Mara Graziani

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 29

Top Topics

Multiple Sclerosis

Drosophila Melanogaster

Top Venues

Comput. Informatics

Publications

Laura O'Mahony, Vincent Andrearczyk, Henning Müller, Mara Graziani
Disentangling Neuron Representations with Concept Vectors. CVPR Workshops (2023)
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 (2023)
Laura O'Mahony, Vincent Andrearczyk, Henning Müller, Mara Graziani
Disentangling Neuron Representations with Concept Vectors. CoRR (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 (2023)
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)
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)
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 (2023)
Mara Graziani, Laura O'Mahony, An-Phi Nguyen, Henning Müller, Vincent Andrearczyk
Uncovering Unique Concept Vectors through Latent Space Decomposition. Trans. Mach. Learn. Res. 2023 (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) (2023)
Mara Graziani, Laura O'Mahony, An-Phi Nguyen, Henning Müller, Vincent Andrearczyk
Uncovering Unique Concept Vectors through Latent Space Decomposition. CoRR (2023)
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)
Mara Graziani, Niccolò Marini, Nicolas Deutschmann, Nikita Janakarajan, Henning Müller, María Rodríguez Martínez
Attention-based Interpretable Regression of Gene Expression in Histology. CoRR (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 (2022)
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 (2022)
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)
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) (2021)
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)
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) (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) (2020)
Mara Graziani, Sebastian Otálora, Henning Müller, Vincent Andrearczyk
Guiding CNNs towards Relevant Concepts by Multi-task and Adversarial Learning. CoRR (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) (2020)
Mara Graziani, Vincent Andrearczyk, Stéphane Marchand-Maillet, Henning Müller
Concept attribution: Explaining CNN decisions to physicians. Comput. Biol. Medicine 123 (2020)
Mara Graziani, Vincent Andrearczyk, Henning Müller
Regression Concept Vectors for Bidirectional Explanations in Histopathology. CoRR (2019)
Mara Graziani, Henning Müller, Vincent Andrearczyk
Interpreting Intentionally Flawed Models with Linear Probes. ICCV Workshops (2019)
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)
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)
Mara Graziani, Vincent Andrearczyk, Henning Müller
Regression Concept Vectors for Bidirectional Explanations in Histopathology. MLCN/DLF/iMIMIC@MICCAI (2018)
Francesca Giordaniello, Matteo Cognolato, Mara Graziani, Arjan Gijsberts, Valentina Gregori, Gianluca Saetta, Anne-Gabrielle Mittaz Hager, Cesare Tiengo, Franco Bassetto, Peter Brugger, Barbara Caputo, Henning Müller, Manfredo Atzori
Megane Pro: Myo-electricity, visual and gaze tracking data acquisitions to improve hand prosthetics. ICORR (2017)
Matteo Cognolato, Mara Graziani, Francesca Giordaniello, Gianluca Saetta, Franco Bassetto, Peter Brugger, Barbara Caputo, Henning Müller, Manfredo Atzori
Semi-automatic Training of an Object Recognition System in Scene Camera Data Using Gaze Tracking and Accelerometers. ICVS (2017)
Mara Graziani
Studying the control of non invasive prosthetic hands over large time spans. CoRR (2015)