Deep divergence-based approach to clustering von Kampffmeyer, Michael, Løkse, Sigurd, Bianchi, Filippo M., Livi, Lorenzo, Salberg, Arnt-Børre, Jenssen, Robert

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Advances in Biologically Inspired Reservoir Computing von Scardapane, Simone, Butcher, John B., Bianchi, Filippo M., Malik, Zeeshan K.

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The deep kernelized autoencoder von Kampffmeyer, Michael, Løkse, Sigurd, Bianchi, Filippo M., Jenssen, Robert, Livi, Lorenzo

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Deep Kernelized Autoencoders von Kampffmeyer, Michael, Løkse, Sigurd, Bianchi, Filippo M., Jenssen, Robert, Livi, Lorenzo

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Erlotinib versus docetaxel as second-line treatment of patients with advanced non-small-cell lung cancer and wild-type EGFR tumours (TAILOR): a randomised controlled trial von Garassino, Marina Chiara, MD, Martelli, Olga, MD, Broggini, Massimo, PhD, Farina, Gabriella, MD, Veronese, Silvio, PhD, Rulli, Eliana, PhD, Bianchi, Filippo, MD, Bettini, Anna, MD, Longo, Flavia, MD, Moscetti, Luca, MD, Tomirotti, Maurizio, MD, Marabese, Mirko, PhD, Ganzinelli, Monica, PhD, Lauricella, Calogero, PhD, Labianca, Roberto, MD, Floriani, Irene, PhD, Giaccone, Giuseppe, MD, Torri, Valter, MD, Scanni, Alberto, MD, Marsoni, Silvia, MD

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Spectral Clustering Using PCKID -- A Probabilistic Cluster Kernel for Incomplete Data von Løkse, Sigurd, Bianchi, Filippo M., Salberg, Arnt-Børre, Jenssen, Robert

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Remote sensing image regression for heterogeneous change detection von Luppino, Luigi Tommaso, Bianchi, Filippo Maria, Moser, Gabriele, Anfinsen, Stian Normann

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Unsupervised Image Regression for Heterogeneous Change Detection von Luppino, Luigi T, Bianchi, Filippo M, Moser, Gabriele, Anfinsen, Stian N

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Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images von Luppino, Luigi T, Hansen, Mads A, Kampffmeyer, Michael, Bianchi, Filippo M, Moser, Gabriele, Jenssen, Robert, Anfinsen, Stian N

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Remote sensing image regression for heterogeneous change detection von Luppino, Luigi T, Bianchi, Filippo M, Moser, Gabriele, Anfinsen, Stian N

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The Deep Kernelized Autoencoder von Kampffmeyer, Michael, Løkse, Sigurd, Bianchi, Filippo M, Jenssen, Robert, Livi, Lorenzo

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Deep Divergence-Based Approach to Clustering von Kampffmeyer, Michael, Løkse, Sigurd, Bianchi, Filippo M, Livi, Lorenzo, Arnt-Børre Salberg, Jenssen, Robert

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Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images von Luppino, Luigi T, Hansen, Mads A, Kampffmeyer, Michael, Bianchi, Filippo M, Moser, Gabriele, Jenssen, Robert, Anfinsen, Stian N

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Remote sensing image regression for heterogeneous change detection von Luppino, Luigi T, Bianchi, Filippo M, Moser, Gabriele, Anfinsen, Stian N

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ALK, ROS1, and NTRK Rearrangements in Metastatic Colorectal Cancer von Pietrantonio, Filippo, Di Nicolantonio, Federica, Schrock, Alexa B, Lee, Jeeyun, Tejpar, Sabine, Sartore-Bianchi, Andrea, Hechtman, Jaclyn F, Christiansen, Jason, Novara, Luca, Tebbutt, Niall, Fucà, Giovanni, Antoniotti, Carlotta, Kim, Seung Tae, Murphy, Danielle, Berenato, Rosa, Morano, Federica, Sun, James, Min, Bosun, Stephens, Philip J, Chen, Marissa, Lazzari, Luca, Miller, Vincent A, Shoemaker, Robert, Amatu, Alessio, Milione, Massimo, Ross, Jeffrey S, Siena, Salvatore, Bardelli, Alberto, Ali, Siraj M, Falcone, Alfredo, de Braud, Filippo, Cremolini, Chiara

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Large-Scale Detection and Categorization of Oil Spills from SAR Images with Deep Learning von Bianchi, Filippo Maria, Espeseth, Martine M., Borch, Njal

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Safety and Antitumor Activity of the Multitargeted Pan-TRK, ROS1, and ALK Inhibitor Entrectinib: Combined Results from Two Phase I Trials (ALKA-372-001 and STARTRK-1) von Drilon, Alexander, Siena, Salvatore, Ou, Sai-Hong Ignatius, Patel, Manish, Ahn, Myung Ju, Lee, Jeeyun, Bauer, Todd M, Farago, Anna F, Wheler, Jennifer J, Liu, Stephen V, Doebele, Robert, Giannetta, Laura, Cerea, Giulio, Marrapese, Giovanna, Schirru, Michele, Amatu, Alessio, Bencardino, Katia, Palmeri, Laura, Sartore-Bianchi, Andrea, Vanzulli, Angelo, Cresta, Sara, Damian, Silvia, Duca, Matteo, Ardini, Elena, Li, Gang, Christiansen, Jason, Kowalski, Karey, Johnson, Ann D, Patel, Rupal, Luo, David, Chow-Maneval, Edna, Hornby, Zachary, Multani, Pratik S, Shaw, Alice T, De Braud, Filippo G

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Multiparametric Magnetic Resonance Imaging as a Noninvasive Assessment of Tumor Response to Neoadjuvant Pembrolizumab in Muscle-invasive Bladder Cancer: Preliminary Findings from t... von Necchi, Andrea, Bandini, Marco, Calareso, Giuseppina, Raggi, Daniele, Pederzoli, Filippo, Farè, Elena, Colecchia, Maurizio, Marandino, Laura, Bianchi, Marco, Gallina, Andrea, Colombo, Renzo, Fossati, Nicola, Gandaglia, Giorgio, Capitanio, Umberto, Dehò, Federico, Giannatempo, Patrizia, Lucianò, Roberta, Salonia, Andrea, Madison, Russell, Ali, Siraj M., Chung, Jon H., Ross, Jeffrey S., Briganti, Alberto, Montorsi, Francesco, De Cobelli, Francesco, Messina, Antonella

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Updated Results of PURE-01 with Preliminary Activity of Neoadjuvant Pembrolizumab in Patients with Muscle-invasive Bladder Carcinoma with Variant Histologies von Necchi, Andrea, Raggi, Daniele, Gallina, Andrea, Madison, Russell, Colecchia, Maurizio, Lucianò, Roberta, Montironi, Rodolfo, Giannatempo, Patrizia, Farè, Elena, Pederzoli, Filippo, Bandini, Marco, Bianchi, Marco, Colombo, Renzo, Gandaglia, Giorgio, Fossati, Nicola, Marandino, Laura, Capitanio, Umberto, Dehò, Federico, Ali, Siraj M., Chung, Jon H., Ross, Jeffrey S., Salonia, Andrea, Briganti, Alberto, Montorsi, Francesco

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BRAF codons 594 and 596 mutations identify a new molecular subtype of metastatic colorectal cancer at favorable prognosis von Cremolini, C., Di Bartolomeo, M., Amatu, A., Antoniotti, C., Moretto, R., Berenato, R., Perrone, F., Tamborini, E., Aprile, G., Lonardi, S., Sartore-Bianchi, A., Fontanini, G., Milione, M., Lauricella, C., Siena, S., Falcone, A., de Braud, F., Loupakis, F., Pietrantonio, F.

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