Search Results - "Tizabi, Minu"

Surgical data science – from concepts toward clinical translation by 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, Roß, Tobias, 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

“…•First comprehensive review paper on Surgical Data Science.•Multi-round Delphi process with experts from 51 institutions to define open challenges and next…”
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Labelling instructions matter in biomedical image analysis by Rädsch, Tim, Reinke, Annika, Weru, Vivienn, Tizabi, Minu D., Schreck, Nicholas, Kavur, A. Emre, Pekdemir, Bünyamin, Roß, Tobias, Kopp-Schneider, Annette, Maier-Hein, Lena

“…Biomedical image analysis algorithm validation depends on high-quality annotation of reference datasets, for which labelling instructions are key. Despite…”
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Efficient Photoacoustic Image Synthesis with Deep Learning by Rix, Tom, Dreher, Kris K., Nölke, Jan-Hinrich, Schellenberg, Melanie, Tizabi, Minu D., Seitel, Alexander, Maier-Hein, Lena

“…Photoacoustic imaging potentially allows for the real-time visualization of functional human tissue parameters such as oxygenation but is subject to a…”
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Photoacoustic Quantification of Tissue Oxygenation Using Conditional Invertible Neural Networks by Nolke, Jan-Hinrich, Adler, Tim J., Schellenberg, Melanie, Dreher, Kris K., Holzwarth, Niklas, Bender, Christoph J., Tizabi, Minu D., Seitel, Alexander, Maier-Hein, Lena

“…Intelligent systems in interventional healthcare depend on the reliable perception of the environment. In this context, photoacoustic tomography (PAT) has…”
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Common Pitfalls and Recommendations for Grand Challenges in Medical Artificial Intelligence by Reinke, Annika, Tizabi, Minu D., Eisenmann, Matthias, Maier-Hein, Lena

“…With the impact of artificial intelligence (AI) algorithms on medical research on the rise, the importance of competitions for comparative validation of…”
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Semantic segmentation of multispectral photoacoustic images using deep learning by Schellenberg, Melanie, Dreher, Kris K., Holzwarth, Niklas, Isensee, Fabian, Reinke, Annika, Schreck, Nicholas, Seitel, Alexander, Tizabi, Minu D., Maier-Hein, Lena, Gröhl, Janek

“…Photoacoustic (PA) imaging has the potential to revolutionize functional medical imaging in healthcare due to the valuable information on tissue physiology…”
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Photoacoustic image synthesis with generative adversarial networks by Schellenberg, Melanie, Gröhl, Janek, Dreher, Kris K., Nölke, Jan-Hinrich, Holzwarth, Niklas, Tizabi, Minu D., Seitel, Alexander, Maier-Hein, Lena

“…Photoacoustic tomography (PAT) has the potential to recover morphological and functional tissue properties with high spatial resolution. However, previous…”
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SMARCE1 is required for the invasive progression of in situ cancers by Sokol, Ethan S., Feng, Yu-Xiong, Jin, Dexter X., Tizabi, Minu D., Miller, Daniel H., Cohen, Malkiel A., Sanduja, Sandhya, Reinhardt, Ferenc, Pandey, Jai, Superville, Daphne A., Jaenisch, Rudolf, Gupta, Piyush B.

“…Advances in mammography have sparked an exponential increase in the detection of early-stage breast lesions, most commonly ductal carcinoma in situ (DCIS)…”
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Heidelberg colorectal data set for surgical data science in the sensor operating room by 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 D., 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, Nickel, Felix, Probst, Pascal, 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,…”
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The SPECTRAL Perfusion Arm Clamping dAtaset (SPECTRALPACA) for video-rate functional imaging of the skin by Ayala, Leonardo, Mindroc-Filimon, Diana, Rees, Maike, Hübner, Marco, Sellner, Jan, Seidlitz, Silvia, Tizabi, Minu, Wirkert, Sebastian, Seitel, Alexander, Maier-Hein, Lena

“…Spectral imaging has the potential to become a key technique in interventional medicine as it unveils much richer optical information compared to conventional…”
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Tattoo tomography: Freehand 3D photoacoustic image reconstruction with an optical pattern by Holzwarth, Niklas, Schellenberg, Melanie, Gröhl, Janek, Dreher, Kris, Nölke, Jan-Hinrich, Seitel, Alexander, Tizabi, Minu D, Müller-Stich, Beat P, Maier-Hein, Lena

“…Purpose Photoacoustic tomography (PAT) is a novel imaging technique that can spatially resolve both morphological and functional tissue properties, such as…”
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Metrics reloaded: recommendations for image analysis validation by 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 B., 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, 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.

“…Increasing evidence shows that flaws in machine learning (ML) algorithm validation are an underestimated global problem. In biomedical image analysis, chosen…”
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Robust deep learning-based semantic organ segmentation in hyperspectral images by 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

“…•First study of optimal input modality and spatial granularity for organ segmentation.•Validation set of unprecedented size featuring 506 images annotated with…”
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Understanding metric-related pitfalls in image analysis validation by 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, Buettner, Florian, Cardoso, M. Jorge, Cheplygina, Veronika, Chen, Jianxu, Christodoulou, Evangelia, Cimini, Beth A., Farahani, Keyvan, Ferrer, Luciana, Galdran, Adrian, van Ginneken, Bram, Glocker, Ben, Godau, Patrick, Hashimoto, Daniel A., Hoffman, Michael M., Huisman, Merel, Isensee, Fabian, Jannin, Pierre, Kahn, Charles E., Kainmueller, Dagmar, Kainz, Bernhard, Karargyris, Alexandros, 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., 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, Summers, Ronald M., Taha, Abdel A., Tiulpin, Aleksei, Tsaftaris, Sotirios A., Van Calster, Ben, Varoquaux, Gaël, Yaniv, Ziv R., Jäger, Paul F., Maier-Hein, Lena

“…Validation metrics are key for tracking scientific progress and bridging the current chasm between artificial intelligence research and its translation into…”
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Spectral imaging enables contrast agent-free real-time ischemia monitoring in laparoscopic surgery by Ayala, Leonardo, Adler, Tim J, Seidlitz, Silvia, Wirkert, Sebastian, Engels, Christina, Seitel, Alexander, Sellner, Jan, Aksenov, Alexey, Bodenbach, Matthias, Bader, Pia, Baron, Sebastian, Vemuri, Anant, Wiesenfarth, Manuel, Schreck, Nicholas, Mindroc, Diana, Tizabi, Minu, Pirmann, Sebastian, Everitt, Brittaney, Kopp-Schneider, Annette, Teber, Dogu, Maier-Hein, Lena

“…Laparoscopic surgery has evolved as a key technique for cancer diagnosis and therapy. While characterization of the tissue perfusion is crucial in various…”
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Intraoperative Bildgebung und Visualisierung by Maier-Hein, Lena, Gockel, Ines, Speidel, Stefanie, Wendler, Thomas, Teber, Dogu, März, Keno, Tizabi, Minu, Nickel, Felix, Navab, Nassir, Müller-Stich, Beat

“…Zusammenfassung Hintergrund Die chirurgische Onkologie ist eine wichtige Säule in der interdisziplinären Tumorbehandlung. Die intraoperative Visualisierung von…”
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Quality Assured: Rethinking Annotation Strategies in Imaging AI by Rädsch, Tim, Reinke, Annika, Weru, Vivienn, Tizabi, Minu D, Heller, Nicholas, Isensee, Fabian, Kopp-Schneider, Annette, Maier-Hein, Lena

“…This paper does not describe a novel method. Instead, it studies an essential foundation for reliable benchmarking and ultimately real-world application of…”
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Deployment of Image Analysis Algorithms under Prevalence Shifts by Godau, Patrick, Kalinowski, Piotr, Christodoulou, Evangelia, Reinke, Annika, Tizabi, Minu, Ferrer, Luciana, Jäger, Paul, Maier-Hein, Lena

“…Domain gaps are among the most relevant roadblocks in the clinical translation of machine learning (ML)-based solutions for medical image analysis. While…”
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Xeno-learning: knowledge transfer across species in deep learning-based spectral image analysis by Sellner, Jan, Studier-Fischer, Alexander, Qasim, Ahmad Bin, Seidlitz, Silvia, Schreck, Nicholas, Tizabi, Minu, Wiesenfarth, Manuel, Kopp-Schneider, Annette, Knödler, Samuel, Haney, Caelan Max, Salg, Gabriel, Özdemir, Berkin, Dietrich, Maximilian, Michel, Maurice Stephan, Nickel, Felix, Kowalewski, Karl-Friedrich, Maier-Hein, Lena

“…Novel optical imaging techniques, such as hyperspectral imaging (HSI) combined with machine learning-based (ML) analysis, have the potential to revolutionize…”
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Application-driven Validation of Posteriors in Inverse Problems by Adler, Tim J, Nölke, Jan-Hinrich, Reinke, Annika, Tizabi, Minu Dietlinde, Gruber, Sebastian, Trofimova, Dasha, Ardizzone, Lynton, Jaeger, Paul F, Buettner, Florian, Köthe, Ullrich, Maier-Hein, Lena

“…Current deep learning-based solutions for image analysis tasks are commonly incapable of handling problems to which multiple different plausible solutions…”
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