Mara Graziani

According to our database, Mara Graziani authored at least 24 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciences.

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

Artif. Intell. Rev., April, 2023

Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion Segmentation.

Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Adrien Depeursinge, Mark J. F. Gales, Cristina Granziera, Henning Müller, Mara Graziani, Meritxell Bach Cuadra

CoRR, 2023

Uncovering Unique Concept Vectors through Latent Space Decomposition.

Mara Graziani, Laura O'Mahony, An-Phi Nguyen, Henning Müller, Vincent Andrearczyk

CoRR, 2023

Regression-based Deep-Learning predicts molecular biomarkers from pathology slides.

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

CoRR, 2023

Tackling Bias in the Dice Similarity Coefficient: Introducing NDSC for White Matter Lesion Segmentation.

Vatsal Raina, Nataliia Molchanova, Mara Graziani, Andrey Malinin, Henning Müller, Meritxell Bach Cuadra, Mark J. F. Gales

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Novel Structural-Scale Uncertainty Measures and Error Retention Curves: Application to Multiple Sclerosis.

Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Henning Müller, Mark J. F. Gales, Cristina Granziera, Mara Graziani, Meritxell Bach Cuadra

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Disentangling Neuron Representations with Concept Vectors.

Laura O'Mahony, Vincent Andrearczyk, Henning Müller, Mara Graziani

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Shifts 2.0: Extending The Dataset of Real Distributional Shifts.

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

CoRR, 2022

Attention-Based Interpretable Regression of Gene Expression in Histology.

Mara Graziani, Niccolò Marini, Nicolas Deutschmann, Nikita Janakarajan, Henning Müller, María Rodríguez Martínez

Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, 2022

2021

On the Scale Invariance in State of the Art CNNs Trained on ImageNet.

Mara Graziani, Thomas Lompech, Henning Müller, Adrien Depeursinge, Vincent Andrearczyk

Mach. Learn. Knowl. Extr., 2021

Sharpening Local Interpretable Model-Agnostic Explanations for Histopathology: Improved Understandability and Reliability.

Mara Graziani, Iam Palatnik de Sousa, Marley M. B. R. Vellasco, Eduardo Costa da Silva, Henning Müller, Vincent Andrearczyk

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Guiding CNNs towards Relevant Concepts by Multi-task and Adversarial Learning.

Mara Graziani, Sebastian Otálora, Henning Müller, Vincent Andrearczyk

CoRR, 2020

Concept attribution: Explaining CNN decisions to physicians.

Mara Graziani, Vincent Andrearczyk, Stéphane Marchand-Maillet, Henning Müller

Comput. Biol. Medicine, 2020

Breast Histopathology with High-Performance Computing and Deep Learning.

Mara Graziani, Ivan Eggel, François Deligand, Martin Bobák, Vincent Andrearczyk, Henning Müller

Comput. Informatics, 2020

PROCESS Data Infrastructure and Data Services.

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

Comput. Informatics, 2020

Reference Exascale Architecture (Extended Version).

Martin Bobák, Ladislav Hluchý, Ondrej Habala, Viet D. Tran, Reginald Cushing, Onno Valkering, Adam Belloum, Mara Graziani, Henning Müller, Souley Madougou, Jason Maassen

Comput. Informatics, 2020

Interpretable CNN Pruning for Preserving Scale-Covariant Features in Medical Imaging.

Mara Graziani, Thomas Lompech, Henning Müller, Adrien Depeursinge, Vincent Andrearczyk

Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

2019

Improved interpretability for computer-aided severity assessment of retinopathy of prematurity.

Mara Graziani, James M. Brown, Vincent Andrearczyk, Veysi Yildiz, J. Peter Campbell, Deniz Erdogmus, Stratis Ioannidis, Michael F. Chiang, Jayashree Kalpathy-Cramer, Henning Müller

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Interpreting Intentionally Flawed Models with Linear Probes.

Mara Graziani, Henning Müller, Vincent Andrearczyk

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Reference Exascale Architecture.

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

Proceedings of the 15th International Conference on eScience, 2019

2018

Regression Concept Vectors for Bidirectional Explanations in Histopathology.

Mara Graziani, Vincent Andrearczyk, Henning Müller

Proceedings of the Understanding and Interpreting Machine Learning in Medical Image Computing Applications, 2018

2017

Semi-automatic Training of an Object Recognition System in Scene Camera Data Using Gaze Tracking and Accelerometers.

Matteo Cognolato, Mara Graziani, Francesca Giordaniello, Gianluca Saetta, Franco Bassetto, Peter C. Brugger, Barbara Caputo, Henning Müller, Manfredo Atzori

Proceedings of the Computer Vision Systems - 11th International Conference, 2017

Megane Pro: Myo-electricity, visual and gaze tracking data acquisitions to improve hand prosthetics.

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

Proceedings of the International Conference on Rehabilitation Robotics, 2017

2015

Studying the control of non invasive prosthetic hands over large time spans.

Mara Graziani

CoRR, 2015