U-Net: Convolutional Networks for Biomedical Image Segmentation von Ronneberger, Olaf, Fischer, Philipp, Brox, Thomas

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U-Net: deep learning for cell counting, detection, and morphometry von Falk, Thorsten, Mai, Dominic, Bensch, Robert, Çiçek, Özgün, Abdulkadir, Ahmed, Marrakchi, Yassine, Böhm, Anton, Deubner, Jan, Jäckel, Zoe, Seiwald, Katharina, Dovzhenko, Alexander, Tietz, Olaf, Dal Bosco, Cristina, Walsh, Sean, Saltukoglu, Deniz, Tay, Tuan Leng, Prinz, Marco, Palme, Klaus, Simons, Matias, Diester, Ilka, Brox, Thomas, Ronneberger, Olaf

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Highly accurate protein structure prediction for the human proteome von Tunyasuvunakool, Kathryn, Adler, Jonas, Wu, Zachary, Green, Tim, Zielinski, Michal, Žídek, Augustin, Bridgland, Alex, Cowie, Andrew, Meyer, Clemens, Laydon, Agata, Velankar, Sameer, Kleywegt, Gerard J., Bateman, Alex, Evans, Richard, Pritzel, Alexander, Figurnov, Michael, Ronneberger, Olaf, Bates, Russ, Kohl, Simon A. A., Potapenko, Anna, Ballard, Andrew J., Romera-Paredes, Bernardino, Nikolov, Stanislav, Jain, Rishub, Clancy, Ellen, Reiman, David, Petersen, Stig, Senior, Andrew W., Kavukcuoglu, Koray, Birney, Ewan, Kohli, Pushmeet, Jumper, John, Hassabis, Demis

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Clinically applicable deep learning for diagnosis and referral in retinal disease von De Fauw, Jeffrey, Ledsam, Joseph R., Romera-Paredes, Bernardino, Nikolov, Stanislav, Tomasev, Nenad, Blackwell, Sam, Askham, Harry, Glorot, Xavier, O’Donoghue, Brendan, Visentin, Daniel, van den Driessche, George, Lakshminarayanan, Balaji, Meyer, Clemens, Mackinder, Faith, Bouton, Simon, Ayoub, Kareem, Chopra, Reena, King, Dominic, Karthikesalingam, Alan, Hughes, Cían O., Raine, Rosalind, Hughes, Julian, Sim, Dawn A., Egan, Catherine, Tufail, Adnan, Montgomery, Hugh, Hassabis, Demis, Rees, Geraint, Back, Trevor, Khaw, Peng T., Suleyman, Mustafa, Cornebise, Julien, Keane, Pearse A., Ronneberger, Olaf

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Applying and improving AlphaFold at CASP14 von Jumper, John, Evans, Richard, Pritzel, Alexander, Green, Tim, Figurnov, Michael, Ronneberger, Olaf, Tunyasuvunakool, Kathryn, Bates, Russ, Žídek, Augustin, Potapenko, Anna, Bridgland, Alex, Meyer, Clemens, Kohl, Simon A. A., Ballard, Andrew J., Cowie, Andrew, Romera‐Paredes, Bernardino, Nikolov, Stanislav, Jain, Rishub, Adler, Jonas, Back, Trevor, Petersen, Stig, Reiman, David, Clancy, Ellen, Zielinski, Michal, Steinegger, Martin, Pacholska, Michalina, Berghammer, Tamas, Silver, David, Vinyals, Oriol, Senior, Andrew W., Kavukcuoglu, Koray, Kohli, Pushmeet, Hassabis, Demis

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Rotation-Invariant HOG Descriptors Using Fourier Analysis in Polar and Spherical Coordinates von Liu, Kun, Skibbe, Henrik, Schmidt, Thorsten, Blein, Thomas, Palme, Klaus, Brox, Thomas, Ronneberger, Olaf

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Gland segmentation in colon histology images: The glas challenge contest von Sirinukunwattana, Korsuk, Pluim, Josien P.W., Chen, Hao, Qi, Xiaojuan, Heng, Pheng-Ann, Guo, Yun Bo, Wang, Li Yang, Matuszewski, Bogdan J., Bruni, Elia, Sanchez, Urko, Böhm, Anton, Ronneberger, Olaf, Cheikh, Bassem Ben, Racoceanu, Daniel, Kainz, Philipp, Pfeiffer, Michael, Urschler, Martin, Snead, David R.J., Rajpoot, Nasir M.

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A benchmark for comparison of dental radiography analysis algorithms von Wang, Ching-Wei, Huang, Cheng-Ta, Lee, Jia-Hong, Li, Chung-Hsing, Chang, Sheng-Wei, Siao, Ming-Jhih, Lai, Tat-Ming, Ibragimov, Bulat, Vrtovec, Tomaž, Ronneberger, Olaf, Fischer, Philipp, Cootes, Tim F., Lindner, Claudia

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Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation Study von Nikolov, Stanislav, Blackwell, Sam, Zverovitch, Alexei, Mendes, Ruheena, Livne, Michelle, De Fauw, Jeffrey, Patel, Yojan, Meyer, Clemens, Askham, Harry, Romera-Paredes, Bernadino, Kelly, Christopher, Karthikesalingam, Alan, Chu, Carlton, Carnell, Dawn, Boon, Cheng, D'Souza, Derek, Moinuddin, Syed Ali, Garie, Bethany, McQuinlan, Yasmin, Ireland, Sarah, Hampton, Kiarna, Fuller, Krystle, Montgomery, Hugh, Rees, Geraint, Suleyman, Mustafa, Back, Trevor, Hughes, Cían Owen, Ledsam, Joseph R, Ronneberger, Olaf

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Author Correction: Microridge-like structures anchor motile cilia von Yasunaga, Takayuki, Wiegel, Johannes, Bergen, Max D., Helmstädter, Martin, Epting, Daniel, Paolini, Andrea, Çiçek, Özgün, Radziwill, Gerald, Engel, Christina, Brox, Thomas, Ronneberger, Olaf, Walentek, Peter, Ulbrich, Maximilian H., Walz, Gerd

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Microridge-like structures anchor motile cilia von Yasunaga, Takayuki, Wiegel, Johannes, Bergen, Max D., Helmstädter, Martin, Epting, Daniel, Paolini, Andrea, Çiçek, Özgün, Radziwill, Gerald, Engel, Christina, Brox, Thomas, Ronneberger, Olaf, Walentek, Peter, Ulbrich, Maximilian H., Walz, Gerd

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ViBE-Z: a framework for 3D virtual colocalization analysis in zebrafish larval brains von Ronneberger, Olaf, Liu, Kun, Rath, Meta, Rueβ, Dominik, Mueller, Thomas, Skibbe, Henrik, Drayer, Benjamin, Schmidt, Thorsten, Filippi, Alida, Nitschke, Roland, Brox, Thomas, Burkhardt, Hans, Driever, Wolfgang

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Author Correction: U-Net: deep learning for cell counting, detection, and morphometry von Falk, Thorsten, Mai, Dominic, Bensch, Robert, Çiçek, Özgün, Abdulkadir, Ahmed, Marrakchi, Yassine, Böhm, Anton, Deubner, Jan, Jäckel, Zoe, Seiwald, Katharina, Dovzhenko, Alexander, Tietz, Olaf, Bosco, Cristina Dal, Walsh, Sean, Saltukoglu, Deniz, Tay, Tuan Leng, Prinz, Marco, Palme, Klaus, Simons, Matias, Diester, Ilka, Brox, Thomas, Ronneberger, Olaf

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iRoCS Toolbox – 3D analysis of the plant root apical meristem at cellular resolution von Schmidt, Thorsten, Pasternak, Taras, Liu, Kun, Blein, Thomas, Aubry‐Hivet, Dorothée, Dovzhenko, Alexander, Duerr, Jasmin, Teale, William, Ditengou, Franck A, Burkhardt, Hans, Ronneberger, Olaf, Palme, Klaus

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The polarity protein Inturned links NPHP4 to Daam1 to control the subapical actin network in multiciliated cells von Yasunaga, Takayuki, Hoff, Sylvia, Schell, Christoph, Helmstädter, Martin, Kretz, Oliver, Kuechlin, Sebastian, Yakulov, Toma A, Engel, Christina, Müller, Barbara, Bensch, Robert, Ronneberger, Olaf, Huber, Tobias B, Lienkamp, Soeren S, Walz, Gerd

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Chemotaxonomic Identification of Single Bacteria by Micro-Raman Spectroscopy: Application to Clean-Room-Relevant Biological Contaminations von Rösch, Petra, Harz, Michaela, Schmitt, Michael, Peschke, Klaus-Dieter, Ronneberger, Olaf, Burkhardt, Hans, Motzkus, Hans-Walter, Lankers, Markus, Hofer, Stefan, Thiele, Hans, Popp, Jůrgen

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Data-Driven Modeling of Intracellular Auxin Fluxes Indicates a Dominant Role of the ER in Controlling Nuclear Auxin Uptake von Middleton, Alistair M., Dal Bosco, Cristina, Chlap, Phillip, Bensch, Robert, Harz, Hartmann, Ren, Fugang, Bergmann, Stefan, Wend, Sabrina, Weber, Wilfried, Hayashi, Ken-ichiro, Zurbriggen, Matias D., Uhl, Rainer, Ronneberger, Olaf, Palme, Klaus, Fleck, Christian, Dovzhenko, Alexander

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Amotl2a interacts with the Hippo effector Yap1 and the Wnt/β-catenin effector Lef1 to control tissue size in zebrafish von Agarwala, Sobhika, Duquesne, Sandra, Liu, Kun, Boehm, Anton, Grimm, Lin, Link, Sandra, König, Sabine, Eimer, Stefan, Ronneberger, Olaf, Lecaudey, Virginie

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Automated Processing of Zebrafish Imaging Data: A Survey von Mikut, Ralf, Dickmeis, Thomas, Driever, Wolfgang, Geurts, Pierre, Hamprecht, Fred A., Kausler, Bernhard X., Ledesma-Carbayo, María J., Marée, Raphaël, Mikula, Karol, Pantazis, Periklis, Ronneberger, Olaf, Santos, Andres, Stotzka, Rainer, Strähle, Uwe, Peyriéras, Nadine

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Non-directional radial intercalation dominates deep cell behavior during zebrafish epiboly von Bensch, Robert, Song, Sungmin, Ronneberger, Olaf, Driever, Wolfgang

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