Mara Graziani 
contact information
Postdoc ResearcherZurich Research Laboratory, Zurich, Switzerland +41
447248329
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2022
Shifts 2.0: Extending The Dataset of Real Distributional Shifts
Andrey Malinin, Andreas Athanasopoulos, Muhamed Barakovic, Meritxell Bach Cuadra, Mark JF Gales, Cristina Granziera, Mara Graziani, Nikolay Kartashev, Konstantinos Kyriakopoulos, Po-Jui Lu, others
arXiv preprint arXiv:2206.15407, 2022
Andrey Malinin, Andreas Athanasopoulos, Muhamed Barakovic, Meritxell Bach Cuadra, Mark JF Gales, Cristina Granziera, Mara Graziani, Nikolay Kartashev, Konstantinos Kyriakopoulos, Po-Jui Lu, others
arXiv preprint arXiv:2206.15407, 2022
2021
Interpretability of Deep Learning for Medical Image Classification: Improved Understandability and Generalization
Mara Graziani
Ph.D. Thesis, 2021
Mara Graziani
Ph.D. Thesis, 2021
Sharpening Local Interpretable Model-Agnostic Explanations for Histopathology: Improved Understandability and Reliability
Mara Graziani, Iam Palatnik de Sousa, Marley MBR Vellasco, Eduardo Costa da Silva, Henning M\"uller, Vincent Andrearczyk
International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 540--549, 2021
Mara Graziani, Iam Palatnik de Sousa, Marley MBR Vellasco, Eduardo Costa da Silva, Henning M\"uller, Vincent Andrearczyk
International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 540--549, 2021
On the scale invariance in state of the art cnns trained on imagenet
Mara Graziani, Thomas Lompech, Henning M\"uller, Adrien Depeursinge, Vincent Andrearczyk
Machine Learning and Knowledge Extraction 3(2), 374--391, MDPI, 2021
Mara Graziani, Thomas Lompech, Henning M\"uller, Adrien Depeursinge, Vincent Andrearczyk
Machine Learning and Knowledge Extraction 3(2), 374--391, MDPI, 2021
Evaluation and Comparison of CNN Visual Explanations for Histopathology
Mara Graziani, Thomas Lompech, Henning M\"uller, Vincent Andrearczyk
XAI workshop at AAAI21, 2021
Mara Graziani, Thomas Lompech, Henning M\"uller, Vincent Andrearczyk
XAI workshop at AAAI21, 2021
2020
Learning Interpretable Pathology Features by Multi-task and Adversarial Training Improves CNN Generalization
Mara Graziani, Sebastian Otalora, St\'ephane Marchand-Maillet, Henning M\"uller, Vincent Andrearczyk
2020
Mara Graziani, Sebastian Otalora, St\'ephane Marchand-Maillet, Henning M\"uller, Vincent Andrearczyk
2020
Process data infrastructure and data services
Reginald Cushing, Onno Valkering, Adam Belloum, Souley Madougou, Jason Maassen, Ondrej Habala, Viet Tran, Jan Meizner, Piotr Nowakowski, Mara Graziani, others
Computing and Informatics 39(4), 724--756, 2020
Reginald Cushing, Onno Valkering, Adam Belloum, Souley Madougou, Jason Maassen, Ondrej Habala, Viet Tran, Jan Meizner, Piotr Nowakowski, Mara Graziani, others
Computing and Informatics 39(4), 724--756, 2020
Breast histopathology with high-performance computing and deep learning
Mara Graziani, Ivan Eggel, Vincent Andrearczyk, others
Computing and Informatics 39(4), 780--807, 2020
Mara Graziani, Ivan Eggel, Vincent Andrearczyk, others
Computing and Informatics 39(4), 780--807, 2020
Consistency of scale equivariance in internal representations of CNNs
Vincent Andrearczyk, Mara Graziani, Henning M\"uller, Adrien Depeursinge
Irish Machine Vision and Image Processing, 2020
Vincent Andrearczyk, Mara Graziani, Henning M\"uller, Adrien Depeursinge
Irish Machine Vision and Image Processing, 2020
Interpretable CNN pruning for preserving scale-covariant features in medical imaging
Mara Graziani, Thomas Lompech, Henning M\"uller, Adrien Depeursinge, Vincent Andrearczyk
Interpretable and Annotation-Efficient Learning for Medical Image Computing, pp. 23--32, Springer, Cham, 2020
Mara Graziani, Thomas Lompech, Henning M\"uller, Adrien Depeursinge, Vincent Andrearczyk
Interpretable and Annotation-Efficient Learning for Medical Image Computing, pp. 23--32, Springer, Cham, 2020
Concept attribution: Explaining CNN decisions to physicians
Mara Graziani, Vincent Andrearczyk, St\'ephane Marchand-Maillet, Henning M\"uller
Computers in biology and medicine123, 103865, Pergamon, 2020
Mara Graziani, Vincent Andrearczyk, St\'ephane Marchand-Maillet, Henning M\"uller
Computers in biology and medicine123, 103865, Pergamon, 2020
Heterogeneous exascale computing
Ladislav Hluch\`y, Martin Bob\'ak, Henning M\"uller, Mara Graziani, Jason Maassen, Hanno Spreeuw, Matti Heikkurinen, J\"org Pancake-Steeg, Stefan Spahr, Nils Otto vor dem Gentschen Felde, others
Recent Advances in Intelligent Engineering, pp. 81--110, Springer, Cham, 2020
Ladislav Hluch\`y, Martin Bob\'ak, Henning M\"uller, Mara Graziani, Jason Maassen, Hanno Spreeuw, Matti Heikkurinen, J\"org Pancake-Steeg, Stefan Spahr, Nils Otto vor dem Gentschen Felde, others
Recent Advances in Intelligent Engineering, pp. 81--110, Springer, Cham, 2020
2019
Interpreting intentionally flawed models with linear probes
Mara Graziani, Henning Muller, Vincent Andrearczyk
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, pp. 0--0, 2019
Mara Graziani, Henning Muller, Vincent Andrearczyk
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, pp. 0--0, 2019
Visualizing and interpreting feature reuse of pretrained CNNs for histopathology
Mara Graziani, Vincent Andrearczyk, Henning M\"uller
Irish Machine Vision and Image Processing Conference, 2019
Mara Graziani, Vincent Andrearczyk, Henning M\"uller
Irish Machine Vision and Image Processing Conference, 2019
Improved interpretability for computer-aided severity assessment of Retinopathy of Prematurity
Mara Graziani, James Brown, Vincent Andrearczyk, Veysi Yildiz, J.Peterl Campbell, Deniz Erdogmus, Stradis Ioannidis, Micheal F. Chiang, Jayashree Kalpathy-Cramer, Henning Muller
SPIE Medical Imaging 2019
Mara Graziani, James Brown, Vincent Andrearczyk, Veysi Yildiz, J.Peterl Campbell, Deniz Erdogmus, Stradis Ioannidis, Micheal F. Chiang, Jayashree Kalpathy-Cramer, Henning Muller
SPIE Medical Imaging 2019
2018
Regression Concept Vectors for Bidirectional Explanations in Histopathology
Mara Graziani, Vincent Andrearczyk, Henning M\"uller
Interpretability of Machine Intelligence in Medical Image Computing (iMIMIC) at MICCAI 2018
Mara Graziani, Vincent Andrearczyk, Henning M\"uller
Interpretability of Machine Intelligence in Medical Image Computing (iMIMIC) at MICCAI 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 Brugger, Barbara Caputo, Henning M\"uller, Manfredo Atzori
International Conference on Computer Vision Systems, pp. 175--184, 2017
Matteo Cognolato, Mara Graziani, Francesca Giordaniello, Gianluca Saetta, Franco Bassetto, Peter Brugger, Barbara Caputo, Henning M\"uller, Manfredo Atzori
International Conference on Computer Vision Systems, pp. 175--184, 2017