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Menegaz, Gloria
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1

List of contributors:

, In: Explainable Deep Learning AI,
Abdiyeva, Kamila ; Ahuja, Narendra ; Anneken, Mathias... - p. xi-xiv , 2023
Link: https://doi.org/10.1016/..
 
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2

SCENE-pathy: Capturing the Visual Selective Attention of Pe..:

, In: Image Analysis and Processing – ICIAP 2023; Lecture Notes in Computer Science,
Toaiari, Andrea ; Cunico, Federico ; Taioli, Francesco... - p. 352-363 , 2023
Link: https://doi.org/10.1007/..
 
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3

Objective Assessment of the Bias Introduced by Baseline Sig..:

, In: 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE),
Dolci, Giorgio ; Cruciani, Federica ; Galazzo, Ilaria Boscolo.. - p. 266-271 , 2023
Link: https://doi.org/10.1109/..
 
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4

Explainable deep learning for decrypting disease signatures..:

, In: Explainable Deep Learning AI,
Cruciani, Federica ; Brusini, Lorenza ; Zucchelli, Mauro... - p. 97-123 , 2023
Link: https://doi.org/10.1016/..
 
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5

Explainable AI (XAI) In Biomedical Signal and Image Process..:

, In: 2022 IEEE International Conference on Image Processing (ICIP),
Yang, Guang ; Rao, Arvind ; Fernandez-Maloigne, Christine.. - p. 1531-1535 , 2022
Link: https://doi.org/10.1109/..
 
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6

A deep generative multimodal imaging genomics framework for..:

, In: 2022 IEEE 22nd International Conference on Bioinformatics and Bioengineering (BIBE),
Dolci, Giorgio ; Rahaman, Md Abdur ; Chen, Jiayu... - p. 41-44 , 2022
Link: https://doi.org/10.1109/..
 
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7

What PLS can still do for Imaging Genetics in Alzheimer's d..:

, In: 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI),
Cruciani, Federica ; Altmann, Andre ; Lorenzi, Marco.. - p. 1-4 , 2022
Link: https://doi.org/10.1109/..
 
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8

Motor-imagery EEG signal decoding using multichannel-empiri..:

, In: 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI),
Siviero, Ilaria ; Brusini, Lorenza ; Menegaz, Gloria. - p. 1-4 , 2022
Link: https://doi.org/10.1109/..
 
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9

Multi-modal Brain Age Estimation: A Comparative Study Confi..:

, In: Computational Diffusion MRI; Mathematics and Visualization,
Salih, Ahmed ; Galazzo, Ilaria Boscolo ; Jaggi, Akshay... - p. 239-250 , 2021
Link: https://doi.org/10.1007/..
 
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10

Explainable 3D-CNN for Multiple Sclerosis Patients Stratifi..:

, In: Pattern Recognition. ICPR International Workshops and Challenges; Lecture Notes in Computer Science,
Cruciani, Federica ; Brusini, Lorenza ; Zucchelli, Mauro... - p. 103-114 , 2021
Link: https://doi.org/10.1007/..
 
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11

Disentangling the association between genetics and function..:

, In: 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI),
Elshatoury, Heba ; Cruciani, Federica ; Zumerle, Francesco... - p. 1-4 , 2021
Link: https://doi.org/10.1109/..
 
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12

Microstructural Modulations in the Hippocampus Allow to Cha..:

, In: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries; Lecture Notes in Computer Science,
Brusini, Lorenza ; Boscolo Galazzo, Ilaria ; Akinci, Muge... - p. 70-79 , 2021
Link: https://doi.org/10.1007/..
 
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13

EEG-Based Workload Index as a Taxonomic Tool to Evaluate th..:

, In: Communications in Computer and Information Science; Human Mental Workload: Models and Applications,
Di Flumeri, Gianluca ; Aricò, Pietro ; Borghini, Gianluca... - p. 105-117 , 2019
Link: https://doi.org/10.1007/..
 
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14

Perfusion-based Brain Connectivity: PASL vs pCASL:

, In: 2019 27th European Signal Processing Conference (EUSIPCO),
Blasi, Bianca De ; Barnes, Anna ; Storti, Silvia Francesca... - p. 1-4 , 2019
Link: https://doi.org/10.23919..
 
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15

Can Diffusion MRI Reveal Stroke-Induced Microstructural Cha..:

, In: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries; Lecture Notes in Computer Science,
Brusini, Lorenza ; Galazzo, Ilaria Boscolo ; Zucchelli, Mauro.. - p. 464-471 , 2019
Link: https://doi.org/10.1007/..
 
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