Studying the control of non invasive prosthetic hands over large time spans. - Mara Graziani (CoRR, 2015)

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; et al. (ICORR, 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 (ICVS, 2017)

Regression Concept Vectors for Bidirectional Explanations in Histopathology. - Mara Graziani; Vincent Andrearczyk; Henning Müller (MLCN/DLF/iMIMIC@MICCAI, 2018)

Reference Exascale Architecture. - Martin Bobák 001; Balázs Somosköi; Mara Graziani; Matti Heikkurinen; Maximilian Höb; Jan Schmidt; Ladislav Hluchý; Adam Belloum; Reginald Cushing; Jan Meizner; Piotr Nowakowski; Viet D. Tran; et al. (eScience, 2019)

Interpreting Intentionally Flawed Models with Linear Probes. - Mara Graziani; Henning Müller; Vincent Andrearczyk (ICCV Workshops, 2019)

Improved interpretability for computer-aided severity assessment of retinopathy of prematurity. - Mara Graziani; James M. Brown 001; Vincent Andrearczyk; Veysi Yildiz; J. Peter Campbell; Deniz Erdogmus; Stratis Ioannidis; Michael F. Chiang; Jayashree Kalpathy-Cramer; Henning Müller (Computer-Aided Diagnosis, 2019)

Interpretable CNN Pruning for Preserving Scale-Covariant Features in Medical Imaging. - Mara Graziani; Thomas Lompech; Henning Müller; Adrien Depeursinge; Vincent Andrearczyk (iMIMIC/MIL3ID/LABELS@MICCAI, 2020)

Reference Exascale Architecture (Extended Version). - Martin Bobák 001; Ladislav Hluchý; Ondrej Habala; Viet D. Tran; Reginald Cushing; Onno Valkering; Adam Belloum; Mara Graziani; Henning Müller; Souley Madougou; Jason Maassen (Comput. Informatics, 2020)

PROCESS Data Infrastructure and Data Services. - Reginald Cushing; Onno Valkering; Adam Belloum; Souley Madougou; Jason Maassen; Martin Bobák 001; Ondrej Habala; Viet D. Tran; Jan Meizner; Piotr Nowakowski; Mara Graziani; Henning Müller (Comput. Informatics, 2020)

Breast Histopathology with High-Performance Computing and Deep Learning. - Mara Graziani; Ivan Eggel; François Deligand; Martin Bobák 001; Vincent Andrearczyk; Henning Müller (Comput. Informatics, 2020)

Concept attribution: Explaining CNN decisions to physicians. - Mara Graziani; Vincent Andrearczyk; Stéphane Marchand-Maillet; Henning Müller (Comput. Biol. Medicine, 2020)

Guiding CNNs towards Relevant Concepts by Multi-task and Adversarial Learning. - Mara Graziani; Sebastian Otálora; Henning Müller; Vincent Andrearczyk (CoRR, 2020)

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 (MICCAI (3), 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)

Interpretability of Deep Learning for Medical Image Classification: Improved Understandability and Generalization. - Mara Graziani (2021)

Attention-Based Interpretable Regression of Gene Expression in Histology. - Mara Graziani; Niccolò Marini; Nicolas Deutschmann; Nikita Janakarajan; Henning Müller; María Rodríguez Martínez (iMIMIC@MICCAI, 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; et al. (CoRR, 2022)

Disentangling Neuron Representations with Concept Vectors. - Laura O'Mahony; Vincent Andrearczyk; Henning Müller; Mara Graziani (CVPR Workshops, 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 (ISBI, 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 (ISBI, 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; et al. (CoRR, 2023)

Uncovering Unique Concept Vectors through Latent Space Decomposition. - Mara Graziani; Laura O'Mahony; An-Phi Nguyen; Henning Müller; Vincent Andrearczyk (Trans. Mach. Learn. Res., 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; et al. (Artif. Intell. Rev., 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 (Comput. Biol. Medicine, 2025)

Privacy preserving histopathological image augmentation with Conditional Generative Adversarial Networks. - Alexandra-Georgiana Andrei; Mihai Gabriel Constantin; Mara Graziani; Henning Müller; Bogdan Ionescu (Pattern Recognit. Lett., 2025)

Making Sense of Data in the Wild: Data Analysis Automation at Scale. - Mara Graziani; Malina Molnar; Irina Espejo Morales; Joris Cadow-Gossweiler; Teodoro Laino (CoRR, 2025)

We Need Improved Data Curation and Attribution in AI for Scientific Discovery. - Mara Graziani; Antonio Foncubierta; Dimitrios Christofidellis; Irina Espejo Morales; Malina Molnar; Marvin Alberts; Matteo Manica; Jannis Born (CoRR, 2025)