Sfoglia per Autore
The Effect of Mammogram Preprocessing on Microcalcification Detection with Convolutional Neural Networks
2017-01-01 Marchesi, Agnese; Bria, Alessandro; Marrocco, Claudio; Molinara, Mario; Mordang, Jan-Jurre; Tortorella, Francesco; Karssemeijer, Nico
Illumination Correction by Dehazing for Retinal Vessel Segmentation
2017-01-01 Savelli, Benedetta; Bria, Alessandro; Galdran, Adrian; Marrocco, Claudio; Molinara, Mario; Campilho, Aurelio; Tortorella, Francesco
Retinal Vessel Segmentation Through Denoising and Mathematical Morphology
2017-01-01 Savelli, Benedetta; Marchesi, Agnese; Bria, Alessandro; Marrocco, Claudio; Molinara, Mario; Tortorella, Francesco
Spatial Enhancement by Dehazing for Detection of Microcalcifications with Convolutional Nets
2017-01-01 Bria, Alessandro; Marrocco, C.; Galdran, A.; Campilho, A.; Marchesi, A.; Mordang, J. J.; Karssemeijer, N.; Molinara, M.; Tortorella, F.
Improving computer-aided detection assistance in breast cancer screening by removal of obviously false-positive findings
2017-01-01 Mordang, Jan-jurre; Gubern-mérida, Albert; Bria, Alessandro; Tortorella, Francesco; Den Heeten, Gerard; Karssemeijer, Nico
The importance of early detection of calcifications associated with breast cancer in screening
2017-01-01 Mordang, J. J; Gubern-mérida, A; Bria, A; Tortorella, F; Mann, R. M; Broeders, M. J. M; Den Heeten, G. J; Karssemeijer, N.
Mammogram denoising to improve the calcification detection performance of convolutional nets
2018-01-01 Marrocco, C.; Bria, A.; Di Sano, V.; Borges, L. R.; Savelli, B.; Molinara, M.; Mordang, J. -J.; Karssemeijer, N.; Tortorella, F.
Improving the automated detection of calcifications by combining deep cascades and deep convolutional nets
2018-01-01 Bria, A.; Marrocco, C.; Molinara, M.; Savelli, B.; Mordang, J. -J.; Karssemeijer, N.; Tortorella, F.
On the Duality Between Retinex and Image Dehazing
2018-01-01 Galdran, Adrian; Bria, Alessandro; Alvarez-Gila, Aitor; Vazquez-Corral, Javier; Bertalmio, Marcelo
Improving the Automated Detection of Calcifications using Adaptive Variance Stabilization
2018-01-01 Bria, Alessandro; Marrocco, Claudio; Borges, Lucas R.; Molinara, Mario; Marchesi, Agnese; Mordang, Jan-Jurre; Karssemeijer, Nico; Tortorella, Francesco
Deep Transfer Learning for writer identification in medieval books
2018-01-01 Bria, Alessandro; Cilia, Nicole Dalia; De Stefano, Claudio; Fontanella, Francesco; Marrocco, Claudio; Molinara, Mario; Scotto di Freca, Alessandra; Tortorella, Francesco
A deep learning framework for micro-calcification detection in 2D mammography and C-view
2018-01-01 Trovini, G.; Napoli, C.; Marti, R.; Martin, A.; Bria, A.; Marrocco, C.; Molinara, M.; Tortorella, F.; Diaz, O.
A No-Reference Quality Metric for Retinal Vessel Tree Segmentation
2018-01-01 Galdran, Adrian; Costa, Pedro; Bria, Alessandro; Araújo, Teresa; Mendonça, Ana Maria; Campilho, Aurélio
Combining convolutional neural networks for multi-context microcalcification detection in mammograms
2019-01-01 Savelli, B.; Marrocco, C.; Bria, A.; Molinara, M.; Tortorella, F.
A novel smart system for contaminants detection and recognition in water
2019-01-01 Ferdinandi, M.; Molinara, M.; Cerro, G.; Ferrigno, L.; Marrocco, Claudio; Bria, A.; Di Meo, P.; Bourelly, C.; Simmarano, R.
Exploiting Multi-Level Parallelism for Stitching Very Large Microscopy Images
2019-01-01 Bria, Alessandro; Bernaschi, Massimo; Guarrasi, Massimiliano; Iannello, Giulio
An IoT-ready solution for automated recognition of water contaminants
2020-01-01 Bria, A.; Cerro, G.; Ferdinandi, M.; Marrocco, C.; Molinara, M.
A multi-context CNN ensemble for small lesion detection
2020-01-01 Savelli, B.; Bria, A.; Marrocco, C.; Tortorella, F; Molinara, M.
A Preliminary Solution for Anomaly Detection in Water Quality Monitoring
2020-01-01 Bourelly, C.; Bria, A.; Ferrigno, L.; Gerevini, L.; Marrocco, C.; Molinara, M.; Cerro, G.; Cicalini, M.; Ria, A.
Addressing class imbalance in deep learning for small lesion detection on medical images
2020-01-01 Bria, Alessandro; Marrocco, Claudio; Tortorella, Francesco
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| The Effect of Mammogram Preprocessing on Microcalcification Detection with Convolutional Neural Networks | 1-gen-2017 | Marchesi, Agnese; Bria, Alessandro; Marrocco, Claudio; Molinara, Mario; Mordang, Jan-Jurre; Tortorella, Francesco; Karssemeijer, Nico | |
| Illumination Correction by Dehazing for Retinal Vessel Segmentation | 1-gen-2017 | Savelli, Benedetta; Bria, Alessandro; Galdran, Adrian; Marrocco, Claudio; Molinara, Mario; Campilho, Aurelio; Tortorella, Francesco | |
| Retinal Vessel Segmentation Through Denoising and Mathematical Morphology | 1-gen-2017 | Savelli, Benedetta; Marchesi, Agnese; Bria, Alessandro; Marrocco, Claudio; Molinara, Mario; Tortorella, Francesco | |
| Spatial Enhancement by Dehazing for Detection of Microcalcifications with Convolutional Nets | 1-gen-2017 | Bria, Alessandro; Marrocco, C.; Galdran, A.; Campilho, A.; Marchesi, A.; Mordang, J. J.; Karssemeijer, N.; Molinara, M.; Tortorella, F. | |
| Improving computer-aided detection assistance in breast cancer screening by removal of obviously false-positive findings | 1-gen-2017 | Mordang, Jan-jurre; Gubern-mérida, Albert; Bria, Alessandro; Tortorella, Francesco; Den Heeten, Gerard; Karssemeijer, Nico | |
| The importance of early detection of calcifications associated with breast cancer in screening | 1-gen-2017 | Mordang, J. J; Gubern-mérida, A; Bria, A; Tortorella, F; Mann, R. M; Broeders, M. J. M; Den Heeten, G. J; Karssemeijer, N. | |
| Mammogram denoising to improve the calcification detection performance of convolutional nets | 1-gen-2018 | Marrocco, C.; Bria, A.; Di Sano, V.; Borges, L. R.; Savelli, B.; Molinara, M.; Mordang, J. -J.; Karssemeijer, N.; Tortorella, F. | |
| Improving the automated detection of calcifications by combining deep cascades and deep convolutional nets | 1-gen-2018 | Bria, A.; Marrocco, C.; Molinara, M.; Savelli, B.; Mordang, J. -J.; Karssemeijer, N.; Tortorella, F. | |
| On the Duality Between Retinex and Image Dehazing | 1-gen-2018 | Galdran, Adrian; Bria, Alessandro; Alvarez-Gila, Aitor; Vazquez-Corral, Javier; Bertalmio, Marcelo | |
| Improving the Automated Detection of Calcifications using Adaptive Variance Stabilization | 1-gen-2018 | Bria, Alessandro; Marrocco, Claudio; Borges, Lucas R.; Molinara, Mario; Marchesi, Agnese; Mordang, Jan-Jurre; Karssemeijer, Nico; Tortorella, Francesco | |
| Deep Transfer Learning for writer identification in medieval books | 1-gen-2018 | Bria, Alessandro; Cilia, Nicole Dalia; De Stefano, Claudio; Fontanella, Francesco; Marrocco, Claudio; Molinara, Mario; Scotto di Freca, Alessandra; Tortorella, Francesco | |
| A deep learning framework for micro-calcification detection in 2D mammography and C-view | 1-gen-2018 | Trovini, G.; Napoli, C.; Marti, R.; Martin, A.; Bria, A.; Marrocco, C.; Molinara, M.; Tortorella, F.; Diaz, O. | |
| A No-Reference Quality Metric for Retinal Vessel Tree Segmentation | 1-gen-2018 | Galdran, Adrian; Costa, Pedro; Bria, Alessandro; Araújo, Teresa; Mendonça, Ana Maria; Campilho, Aurélio | |
| Combining convolutional neural networks for multi-context microcalcification detection in mammograms | 1-gen-2019 | Savelli, B.; Marrocco, C.; Bria, A.; Molinara, M.; Tortorella, F. | |
| A novel smart system for contaminants detection and recognition in water | 1-gen-2019 | Ferdinandi, M.; Molinara, M.; Cerro, G.; Ferrigno, L.; Marrocco, Claudio; Bria, A.; Di Meo, P.; Bourelly, C.; Simmarano, R. | |
| Exploiting Multi-Level Parallelism for Stitching Very Large Microscopy Images | 1-gen-2019 | Bria, Alessandro; Bernaschi, Massimo; Guarrasi, Massimiliano; Iannello, Giulio | |
| An IoT-ready solution for automated recognition of water contaminants | 1-gen-2020 | Bria, A.; Cerro, G.; Ferdinandi, M.; Marrocco, C.; Molinara, M. | |
| A multi-context CNN ensemble for small lesion detection | 1-gen-2020 | Savelli, B.; Bria, A.; Marrocco, C.; Tortorella, F; Molinara, M. | |
| A Preliminary Solution for Anomaly Detection in Water Quality Monitoring | 1-gen-2020 | Bourelly, C.; Bria, A.; Ferrigno, L.; Gerevini, L.; Marrocco, C.; Molinara, M.; Cerro, G.; Cicalini, M.; Ria, A. | |
| Addressing class imbalance in deep learning for small lesion detection on medical images | 1-gen-2020 | Bria, Alessandro; Marrocco, Claudio; Tortorella, Francesco |
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