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Tarroni, Giacomo
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1

MIM-OOD: Generative Masked Image Modelling for Out-of-Distr..:

, In: Deep Generative Models; Lecture Notes in Computer Science,
Marimont, Sergio Naval ; Siomos, Vasilis ; Tarroni, Giacomo - p. 35-44 , 2024
Link: https://doi.org/10.1007/..
 
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2

Quaternion Anti-Transfer Learning for Speech Emotion Recogn..:

, In: 2023 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA),
Guizzo, Eric ; Weyde, Tillman ; Tarroni, Giacomo. - p. 1-5 , 2023
Link: https://doi.org/10.1109/..
 
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3

FeTS Challenge 2022 Task 1: Implementing FedMGDA + and a Ne..:

, In: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries; Lecture Notes in Computer Science,
Siomos, Vasilis ; Tarroni, Giacomo ; Passerrat-Palmbach, Jonathan - p. 154-160 , 2023
Link: https://doi.org/10.1007/..
 
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4

Artificial intelligence education for radiographers, an eva..:

van de Venter, Riaan ; Skelton, Emily ; Matthew, Jacqueline...
Insights into Imaging.  14 (2023)  1 - p. , 2023
Link: https://doi.org/10.1186/..
 
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5

Abstract: MOOD 2020: A Public Benchmark for Out-of-distribu..:

, In: Informatik aktuell; Bildverarbeitung für die Medizin 2023,
Zimmerer, David ; Full, Peter ; Isensee, Fabian... - p. 312-312 , 2023
Link: https://doi.org/10.1007/..
 
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6

Enhancing MR image segmentation with realistic adversarial ..:

Chen, Chen ; Qin, Chen ; Ouyang, Cheng...
Medical Image Analysis.  82 (2022)  - p. 102597 , 2022
Link: https://doi.org/10.1016/..
 
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7

Implicit U-Net for Volumetric Medical Image Segmentation:

, In: Medical Image Understanding and Analysis; Lecture Notes in Computer Science,
Marimont, Sergio Naval ; Tarroni, Giacomo - p. 387-397 , 2022
Link: https://doi.org/10.1007/..
 
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8

Anti-transfer learning for task invariance in convolutional..:

Guizzo, Eric ; Weyde, Tillman ; Tarroni, Giacomo
Neural Networks.  142 (2021)  - p. 238-251 , 2021
Link: https://doi.org/10.1016/..
 
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9

Implicit Field Learning for Unsupervised Anomaly Detection ..:

, In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2021; Lecture Notes in Computer Science,
Naval Marimont, Sergio ; Tarroni, Giacomo - p. 189-198 , 2021
Link: https://doi.org/10.1007/..
 
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10

Deep Generative Model-Based Quality Control for Cardiac MRI..:

, In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2020; Lecture Notes in Computer Science,
Wang, Shuo ; Tarroni, Giacomo ; Qin, Chen... - p. 88-97 , 2020
Link: https://doi.org/10.1007/..
 
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11

Deep Learning for Cardiac Image Segmentation: A Review:

Chen, Chen ; Qin, Chen ; Qiu, Huaqi...
Frontiers in Cardiovascular Medicine.  7 (2020)  - p. , 2020
Link: https://doi.org/10.3389/..
 
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12

Realistic Adversarial Data Augmentation for MR Image Segmen..:

, In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2020; Lecture Notes in Computer Science,
Chen, Chen ; Qin, Chen ; Qiu, Huaqi... - p. 667-677 , 2020
Link: https://doi.org/10.1007/..
 
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13

Unsupervised Multi-modal Style Transfer for Cardiac MR Segm..:

, In: Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges; Lecture Notes in Computer Science,
Chen, Chen ; Ouyang, Cheng ; Tarroni, Giacomo... - p. 209-219 , 2020
Link: https://doi.org/10.1007/..
 
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14

Large-scale Quality Control of Cardiac Imaging in Populatio..:

Tarroni, Giacomo ; Bai, Wenjia ; Oktay, Ozan...
Scientific Reports.  10 (2020)  1 - p. , 2020
Link: https://doi.org/10.1038/..
 
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15

Self-Supervised Learning for Cardiac MR Image Segmentation ..:

, In: Lecture Notes in Computer Science; Medical Image Computing and Computer Assisted Intervention – MICCAI 2019,
Bai, Wenjia ; Chen, Chen ; Tarroni, Giacomo... - p. 541-549 , 2019
Link: https://doi.org/10.1007/..
 
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