Zobrazeno 1 - 10
of 464
pro vyhledávání: '"Kenngott, Hannes"'
Autor:
Reinke, Annika, Tizabi, Minu D., Baumgartner, Michael, Eisenmann, Matthias, Heckmann-Nötzel, Doreen, Kavur, A. Emre, Rädsch, Tim, Sudre, Carole H., Acion, Laura, Antonelli, Michela, Arbel, Tal, Bakas, Spyridon, Benis, Arriel, Blaschko, Matthew, Buettner, Florian, Cardoso, M. Jorge, Cheplygina, Veronika, Chen, Jianxu, Christodoulou, Evangelia, Cimini, Beth A., Collins, Gary S., Farahani, Keyvan, Ferrer, Luciana, Galdran, Adrian, van Ginneken, Bram, Glocker, Ben, Godau, Patrick, Haase, Robert, Hashimoto, Daniel A., Hoffman, Michael M., Huisman, Merel, Isensee, Fabian, Jannin, Pierre, Kahn, Charles E., Kainmueller, Dagmar, Kainz, Bernhard, Karargyris, Alexandros, Karthikesalingam, Alan, Kenngott, Hannes, Kleesiek, Jens, Kofler, Florian, Kooi, Thijs, Kopp-Schneider, Annette, Kozubek, Michal, Kreshuk, Anna, Kurc, Tahsin, Landman, Bennett A., Litjens, Geert, Madani, Amin, Maier-Hein, Klaus, Martel, Anne L., Mattson, Peter, Meijering, Erik, Menze, Bjoern, Moons, Karel G. M., Müller, Henning, Nichyporuk, Brennan, Nickel, Felix, Petersen, Jens, Rafelski, Susanne M., Rajpoot, Nasir, Reyes, Mauricio, Riegler, Michael A., Rieke, Nicola, Saez-Rodriguez, Julio, Sánchez, Clara I., Shetty, Shravya, van Smeden, Maarten, Summers, Ronald M., Taha, Abdel A., Tiulpin, Aleksei, Tsaftaris, Sotirios A., Van Calster, Ben, Varoquaux, Gaël, Wiesenfarth, Manuel, Yaniv, Ziv R., Jäger, Paul F., Maier-Hein, Lena
Publikováno v:
Nature methods, 1-13 (2024)
Validation metrics are key for the reliable tracking of scientific progress and for bridging the current chasm between artificial intelligence (AI) research and its translation into practice. However, increasing evidence shows that particularly in im
Externí odkaz:
http://arxiv.org/abs/2302.01790
Autor:
Maier-Hein, Lena, Reinke, Annika, Godau, Patrick, Tizabi, Minu D., Buettner, Florian, Christodoulou, Evangelia, Glocker, Ben, Isensee, Fabian, Kleesiek, Jens, Kozubek, Michal, Reyes, Mauricio, Riegler, Michael A., Wiesenfarth, Manuel, Kavur, A. Emre, Sudre, Carole H., Baumgartner, Michael, Eisenmann, Matthias, Heckmann-Nötzel, Doreen, Rädsch, Tim, Acion, Laura, Antonelli, Michela, Arbel, Tal, Bakas, Spyridon, Benis, Arriel, Blaschko, Matthew, Cardoso, M. Jorge, Cheplygina, Veronika, Cimini, Beth A., Collins, Gary S., Farahani, Keyvan, Ferrer, Luciana, Galdran, Adrian, van Ginneken, Bram, Haase, Robert, Hashimoto, Daniel A., Hoffman, Michael M., Huisman, Merel, Jannin, Pierre, Kahn, Charles E., Kainmueller, Dagmar, Kainz, Bernhard, Karargyris, Alexandros, Karthikesalingam, Alan, Kenngott, Hannes, Kofler, Florian, Kopp-Schneider, Annette, Kreshuk, Anna, Kurc, Tahsin, Landman, Bennett A., Litjens, Geert, Madani, Amin, Maier-Hein, Klaus, Martel, Anne L., Mattson, Peter, Meijering, Erik, Menze, Bjoern, Moons, Karel G. M., Müller, Henning, Nichyporuk, Brennan, Nickel, Felix, Petersen, Jens, Rajpoot, Nasir, Rieke, Nicola, Saez-Rodriguez, Julio, Sánchez, Clara I., Shetty, Shravya, van Smeden, Maarten, Summers, Ronald M., Taha, Abdel A., Tiulpin, Aleksei, Tsaftaris, Sotirios A., Van Calster, Ben, Varoquaux, Gaël, Jäger, Paul F.
Publikováno v:
Nature methods, 1-18 (2024)
Increasing evidence shows that flaws in machine learning (ML) algorithm validation are an underestimated global problem. Particularly in automatic biomedical image analysis, chosen performance metrics often do not reflect the domain interest, thus fa
Externí odkaz:
http://arxiv.org/abs/2206.01653
Autor:
Seidlitz, Silvia, Sellner, Jan, Odenthal, Jan, Özdemir, Berkin, Studier-Fischer, Alexander, Knödler, Samuel, Ayala, Leonardo, Adler, Tim J., Kenngott, Hannes G., Tizabi, Minu, Wagner, Martin, Nickel, Felix, Müller-Stich, Beat P., Maier-Hein, Lena
Publikováno v:
Medical Image Analysis, Volume 80, 2022, 102488, ISSN 1361-8415
Semantic image segmentation is an important prerequisite for context-awareness and autonomous robotics in surgery. The state of the art has focused on conventional RGB video data acquired during minimally invasive surgery, but full-scene semantic seg
Externí odkaz:
http://arxiv.org/abs/2111.05408
Autor:
Wagner, Martin, Müller-Stich, Beat-Peter, Kisilenko, Anna, Tran, Duc, Heger, Patrick, Mündermann, Lars, Lubotsky, David M, Müller, Benjamin, Davitashvili, Tornike, Capek, Manuela, Reinke, Annika, Yu, Tong, Vardazaryan, Armine, Nwoye, Chinedu Innocent, Padoy, Nicolas, Liu, Xinyang, Lee, Eung-Joo, Disch, Constantin, Meine, Hans, Xia, Tong, Jia, Fucang, Kondo, Satoshi, Reiter, Wolfgang, Jin, Yueming, Long, Yonghao, Jiang, Meirui, Dou, Qi, Heng, Pheng Ann, Twick, Isabell, Kirtac, Kadir, Hosgor, Enes, Bolmgren, Jon Lindström, Stenzel, Michael, von Siemens, Björn, Kenngott, Hannes G., Nickel, Felix, von Frankenberg, Moritz, Mathis-Ullrich, Franziska, Maier-Hein, Lena, Speidel, Stefanie, Bodenstedt, Sebastian
PURPOSE: Surgical workflow and skill analysis are key technologies for the next generation of cognitive surgical assistance systems. These systems could increase the safety of the operation through context-sensitive warnings and semi-autonomous robot
Externí odkaz:
http://arxiv.org/abs/2109.14956
Autor:
Reinke, Annika, Tizabi, Minu D., Sudre, Carole H., Eisenmann, Matthias, Rädsch, Tim, Baumgartner, Michael, Acion, Laura, Antonelli, Michela, Arbel, Tal, Bakas, Spyridon, Bankhead, Peter, Benis, Arriel, Blaschko, Matthew, Buettner, Florian, Cardoso, M. Jorge, Chen, Jianxu, Cheplygina, Veronika, Christodoulou, Evangelia, Cimini, Beth, Collins, Gary S., Engelhardt, Sandy, Farahani, Keyvan, Ferrer, Luciana, Galdran, Adrian, van Ginneken, Bram, Glocker, Ben, Godau, Patrick, Haase, Robert, Hamprecht, Fred, Hashimoto, Daniel A., Heckmann-Nötzel, Doreen, Hirsch, Peter, Hoffman, Michael M., Huisman, Merel, Isensee, Fabian, Jannin, Pierre, Kahn, Charles E., Kainmueller, Dagmar, Kainz, Bernhard, Karargyris, Alexandros, Karthikesalingam, Alan, Kavur, A. Emre, Kenngott, Hannes, Kleesiek, Jens, Kleppe, Andreas, Kohler, Sven, Kofler, Florian, Kopp-Schneider, Annette, Kooi, Thijs, Kozubek, Michal, Kreshuk, Anna, Kurc, Tahsin, Landman, Bennett A., Litjens, Geert, Madani, Amin, Maier-Hein, Klaus, Martel, Anne L., Mattson, Peter, Meijering, Erik, Menze, Bjoern, Moher, David, Moons, Karel G. M., Müller, Henning, Nichyporuk, Brennan, Nickel, Felix, Noyan, M. Alican, Petersen, Jens, Polat, Gorkem, Rafelski, Susanne M., Rajpoot, Nasir, Reyes, Mauricio, Rieke, Nicola, Riegler, Michael, Rivaz, Hassan, Saez-Rodriguez, Julio, Sánchez, Clara I., Schroeter, Julien, Saha, Anindo, Selver, M. Alper, Sharan, Lalith, Shetty, Shravya, van Smeden, Maarten, Stieltjes, Bram, Summers, Ronald M., Taha, Abdel A., Tiulpin, Aleksei, Tsaftaris, Sotirios A., Van Calster, Ben, Varoquaux, Gaël, Wiesenfarth, Manuel, Yaniv, Ziv R., Jäger, Paul, Maier-Hein, Lena
While the importance of automatic image analysis is continuously increasing, recent meta-research revealed major flaws with respect to algorithm validation. Performance metrics are particularly key for meaningful, objective, and transparent performan
Externí odkaz:
http://arxiv.org/abs/2104.05642
Autor:
Maier-Hein, Lena, Eisenmann, Matthias, Sarikaya, Duygu, März, Keno, Collins, Toby, Malpani, Anand, Fallert, Johannes, Feussner, Hubertus, Giannarou, Stamatia, Mascagni, Pietro, Nakawala, Hirenkumar, Park, Adrian, Pugh, Carla, Stoyanov, Danail, Vedula, Swaroop S., Cleary, Kevin, Fichtinger, Gabor, Forestier, Germain, Gibaud, Bernard, Grantcharov, Teodor, Hashizume, Makoto, Heckmann-Nötzel, Doreen, Kenngott, Hannes G., Kikinis, Ron, Mündermann, Lars, Navab, Nassir, Onogur, Sinan, Sznitman, Raphael, Taylor, Russell H., Tizabi, Minu D., Wagner, Martin, Hager, Gregory D., Neumuth, Thomas, Padoy, Nicolas, Collins, Justin, Gockel, Ines, Goedeke, Jan, Hashimoto, Daniel A., Joyeux, Luc, Lam, Kyle, Leff, Daniel R., Madani, Amin, Marcus, Hani J., Meireles, Ozanan, Seitel, Alexander, Teber, Dogu, Ückert, Frank, Müller-Stich, Beat P., Jannin, Pierre, Speidel, Stefanie
Recent developments in data science in general and machine learning in particular have transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a new research field that aims to improve the quality of interventional
Externí odkaz:
http://arxiv.org/abs/2011.02284
Autor:
Maier-Hein, Lena, Wagner, Martin, Ross, Tobias, Reinke, Annika, Bodenstedt, Sebastian, Full, Peter M., Hempe, Hellena, Mindroc-Filimon, Diana, Scholz, Patrick, Tran, Thuy Nuong, Bruno, Pierangela, Kisilenko, Anna, Müller, Benjamin, Davitashvili, Tornike, Capek, Manuela, Tizabi, Minu, Eisenmann, Matthias, Adler, Tim J., Gröhl, Janek, Schellenberg, Melanie, Seidlitz, Silvia, Lai, T. Y. Emmy, Pekdemir, Bünyamin, Roethlingshoefer, Veith, Both, Fabian, Bittel, Sebastian, Mengler, Marc, Mündermann, Lars, Apitz, Martin, Kopp-Schneider, Annette, Speidel, Stefanie, Kenngott, Hannes G., Müller-Stich, Beat P.
Image-based tracking of medical instruments is an integral part of surgical data science applications. Previous research has addressed the tasks of detecting, segmenting and tracking medical instruments based on laparoscopic video data. However, the
Externí odkaz:
http://arxiv.org/abs/2005.03501
Autor:
Ross, Tobias, Reinke, Annika, Full, Peter M., Wagner, Martin, Kenngott, Hannes, Apitz, Martin, Hempe, Hellena, Filimon, Diana Mindroc, Scholz, Patrick, Tran, Thuy Nuong, Bruno, Pierangela, Arbeláez, Pablo, Bian, Gui-Bin, Bodenstedt, Sebastian, Bolmgren, Jon Lindström, Bravo-Sánchez, Laura, Chen, Hua-Bin, González, Cristina, Guo, Dong, Halvorsen, Pål, Heng, Pheng-Ann, Hosgor, Enes, Hou, Zeng-Guang, Isensee, Fabian, Jha, Debesh, Jiang, Tingting, Jin, Yueming, Kirtac, Kadir, Kletz, Sabrina, Leger, Stefan, Li, Zhixuan, Maier-Hein, Klaus H., Ni, Zhen-Liang, Riegler, Michael A., Schoeffmann, Klaus, Shi, Ruohua, Speidel, Stefanie, Stenzel, Michael, Twick, Isabell, Wang, Gutai, Wang, Jiacheng, Wang, Liansheng, Wang, Lu, Zhang, Yujie, Zhou, Yan-Jie, Zhu, Lei, Wiesenfarth, Manuel, Kopp-Schneider, Annette, Müller-Stich, Beat P., Maier-Hein, Lena
Intraoperative tracking of laparoscopic instruments is often a prerequisite for computer and robotic-assisted interventions. While numerous methods for detecting, segmenting and tracking of medical instruments based on endoscopic video images have be
Externí odkaz:
http://arxiv.org/abs/2003.10299
Autor:
Adler, Tim J., Ayala, Leonardo, Ardizzone, Lynton, Kenngott, Hannes G., Vemuri, Anant, Müller-Stich, Beat P., Rother, Carsten, Köthe, Ullrich, Maier-Hein, Lena
Publikováno v:
Proceedings of the First International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2019, and the 8th International Workshop on Clinical Image-Based Procedures, CLIP 2019
Multispectral optical imaging is becoming a key tool in the operating room. Recent research has shown that machine learning algorithms can be used to convert pixel-wise reflectance measurements to tissue parameters, such as oxygenation. However, the
Externí odkaz:
http://arxiv.org/abs/1911.01877
Autor:
Wagner, Martin, Müller-Stich, Beat-Peter, Kisilenko, Anna, Tran, Duc, Heger, Patrick, Mündermann, Lars, Lubotsky, David M, Müller, Benjamin, Davitashvili, Tornike, Capek, Manuela, Reinke, Annika, Reid, Carissa, Yu, Tong, Vardazaryan, Armine, Nwoye, Chinedu Innocent, Padoy, Nicolas, Liu, Xinyang, Lee, Eung-Joo, Disch, Constantin, Meine, Hans, Xia, Tong, Jia, Fucang, Kondo, Satoshi, Reiter, Wolfgang, Jin, Yueming, Long, Yonghao, Jiang, Meirui, Dou, Qi, Heng, Pheng Ann, Twick, Isabell, Kirtac, Kadir, Hosgor, Enes, Bolmgren, Jon Lindström, Stenzel, Michael, von Siemens, Björn, Zhao, Long, Ge, Zhenxiao, Sun, Haiming, Xie, Di, Guo, Mengqi, Liu, Daochang, Kenngott, Hannes G., Nickel, Felix, Frankenberg, Moritz von, Mathis-Ullrich, Franziska, Kopp-Schneider, Annette, Maier-Hein, Lena, Speidel, Stefanie, Bodenstedt, Sebastian
Publikováno v:
In Medical Image Analysis May 2023 86