Sfoglia per Relatore
Mostrati risultati da 1 a 9 di 9
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
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 | 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 9 di 9
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