Sfoglia per Relatore
Mostrati risultati da 1 a 12 di 12
Analysis and adaptation of nnUNet (no-new-Unet) to process single modalities magnetic resonance images for brain tumors and ischemic stroke lesions segmentation
2021/2022 VIBERTI, ANDREA
Analysis and classification of corticomuscolar coactivation features during upper limb movement
2023/2024 SIMONATO, ALICE
Classificazione di gesti della mano basata sul Deep Learning con segnali sEMG dell'avambraccio: indagine sui metodi di apprendimento auto-supervisionato per applicazioni intra-soggetto
2024/2025 BOSCHETTI, LEONE
Deep articulatory vocal modelling. An encoder-decoder architecture.
2024/2025 NUCERA, VALERIO
EEG and EMG graph CNN for upper limb movement classification
2021/2022 PALATELLA, ALESSIO
Head and neck tumor segmentation and recurrence-free survival prediction
2022/2023 BAGANTE, ANDREA
Inference of cortical circuit parameters based on simulation of biophysically complex brain models
2023/2024 SANDRON, ALESSANDRO
Integrating electromyography data with pronation and supination angles for the classification of hand movements using deep learning
2022/2023 SARTORATO, GIULIO
Intra-operative tumor segmentation using hyperspectral imaging data
2021/2022 SEMERARO, PIERCOSIMO
Minimizing Patient Risk in Contrast Enhanced Mammography (CEM): Deep Learning Techniques for Virtual Contrast Enhancement
2023/2024 KOTLER, HAREL
Provision of real-time bioelectric feedback to enhance training of upper limb prostheses
2021/2022 ZANETTIN, IRENE
Rete convoluzionale multikernel per classificare movimenti della mano basata su segnali EMG
2022/2023 FRATTI, RICCARDO
Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
---|---|---|---|---|---|
Lauree magistrali | 2021 | Analysis and adaptation of nnUNet (no-new-Unet) to process single modalities magnetic resonance images for brain tumors and ischemic stroke lesions segmentation | Analysis and adaptation of nnUNet (no-new-UNet) to process single modalities magnetic resonance images for brain tumors and ischemic stroke lesions segmentation | VIBERTI, ANDREA | |
Lauree magistrali | 2023 | Analysis and classification of corticomuscolar coactivation features during upper limb movement | Analysis and classification of corticomuscolar coactivation features during upper limb movement | SIMONATO, ALICE | |
Lauree magistrali | 2024 | Classificazione di gesti della mano basata sul Deep Learning con segnali sEMG dell'avambraccio: indagine sui metodi di apprendimento auto-supervisionato per applicazioni intra-soggetto | Deep learning-based hand gesture classification with forearm sEMG signals: investigation of self-supervised learning methods for within-subjects applications | BOSCHETTI, LEONE | |
Lauree magistrali | 2024 | Deep articulatory vocal modelling. An encoder-decoder architecture. | Deep articulatory vocal modelling. An encoder-decoder architecture. | NUCERA, VALERIO | |
Lauree magistrali | 2021 | EEG and EMG graph CNN for upper limb movement classification | EEG and EMG graph CNN for upper limb movement classification | PALATELLA, ALESSIO | |
Lauree magistrali | 2022 | Head and neck tumor segmentation and recurrence-free survival prediction | Head and neck tumor segmentation and recurrence-free survival prediction | BAGANTE, ANDREA | |
Lauree magistrali | 2023 | Inference of cortical circuit parameters based on simulation of biophysically complex brain models | Inference of cortical circuit parameters based on simulation of biophysically complex brain models | SANDRON, ALESSANDRO | |
Lauree magistrali | 2022 | Integrating electromyography data with pronation and supination angles for the classification of hand movements using deep learning | Integrating electromyography data with pronation and supination angles for the classification of hand movements using deep learning | SARTORATO, GIULIO | |
Lauree magistrali | 2021 | Intra-operative tumor segmentation using hyperspectral imaging data | Intra-operative tumor segmentation using hyperspectral imaging data | SEMERARO, PIERCOSIMO | |
Lauree magistrali a ciclo unico | 2023 | Minimizing Patient Risk in Contrast Enhanced Mammography (CEM): Deep Learning Techniques for Virtual Contrast Enhancement | Minimizing Patient Risk in Contrast Enhanced Mammography (CEM): Deep Learning Techniques for Virtual Contrast Enhancement | KOTLER, HAREL | |
Lauree magistrali | 2021 | Provision of real-time bioelectric feedback to enhance training of upper limb prostheses | Provision of real-time bioelectric feedback to enhance training of upper limb prostheses | ZANETTIN, IRENE | |
Lauree magistrali | 2022 | Rete convoluzionale multikernel per classificare movimenti della mano basata su segnali EMG | Multikernel convolutional neural network for sEMG based hand gesture classification | FRATTI, RICCARDO |
Mostrati risultati da 1 a 12 di 12
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