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Publication search results
found 32 matches
- 2023
- Mara Graziani, Lidia Dutkiewicz, Davide Calvaresi, José Pereira Amorim, Katerina Yordanova, Mor Vered, Rahul Nair, Pedro Henriques Abreu, Tobias Blanke, Valeria Pulignano, John O. Prior, Lode Lauwaert, Wessel Reijers, Adrien Depeursinge, Vincent Andrearczyk, Henning Müller:
A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciences. Artif. Intell. Rev. 56(4): 3473-3504 (2023) - Laura O'Mahony, Vincent Andrearczyk, Henning Müller, Mara Graziani:
Disentangling Neuron Representations with Concept Vectors. CVPR Workshops 2023: 3770-3775 - Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Henning Müller, Mark J. F. Gales, Cristina Granziera, Mara Graziani, Meritxell Bach Cuadra:
Novel Structural-Scale Uncertainty Measures and Error Retention Curves: Application to Multiple Sclerosis. ISBI 2023: 1-5 - Vatsal Raina, Nataliia Molchanova, Mara Graziani, Andrey Malinin, Henning Müller, Meritxell Bach Cuadra, Mark J. F. Gales:
Tackling Bias in the Dice Similarity Coefficient: Introducing NDSC for White Matter Lesion Segmentation. ISBI 2023: 1-5 - Vatsal Raina, Nataliia Molchanova, Mara Graziani, Andrey Malinin, Henning Müller, Meritxell Bach Cuadra, Mark J. F. Gales:
Tackling Bias in the Dice Similarity Coefficient: Introducing nDSC for White Matter Lesion Segmentation. CoRR abs/2302.05432 (2023) - Omar S. M. El Nahhas, Chiara Maria Lavinia Loeffler, Zunamys I. Carrero, Marko van Treeck, Fiona R. Kolbinger, Katherine Jane Hewitt, Hannah Sophie Muti, Mara Graziani, Qinghe Zeng, Julien Calderaro, Nadina Ortiz-Brüchle, Tanwei Yuan, Michael Hoffmeister, Hermann Brenner, Alexander Brobeil, Jorge S. Reis-Filho, Jakob Nikolas Kather:
Regression-based Deep-Learning predicts molecular biomarkers from pathology slides. CoRR abs/2304.05153 (2023) - Laura O'Mahony, Vincent Andrearczyk, Henning Müller, Mara Graziani:
Disentangling Neuron Representations with Concept Vectors. CoRR abs/2304.09707 (2023) - Mara Graziani, Laura O'Mahony, An-Phi Nguyen, Henning Müller, Vincent Andrearczyk:
Uncovering Unique Concept Vectors through Latent Space Decomposition. CoRR abs/2307.06913 (2023) - Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Adrien Depeursinge, Mark J. F. Gales, Cristina Granziera, Henning Müller, Mara Graziani, Meritxell Bach Cuadra:
Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion Segmentation. CoRR abs/2311.08931 (2023) - 2022
- Emanuele Ferrentino, Ferdinando Nunziata, Christian Bignami, Laura Graziani, Alessandra Maramai, Maurizio Migliaccio, Salvatore Stramondo:
On the Combination of Dual-Polarization Sentinel-1 Ascending/Descending Orbiting Passes to Estimate Damage Due to the 2016 Central Italy Earthquake. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 9509-9518 (2022) - Mara Graziani, Niccolò Marini, Nicolas Deutschmann, Nikita Janakarajan, Henning Müller, María Rodríguez Martínez:
Attention-Based Interpretable Regression of Gene Expression in Histology. iMIMIC@MICCAI 2022: 44-60 - Andrey Malinin, Andreas Athanasopoulos, Muhamed Barakovic, Meritxell Bach Cuadra, Mark J. F. Gales, Cristina Granziera, Mara Graziani, Nikolay Kartashev, Konstantinos Kyriakopoulos, Po-Jui Lu, Nataliia Molchanova, Antonis Nikitakis, Vatsal Raina, Francesco La Rosa, Eli Sivena, Vasileios Tsarsitalidis, Efi Tsompopoulou, Elena Volf:
Shifts 2.0: Extending The Dataset of Real Distributional Shifts. CoRR abs/2206.15407 (2022) - Mara Graziani, Niccolò Marini, Nicolas Deutschmann, Nikita Janakarajan, Henning Müller, María Rodríguez Martínez:
Attention-based Interpretable Regression of Gene Expression in Histology. CoRR abs/2208.13776 (2022) - Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Henning Müller, Mark J. F. Gales, Cristina Granziera, Mara Graziani, Meritxell Bach Cuadra:
Novel structural-scale uncertainty measures and error retention curves: application to multiple sclerosis. CoRR abs/2211.04825 (2022) - 2021
- Mara Graziani:
Interpretability of Deep Learning for Medical Image Classification: Improved Understandability and Generalization. University of Geneva, Switzerland, 2021 - Mara Graziani, Thomas Lompech, Henning Müller, Adrien Depeursinge, Vincent Andrearczyk:
On the Scale Invariance in State of the Art CNNs Trained on ImageNet. Mach. Learn. Knowl. Extr. 3(2): 374-391 (2021) - Emanuele Ferrentino, Ferdinando Nunziata, Christian Bignami, Laura Graziani, Alessandra Maramai, Maurizio Migliaccio:
Earthquake Damage Assessment Using C-Band Polsar Measurements and Ground Surveys. IGARSS 2021: 6383-6386 - Mara Graziani, Iam Palatnik de Sousa, Marley M. B. R. Vellasco, Eduardo Costa da Silva, Henning Müller, Vincent Andrearczyk:
Sharpening Local Interpretable Model-Agnostic Explanations for Histopathology: Improved Understandability and Reliability. MICCAI (3) 2021: 540-549 - 2020
- Martin Bobák, Ladislav Hluchý, Ondrej Habala, Viet D. Tran, Reginald Cushing, Onno Valkering, Adam Belloum, Mara Graziani, Henning Müller, Souley Madougou, Jason Maassen:
Reference Exascale Architecture (Extended Version). Comput. Informatics 39(4): 644-677 (2020) - Reginald Cushing, Onno Valkering, Adam Belloum, Souley Madougou, Jason Maassen, Martin Bobák, Ondrej Habala, Viet D. Tran, Jan Meizner, Piotr Nowakowski, Mara Graziani, Henning Müller:
PROCESS Data Infrastructure and Data Services. Comput. Informatics 39(4): 724-756 (2020) - Mara Graziani, Ivan Eggel, François Deligand, Martin Bobák, Vincent Andrearczyk, Henning Müller:
Breast Histopathology with High-Performance Computing and Deep Learning. Comput. Informatics 39(4): 780-807 (2020) - Mara Graziani, Vincent Andrearczyk, Stéphane Marchand-Maillet, Henning Müller:
Concept attribution: Explaining CNN decisions to physicians. Comput. Biol. Medicine 123: 103865 (2020) - Mara Graziani, Thomas Lompech, Henning Müller, Adrien Depeursinge, Vincent Andrearczyk:
Interpretable CNN Pruning for Preserving Scale-Covariant Features in Medical Imaging. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 23-32 - Mara Graziani, Sebastian Otálora, Henning Müller, Vincent Andrearczyk:
Guiding CNNs towards Relevant Concepts by Multi-task and Adversarial Learning. CoRR abs/2008.01478 (2020) - 2019
- Martin Bobák, Balázs Somosköi, Mara Graziani, Matti Heikkurinen, Maximilian Höb, Jan Schmidt, Ladislav Hluchý, Adam Belloum, Reginald Cushing, Jan Meizner, Piotr Nowakowski, Viet D. Tran, Ondrej Habala, Jason Maassen:
Reference Exascale Architecture. eScience 2019: 479-487 - Mara Graziani, Henning Müller, Vincent Andrearczyk:
Interpreting Intentionally Flawed Models with Linear Probes. ICCV Workshops 2019: 743-747 - Mara Graziani, James M. Brown, Vincent Andrearczyk, Veysi Yildiz, J. Peter Campbell, Deniz Erdogmus, Stratis Ioannidis, Michael F. Chiang, Jayashree Kalpathy-Cramer, Henning Müller:
Improved interpretability for computer-aided severity assessment of retinopathy of prematurity. Medical Imaging: Computer-Aided Diagnosis 2019: 109501R - Mara Graziani, Vincent Andrearczyk, Henning Müller:
Regression Concept Vectors for Bidirectional Explanations in Histopathology. CoRR abs/1904.04520 (2019) - 2018
- Mara Graziani, Vincent Andrearczyk, Henning Müller:
Regression Concept Vectors for Bidirectional Explanations in Histopathology. MLCN/DLF/iMIMIC@MICCAI 2018: 124-132 - 2017
- Francesca Giordaniello, Matteo Cognolato, Mara Graziani, Arjan Gijsberts, Valentina Gregori, Gianluca Saetta, Anne-Gabrielle Mittaz Hager, Cesare Tiengo, Franco Bassetto, Peter C. Brugger, Barbara Caputo, Henning Müller, Manfredo Atzori:
Megane Pro: Myo-electricity, visual and gaze tracking data acquisitions to improve hand prosthetics. ICORR 2017: 1148-1153
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