BRIA, Alessandro
BRIA, Alessandro
Dipartimento di Ingegneria Elettrica e dell'Informazione "Maurizio Scarano"
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 False Positive Reduction System for Continuous Water Quality Monitoring
2021-01-01 Bria, A.; Ferrigno, L.; Gerevini, L.; Marrocco, C.; Molinara, M.; Bruschi, P.; Cicalini, M.; Manfredini, G.; Ria, A.; Cerro, G.; Simmarano, R.; Teolis, G.; Vitelli, M.
A HPC infrastructure for processing and visualizing neuro-anatomical images obtained by Confocal Light Sheet Microscopy
2014-01-01 Bria, Alessandro; Iannello, Giulio; Soda, Paolo; Peng, Hanchuan; Erbacci, Giovanni; Fiameni, Giuseppe; Mariani, Giacomo; Mucci, Roberto; Rorro, Marco; Pavone, Francesco; Silvestri, Ludovico; Frasconi, Paolo; Cortini, Roberto
A multi-context CNN ensemble for small lesion detection
2020-01-01 Savelli, B.; Bria, A.; Marrocco, C.; Tortorella, F; Molinara, M.
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
A Novel Evolutionary Approach for Neural Architecture Search
2023-01-01 Bria, Alessandro; De Ciccio, Paolo; D’Alessandro, Tiziana; Fontanella, Francesco
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.
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.
A Ranking-based Cascade Approach for Unbalanced Data
2012-01-01 Bria, Alessandro; Marrocco, Claudio; Molinara, Mario; Tortorella, Francesco
Addressing class imbalance in deep learning for small lesion detection on medical images
2020-01-01 Bria, Alessandro; Marrocco, Claudio; Tortorella, Francesco
An effective learning strategy for cascaded object detection
2016-01-01 Bria, Alessandro; Marrocco, Claudio; Molinara, Mario; Tortorella, Francesco
An end-to-end real-time pollutants spilling recognition in wastewater based on the IoT-ready SENSIPLUS platform
2023-01-01 Gerevini, L.; Cerro, G.; Bria, A.; Marrocco, C.; Ferrigno, L.; Vitelli, M.; Ria, A.; Molinara, M.
An IoT-ready solution for automated recognition of water contaminants
2020-01-01 Bria, A.; Cerro, G.; Ferdinandi, M.; Marrocco, C.; Molinara, M.
An Open Source C Code Generator and a Tiny Machine Learning Toolchain for the SENSIPLUS Platform
2022-01-01 Bria, A.; Ferrigno, L.; Marrocco, C.; Molinara, M.; Vitelli, M.; Ria, A.; Cicalini, M.; Manfredini, G.; Bruschi, P.
An open-source VAA3D plugin for real-time 3D visualization of terabyte-sized volumetric images
2015-01-01 Bria, Alessandro; Iannello, Giulio; Peng, Hanchuan
Artificial intelligence for distributed smart systems
2021-01-01 Molinara, M.; Bria, A.; De Vito, S.; Marrocco, C.
Automatic Microcalcification Detection in Multi-vendor Mammography Using Convolutional Neural Networks
2016-01-01 Mordang, Jan-Jurre; Janssen, Tim; Bria, Alessandro; Kooi, Thijs; Gubern-Mérida, Albert; Karssemeijer, Nico
BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets
2023-01-01 Manubens-Gil, Linus; Zhou, Zhi; Chen, Hanbo; Ramanathan, Arvind; Liu, Xiaoxiao; Liu, Yufeng; Bria, Alessandro; Gillette, Todd; Ruan, Zongcai; Yang, Jian; Radojević, Miroslav; Zhao, Ting; Cheng, Li; Qu, Lei; Liu, Siqi; Bouchard, Kristofer E; Gu, Lin; Cai, Weidong; Ji, Shuiwang; Roysam, Badrinath; Wang, Ching-Wei; Yu, Hongchuan; Sironi, Amos; Iascone, Daniel Maxim; Zhou, Jie; Bas, Erhan; Conde-Sousa, Eduardo; Aguiar, Paulo; Li, Xiang; Li, Yujie; Nanda, Sumit; Wang, Yuan; Muresan, Leila; Fua, Pascal; Ye, Bing; He, Hai-Yan; Staiger, Jochen F; Peter, Manuel; Cox, Daniel N; Simonneau, Michel; Oberlaender, Marcel; Jefferis, Gregory; Ito, Kei; Gonzalez-Bellido, Paloma; Kim, Jinhyun; Rubel, Edwin; Cline, Hollis T; Zeng, Hongkui; Nern, Aljoscha; Chiang, Ann-Shyn; Yao, Jianhua; Roskams, Jane; Livesey, Rick; Stevens, Janine; Liu, Tianming; Dang, Chinh; Guo, Yike; Zhong, Ning; Tourassi, Georgia; Hill, Sean; Hawrylycz, Michael; Koch, Christof; Meijering, Erik; Ascoli, Giorgio A; Peng, Hanchuan
Bioimage Informatics for Big Data
2016-01-01 Peng, Hanchuan; Zhou, Jie; Zhou, Zhi; Bria, Alessandro; Li, Yujie; Kleissas, Dean Mark; Drenkow, Nathan G; Long, Brian; Liu, Xiaoxiao; Chen, Hanbo
Breast Mass Detection and Classification Using Transfer Learning on OPTIMAM Dataset Through RadImageNet Weights
2024-01-01 Kassahun, R. K.; Molinara, M.; Bria, A.; Marrocco, C.; Tortorella, F.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| 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 False Positive Reduction System for Continuous Water Quality Monitoring | 1-gen-2021 | Bria, A.; Ferrigno, L.; Gerevini, L.; Marrocco, C.; Molinara, M.; Bruschi, P.; Cicalini, M.; Manfredini, G.; Ria, A.; Cerro, G.; Simmarano, R.; Teolis, G.; Vitelli, M. | |
| A HPC infrastructure for processing and visualizing neuro-anatomical images obtained by Confocal Light Sheet Microscopy | 1-gen-2014 | Bria, Alessandro; Iannello, Giulio; Soda, Paolo; Peng, Hanchuan; Erbacci, Giovanni; Fiameni, Giuseppe; Mariani, Giacomo; Mucci, Roberto; Rorro, Marco; Pavone, Francesco; Silvestri, Ludovico; Frasconi, Paolo; Cortini, Roberto | |
| A multi-context CNN ensemble for small lesion detection | 1-gen-2020 | Savelli, B.; Bria, A.; Marrocco, C.; Tortorella, F; Molinara, M. | |
| 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 | |
| A Novel Evolutionary Approach for Neural Architecture Search | 1-gen-2023 | Bria, Alessandro; De Ciccio, Paolo; D’Alessandro, Tiziana; Fontanella, Francesco | |
| 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. | |
| 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. | |
| A Ranking-based Cascade Approach for Unbalanced Data | 1-gen-2012 | Bria, Alessandro; Marrocco, Claudio; Molinara, Mario; Tortorella, Francesco | |
| Addressing class imbalance in deep learning for small lesion detection on medical images | 1-gen-2020 | Bria, Alessandro; Marrocco, Claudio; Tortorella, Francesco | |
| An effective learning strategy for cascaded object detection | 1-gen-2016 | Bria, Alessandro; Marrocco, Claudio; Molinara, Mario; Tortorella, Francesco | |
| An end-to-end real-time pollutants spilling recognition in wastewater based on the IoT-ready SENSIPLUS platform | 1-gen-2023 | Gerevini, L.; Cerro, G.; Bria, A.; Marrocco, C.; Ferrigno, L.; Vitelli, M.; Ria, A.; Molinara, M. | |
| An IoT-ready solution for automated recognition of water contaminants | 1-gen-2020 | Bria, A.; Cerro, G.; Ferdinandi, M.; Marrocco, C.; Molinara, M. | |
| An Open Source C Code Generator and a Tiny Machine Learning Toolchain for the SENSIPLUS Platform | 1-gen-2022 | Bria, A.; Ferrigno, L.; Marrocco, C.; Molinara, M.; Vitelli, M.; Ria, A.; Cicalini, M.; Manfredini, G.; Bruschi, P. | |
| An open-source VAA3D plugin for real-time 3D visualization of terabyte-sized volumetric images | 1-gen-2015 | Bria, Alessandro; Iannello, Giulio; Peng, Hanchuan | |
| Artificial intelligence for distributed smart systems | 1-gen-2021 | Molinara, M.; Bria, A.; De Vito, S.; Marrocco, C. | |
| Automatic Microcalcification Detection in Multi-vendor Mammography Using Convolutional Neural Networks | 1-gen-2016 | Mordang, Jan-Jurre; Janssen, Tim; Bria, Alessandro; Kooi, Thijs; Gubern-Mérida, Albert; Karssemeijer, Nico | |
| BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets | 1-gen-2023 | Manubens-Gil, Linus; Zhou, Zhi; Chen, Hanbo; Ramanathan, Arvind; Liu, Xiaoxiao; Liu, Yufeng; Bria, Alessandro; Gillette, Todd; Ruan, Zongcai; Yang, Jian; Radojević, Miroslav; Zhao, Ting; Cheng, Li; Qu, Lei; Liu, Siqi; Bouchard, Kristofer E; Gu, Lin; Cai, Weidong; Ji, Shuiwang; Roysam, Badrinath; Wang, Ching-Wei; Yu, Hongchuan; Sironi, Amos; Iascone, Daniel Maxim; Zhou, Jie; Bas, Erhan; Conde-Sousa, Eduardo; Aguiar, Paulo; Li, Xiang; Li, Yujie; Nanda, Sumit; Wang, Yuan; Muresan, Leila; Fua, Pascal; Ye, Bing; He, Hai-Yan; Staiger, Jochen F; Peter, Manuel; Cox, Daniel N; Simonneau, Michel; Oberlaender, Marcel; Jefferis, Gregory; Ito, Kei; Gonzalez-Bellido, Paloma; Kim, Jinhyun; Rubel, Edwin; Cline, Hollis T; Zeng, Hongkui; Nern, Aljoscha; Chiang, Ann-Shyn; Yao, Jianhua; Roskams, Jane; Livesey, Rick; Stevens, Janine; Liu, Tianming; Dang, Chinh; Guo, Yike; Zhong, Ning; Tourassi, Georgia; Hill, Sean; Hawrylycz, Michael; Koch, Christof; Meijering, Erik; Ascoli, Giorgio A; Peng, Hanchuan | |
| Bioimage Informatics for Big Data | 1-gen-2016 | Peng, Hanchuan; Zhou, Jie; Zhou, Zhi; Bria, Alessandro; Li, Yujie; Kleissas, Dean Mark; Drenkow, Nathan G; Long, Brian; Liu, Xiaoxiao; Chen, Hanbo | |
| Breast Mass Detection and Classification Using Transfer Learning on OPTIMAM Dataset Through RadImageNet Weights | 1-gen-2024 | Kassahun, R. K.; Molinara, M.; Bria, A.; Marrocco, C.; Tortorella, F. |