A survey on active learning and human-in-the-loop deep learning for medical image analysis von Budd, Samuel, Robinson, Emma C., Kainz, Bernhard

Volltext

Attention gated networks: Learning to leverage salient regions in medical images von Schlemper, Jo, Oktay, Ozan, Schaap, Michiel, Heinrich, Mattias, Kainz, Bernhard, Glocker, Ben, Rueckert, Daniel

Volltext

Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation von Oktay, Ozan, Ferrante, Enzo, Kamnitsas, Konstantinos, Heinrich, Mattias, Wenjia Bai, Caballero, Jose, Cook, Stuart A., de Marvao, Antonio, Dawes, Timothy, O'Regan, Declan P., Kainz, Bernhard, Glocker, Ben, Rueckert, Daniel

Volltext

Natural Synthetic Anomalies for Self-supervised Anomaly Detection and Localization von Schlüter, Hannah M., Tan, Jeremy, Hou, Benjamin, Kainz, Bernhard

Volltext

Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study von Dou, Qi, So, Tiffany Y., Jiang, Meirui, Liu, Quande, Vardhanabhuti, Varut, Kaissis, Georgios, Li, Zeju, Si, Weixin, Lee, Heather H. C., Yu, Kevin, Feng, Zuxin, Dong, Li, Burian, Egon, Jungmann, Friederike, Braren, Rickmer, Makowski, Marcus, Kainz, Bernhard, Rueckert, Daniel, Glocker, Ben, Yu, Simon C. H., Heng, Pheng Ann

Volltext

Automated cardiovascular magnetic resonance image analysis with fully convolutional networks von Bai, Wenjia, Sinclair, Matthew, Tarroni, Giacomo, Oktay, Ozan, Rajchl, Martin, Vaillant, Ghislain, Lee, Aaron M, Aung, Nay, Lukaschuk, Elena, Sanghvi, Mihir M, Zemrak, Filip, Fung, Kenneth, Paiva, Jose Miguel, Carapella, Valentina, Kim, Young Jin, Suzuki, Hideaki, Kainz, Bernhard, Matthews, Paul M, Petersen, Steffen E, Piechnik, Stefan K, Neubauer, Stefan, Glocker, Ben, Rueckert, Daniel

Volltext

Exploring the role of different cell types on cortical folding in the developing human brain through computational modeling von Zarzor, Mohammad Saeed, Ma, Qiang, Almurey, Median, Kainz, Bernhard, Budday, Silvia

Volltext

Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging von Meng, Qingjie, Housden, James, Matthew, Jacqueline, Rueckert, Daniel, Schnabel, Julia A., Kainz, Bernhard, Sinclair, Matthew, Zimmer, Veronika, Hou, Benjamin, Rajchl, Martin, Toussaint, Nicolas, Oktay, Ozan, Schlemper, Jo, Gomez, Alberto

Volltext

Mutual Information-Based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging von Meng, Qingjie, Matthew, Jacqueline, Zimmer, Veronika A., Gomez, Alberto, Lloyd, David F. A., Rueckert, Daniel, Kainz, Bernhard

Volltext

Artificial intelligence, fetal echocardiography, and congenital heart disease von Day, Thomas G., Kainz, Bernhard, Hajnal, Jo, Razavi, Reza, Simpson, John M.

Volltext

Automated quality control in image segmentation: application to the UK Biobank cardiovascular magnetic resonance imaging study von Robinson, Robert, Valindria, Vanya V, Bai, Wenjia, Oktay, Ozan, Kainz, Bernhard, Suzuki, Hideaki, Sanghvi, Mihir M, Aung, Nay, Paiva, José Miguel, Zemrak, Filip, Fung, Kenneth, Lukaschuk, Elena, Lee, Aaron M, Carapella, Valentina, Kim, Young Jin, Piechnik, Stefan K, Neubauer, Stefan, Petersen, Steffen E, Page, Chris, Matthews, Paul M, Rueckert, Daniel, Glocker, Ben

Volltext

Non-invasive diagnosis of deep vein thrombosis from ultrasound imaging with machine learning von Kainz, Bernhard, Heinrich, Mattias P., Makropoulos, Antonios, Oppenheimer, Jonas, Mandegaran, Ramin, Sankar, Shrinivasan, Deane, Christopher, Mischkewitz, Sven, Al-Noor, Fouad, Rawdin, Andrew C., Ruttloff, Andreas, Stevenson, Matthew D., Klein-Weigel, Peter, Curry, Nicola

Volltext

Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-Specific Atlas Maps von Budd, Samuel, Sinclair, Matthew, Day, Thomas, Vlontzos, Athanasios, Tan, Jeremy, Liu, Tianrui, Matthew, Jacqueline, Skelton, Emily, Simpson, John, Razavi, Reza, Glocker, Ben, Rueckert, Daniel, Robinson, Emma C., Kainz, Bernhard

Volltext

Automatic Shadow Detection in 2D Ultrasound Images von Meng, Qingjie, Baumgartner, Christian, Sinclair, Matthew, Housden, James, Rajchl, Martin, Gomez, Alberto, Hou, Benjamin, Toussaint, Nicolas, Zimmer, Veronika, Tan, Jeremy, Matthew, Jacqueline, Rueckert, Daniel, Schnabel, Julia, Kainz, Bernhard

Volltext

SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound von Baumgartner, Christian F., Kamnitsas, Konstantinos, Matthew, Jacqueline, Fletcher, Tara P., Smith, Sandra, Koch, Lisa M., Kainz, Bernhard, Rueckert, Daniel

Volltext

Video Summarization Through Reinforcement Learning With a 3D Spatio-Temporal U-Net von Liu, Tianrui, Meng, Qingjie, Huang, Jun-Jie, Vlontzos, Athanasios, Rueckert, Daniel, Kainz, Bernhard

Volltext

Evaluating reinforcement learning agents for anatomical landmark detection von Alansary, Amir, Oktay, Ozan, Li, Yuanwei, Folgoc, Loic Le, Hou, Benjamin, Vaillant, Ghislain, Kamnitsas, Konstantinos, Vlontzos, Athanasios, Glocker, Ben, Kainz, Bernhard, Rueckert, Daniel

Volltext

CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs von Ma, Qiang, Li, Liu, Robinson, Emma C., Kainz, Bernhard, Rueckert, Daniel, Alansary, Amir

Volltext

Reconstruction, Segmentation, and Analysis of Medical Images: First International Workshops, RAMBO 2016 and HVSMR 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, Octobe... von Zuluaga, Maria A, Bhatia, Kanwal, Kainz, Bernhard, Moghari, Mehdi H, Pace, Danielle F

Volltext

Image Distillation for Safe Data Sharing in Histopathology von Li, Zhe, Kainz, Bernhard

Volltext