| Shifts 2.0: Extending the dataset of real distributional shifts A Malinin, A Athanasopoulos, M Barakovic, MB Cuadra, MJF Gales, ... arXiv preprint arXiv:2206.15407, 2022 | 16 | 2022 |
| Novel structural-scale uncertainty measures and error retention curves: application to multiple sclerosis N Molchanova, V Raina, A Malinin, F La Rosa, H Muller, M Gales, ... 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 4 | 2023 |
| Tackling bias in the dice similarity coefficient: Introducing nDSC for white matter lesion segmentation V Raina, N Molchanova, M Graziani, A Malinin, H Muller, MB Cuadra, ... 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 3 | 2023 |
| Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion Segmentation N Molchanova, V Raina, A Malinin, F La Rosa, A Depeursinge, M Gales, ... arXiv preprint arXiv:2311.08931, 2023 | | 2023 |
| The Normalised Dice Similarity Coefficient for Multiple Sclerosis: tackling lesion load biases in white matter and cortical lesion segmentation V Raina, N Molchanova, M Graziani, A Malinin, PJ Lu, M Weigel, H Muller, ... MULTIPLE SCLEROSIS JOURNAL 29, 925-926, 2023 | | 2023 |
| FLAWS against flaws: Improving Automated Cortical Lesion Segmentation PM Gordaliza, J Muller, C Tsagkas, R Rahmanzadeh, N Molchanova, ... MULTIPLE SCLEROSIS JOURNAL 29, 921-921, 2023 | | 2023 |
| Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency N Molchanova, B Maréchal, JP Thiran, T Kober, T Huelnhagen, ... arXiv preprint arXiv:2305.16922, 2023 | | 2023 |
| FLAIR vs MPRAGE contribution to white matter lesion automatic segmentation in MS using localized saliency maps F Spagnolo, R Schaer, V Andrearczyk, N Molchanova, M Graziani, ... Proceedings of BIAS 2023, 2023 | | 2023 |
| Identification of paramagnetic rim lesions using conventional MRI: a deep learning approach F Spagnolo, A Depeursinge, V Andrearczyk, P Benkert, S Müller, ... Multiple Sclerosis Journal 29, pp. 327-329, 2023 | | 2023 |
| Streamline RimNet: a deep learning classification of paramagnetic rim lesions J Najm, PM Gordaliza, M Wynen, C Vanden Bulcke, A Stolting, ... Multiple Sclerosis Journal 29, pp. 330-331, 2023 | | 2023 |
| Deep learning uncertainty quantification of cortical lesions in MP2RAGE for missed lesions discovery N Molchanova, A Cagol, M Ocampo-Pineda, X Chen, M Weigel, ... Multiple Sclerosis Journal 29, p. 918, 2023 | | 2023 |
| Towards informative uncertainty measures for MRI segmentation in clinical practice: application to multiple sclerosis N Molchanova, V Raina, F La Rosa, A Malinin, H Müller, M Gales, ... Proceedings of the 2023 ISMRM & ISMRT Annual Meeting & Exhibition, 2023 | | 2023 |
| Streamline RimNet: Tools for Automatic Classification of Paramagnetic Rim Lesions in MRI of Multiple Sclerosis J Najm, P Macias Gordaliza, G Barquero, F La Rosa, N Molchanova, ... EPFL Infoscience, 2023 | | 2023 |
| Preserving Privacy While Maintaining Consistent Postprocessing Results: Fast and Effective Anonymous Refacing using a 3D cGAN N Molchanova, B Maréchal, JP Thiran, T Kober, J Richiardi, ... | | |
