tissue

    Article • Nature Biomedical Engineering, June 2019, Springer Science + Business Media

    Dr Spyridon Bakas

  24. Evaluation of Indirect Methods for Motion Compensation in 2-D Focal Liver Lesion Contrast-Enhanced Ultrasound (CEUS) Imaging

    Article • Ultrasound in Medicine & Biology, June 2019, Elsevier

    Dr Spyridon Bakas

  25. Multi-stage Association Analysis of Glioblastoma Gene Expressions with Texture and Spatial Patterns

    Article • January 2019, Springer Science + Business Media

    Samar Salah Mohamedahmed Elsheikh, Dr. Alessandro Crimi, Dr Spyridon Bakas

  26. Multi-institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation

    Article • January 2019, Springer Science + Business Media

    Dr Spyridon Bakas

  27. Automatic Identification of the Optimal Reference Frame for Segmentation and Quantification of Focal Liver Lesions in Contrast-Enhanced Ultrasound

    Article • Ultrasound in Medicine & Biology, October 2017, Elsevier

    Dr Spyridon Bakas

  28. Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features

    Article • Scientific Data, September 2017, Springer Science + Business Media

    Dr Spyridon Bakas

  29. Advanced magnetic resonance imaging in glioblastoma: a review

    Article • Chinese Clinical Oncology, August 2017, AME Publishing Company

    Prof. Gopal Shukla, Dr Spyridon Bakas

  30. In Vivo Detection of EGFRvIII in Glioblastoma via Perfusion Magnetic Resonance Imaging Signature Consistent with Deep Peritumoral Infiltration: The φ -Index

    Article • Clinical Cancer Research, April 2017, American Association for Cancer Research (AACR)

    Saima Rathore, Dr Spyridon Bakas

  31. Correlations of atrial diameter and frontooccipital horn ratio with ventricle size in fetal ventriculomegaly

    Article • Journal of Neurosurgery Pediatrics, March 2017, Journal of Neurosurgery Publishing Group (JNSPG)

    Gregory Heuer, Dr Spyridon Bakas

  32. Segmentation of Gliomas in Pre-operative and Post-operative Multimodal Magnetic Resonance Imaging Volumes Based on a Hybrid Generative-Discriminative Framework

    Article • January 2016, Springer Science + Business Media

    Saima Rathore, Dr Spyridon Bakas

  33. Brain Lesions, Introduction

    Article • January 2016, Springer Science + Business Media

    Dr. Alessandro Crimi, Dr Spyridon Bakas

  34. Fast semi-automatic segmentation of focal liver lesions in contrast-enhanced ultrasound, based on a probabilistic model

    Article • Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization, May 2015, Taylor & Francis

    Dr Spyridon Bakas

  35. Making the Best Use of Fifty (or More) Shades of Gray: Intelligent Contrast Optimisation for Image Segmentation in False-Colour Video

    Article • June 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Spyridon Bakas

  36. Automatic Identification and Localisation of Potential Malignancies in Contrast-Enhanced Ultrasound Liver Scans Using Spatio-Temporal Features

    Article • January 2014, Springer Science + Business Media

    Dr Spyridon Bakas

  37. Spot the Best Frame: Towards Intelligent Automated Selection of the Optimal Frame for Initialisation of Focal Liver Lesion Candidates in Contrast-Enhanced Ultrasound Video Sequences

    Article • July 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Spyridon Bakas

  38. Focal Liver Lesion Tracking in CEUS for Characterisation Based on Dynamic Behaviour

    Article • January 2012, Springer Science + Business Media

    Dr Spyridon Bakas