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Karnam, Murali, Zelechowski, Marek, Communications Engineering, 4(1). https://doi.org/10.1038/s44172-025-00357-x
, Rauter, Georg, & Gerig, Nicolas. (2025). User-specified inverse kinematics taught in virtual reality reduce time and effort to hand-guide redundant surgical robots [Journal-article].
Karnam, Murali, Zelechowski, Marek, Communications Engineering, 4(1). https://doi.org/10.1038/s44172-025-00357-x
, Rauter, Georg, & Gerig, Nicolas. (2025). User-specified inverse kinematics taught in virtual reality reduce time and effort to hand-guide redundant surgical robots [Journal-article].
Valmaggia, Philippe, Wolleb, Julia, Bieder, Florentin, Scholl, Hendrik P. N., Scientific Reports, 15(1). https://doi.org/10.1038/s41598-024-84417-w
, & Maloca, Peter M. (2025). Heart-retina time analysis using electrocardiogram-coupled time-resolved dynamic optical coherence tomography.
Valmaggia, Philippe, Wolleb, Julia, Bieder, Florentin, Scholl, Hendrik P. N., Scientific Reports, 15(1). https://doi.org/10.1038/s41598-024-84417-w
, & Maloca, Peter M. (2025). Heart-retina time analysis using electrocardiogram-coupled time-resolved dynamic optical coherence tomography.
Bornstein, M. M., Staedler, Y. M., & Cattin, P. C. (2025). Artificial intelligence will change the research environment in dental medicine dramatically: will algorithms replace literature reviews in the near future? [Journal-article]. Dentomaxillofacial Radiology. https://doi.org/10.1093/dmfr/twaf041
Bornstein, M. M., Staedler, Y. M., & Cattin, P. C. (2025). Artificial intelligence will change the research environment in dental medicine dramatically: will algorithms replace literature reviews in the near future? [Journal-article]. Dentomaxillofacial Radiology. https://doi.org/10.1093/dmfr/twaf041
Corbaz, H., Ntoulias, N., Brehm, A., Wolleb, J., Cattin, P. C., Bieder, F., Schulze-Zachau, V., & Psychogios, M.-N. (2025). A Comparative Study of CT Perfusion Postprocessing Tools in Medium/Distal Vessel Occlusion Stroke [Journal-article]. American Journal of Neuroradiology. https://doi.org/10.3174/ajnr.a8616
Corbaz, H., Ntoulias, N., Brehm, A., Wolleb, J., Cattin, P. C., Bieder, F., Schulze-Zachau, V., & Psychogios, M.-N. (2025). A Comparative Study of CT Perfusion Postprocessing Tools in Medium/Distal Vessel Occlusion Stroke [Journal-article]. American Journal of Neuroradiology. https://doi.org/10.3174/ajnr.a8616
Schicklin, C., Rauter, G., Cattin, P. C., Eugster, M., & Braissant, O. (2025). Correction: Schicklin et al. Method to Generate Chlorine Dioxide Gas In Situ for Sterilization of Automated Incubators. Pathogens 2024, 13, 1024 [Journal-article]. Pathogens, 14(4), 368. https://doi.org/10.3390/pathogens14040368
Schicklin, C., Rauter, G., Cattin, P. C., Eugster, M., & Braissant, O. (2025). Correction: Schicklin et al. Method to Generate Chlorine Dioxide Gas In Situ for Sterilization of Automated Incubators. Pathogens 2024, 13, 1024 [Journal-article]. Pathogens, 14(4), 368. https://doi.org/10.3390/pathogens14040368
Sinues, Pablo, Richard, Mélina, Singh, Kapil, Sezer, Dilan, Buergler, Sarah, Palermo, Luana, Schulz, Yannick, Tang, Zhifeng, Luo, Xin, Frey, Urs, Pain induces a rapid characteristic metabolic signature detectable in breath. Research Square. https://doi.org/10.21203/rs.3.rs-6048423/v1
, Li, Xue, & Gaab, Jens. (2025).
Sinues, Pablo, Richard, Mélina, Singh, Kapil, Sezer, Dilan, Buergler, Sarah, Palermo, Luana, Schulz, Yannick, Tang, Zhifeng, Luo, Xin, Frey, Urs, Pain induces a rapid characteristic metabolic signature detectable in breath. Research Square. https://doi.org/10.21203/rs.3.rs-6048423/v1
, Li, Xue, & Gaab, Jens. (2025).
Maintz, Michaela, Desan, Nora, Sharma, Neha, Beinemann, Jörg, Beyer, Michel, Seiler, Daniel, Honigmann, Philipp, Soleman, Jehuda, Guzman, Raphael, International Journal of Computer Assisted Radiology and Surgery , 20(3), 513–524. https://doi.org/10.1007/s11548-024-03298-6
, & Thieringer, Florian M. (2025). Fronto-orbital advancement with patient-specific 3D-printed implants and robot-guided laser osteotomy: an in vitro accuracy assessment.
Maintz, Michaela, Desan, Nora, Sharma, Neha, Beinemann, Jörg, Beyer, Michel, Seiler, Daniel, Honigmann, Philipp, Soleman, Jehuda, Guzman, Raphael, International Journal of Computer Assisted Radiology and Surgery , 20(3), 513–524. https://doi.org/10.1007/s11548-024-03298-6
, & Thieringer, Florian M. (2025). Fronto-orbital advancement with patient-specific 3D-printed implants and robot-guided laser osteotomy: an in vitro accuracy assessment.
Oliveira, M. L., Schaub, S., Dagassan-Berndt, D., Bieder, F., Cattin, P. C., & Bornstein, M. M. (2025). Development and evaluation of a deep learning model to reduce exomass-related metal artefacts in cone-beam CT: an ex vivo study using porcine mandibles [Journal-article]. Dentomaxillofacial Radiology, 54(2), 109–117. https://doi.org/10.1093/dmfr/twae062
Oliveira, M. L., Schaub, S., Dagassan-Berndt, D., Bieder, F., Cattin, P. C., & Bornstein, M. M. (2025). Development and evaluation of a deep learning model to reduce exomass-related metal artefacts in cone-beam CT: an ex vivo study using porcine mandibles [Journal-article]. Dentomaxillofacial Radiology, 54(2), 109–117. https://doi.org/10.1093/dmfr/twae062
Birrer, Mathias, Saad, Baraa, Drews, Susanne, Pradella, Charlotte, Flaifel, Mariana, Charitakis, Emmanouil, Ortlieb, Niklas, Haberstroh, Amanda, Ochs, Vincent, Taha-Mehlitz, Stephanie, Burri, Emanuel, Heigl, Andres, Frey, Daniel M., Surgical Endoscopy , 39(1), 141–152. https://doi.org/10.1007/s00464-024-11450-1
, Honaker, Michael D., Taha, Anas, & Rosenberg, Robert. (2025). Radiofrequency ablation (RFA) in unresectable pancreatic adenocarcinoma: meta-analysis & systematic review.
Birrer, Mathias, Saad, Baraa, Drews, Susanne, Pradella, Charlotte, Flaifel, Mariana, Charitakis, Emmanouil, Ortlieb, Niklas, Haberstroh, Amanda, Ochs, Vincent, Taha-Mehlitz, Stephanie, Burri, Emanuel, Heigl, Andres, Frey, Daniel M., Surgical Endoscopy , 39(1), 141–152. https://doi.org/10.1007/s00464-024-11450-1
, Honaker, Michael D., Taha, Anas, & Rosenberg, Robert. (2025). Radiofrequency ablation (RFA) in unresectable pancreatic adenocarcinoma: meta-analysis & systematic review.
Durrer, Alicia, Wolleb, Julia, Bieder, Florentin, Friedrich, Paul, Melie-Garcia, Lester, Ocampo Pineda, Mario Alberto, Bercea, Cosmin I., Hamamci, Ibrahim Ethem, Wiestler, Benedikt, Piraud, Marie, Yaldizli, Oezguer, Granziera, Cristina, Menze, Bjoern, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , 15224 LNCS, 87–97. https://doi.org/10.1007/978-3-031-72744-3_9
, & Kofler, Florian. (2025). Denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting.
Durrer, Alicia, Wolleb, Julia, Bieder, Florentin, Friedrich, Paul, Melie-Garcia, Lester, Ocampo Pineda, Mario Alberto, Bercea, Cosmin I., Hamamci, Ibrahim Ethem, Wiestler, Benedikt, Piraud, Marie, Yaldizli, Oezguer, Granziera, Cristina, Menze, Bjoern, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , 15224 LNCS, 87–97. https://doi.org/10.1007/978-3-031-72744-3_9
, & Kofler, Florian. (2025). Denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting.
Friedrich, P., Frisch, Y., & Cattin, P. C. (2025). Deep Generative Models for 3D Medical Image Synthesis. In Generative Machine Learning Models in Medical Image Computing (pp. 255–278). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-80965-1_13
Friedrich, P., Frisch, Y., & Cattin, P. C. (2025). Deep Generative Models for 3D Medical Image Synthesis. In Generative Machine Learning Models in Medical Image Computing (pp. 255–278). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-80965-1_13
Friedrich, Paul, Wolleb, Julia, Bieder, Florentin, Durrer, Alicia, & Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 15224 LNCS, 11–21. https://doi.org/10.1007/978-3-031-72744-3_2
(2025). WDM: 3D Wavelet Diffusion Models for High-Resolution Medical Image Synthesis.
Friedrich, Paul, Wolleb, Julia, Bieder, Florentin, Durrer, Alicia, & Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 15224 LNCS, 11–21. https://doi.org/10.1007/978-3-031-72744-3_2
(2025). WDM: 3D Wavelet Diffusion Models for High-Resolution Medical Image Synthesis.
Wehrli, Michael, Durrer, Alicia, Friedrich, Paul, Buchakchiyskiy, Volodimir, Mumme, Marcus, Li, Edwin, Lehoczky, Gyozo, Hasler, Carol C., & International Journal of Computer Assisted Radiology and Surgery. https://doi.org/10.1007/s11548-025-03343-y
(2025). Generating 3D pseudo-healthy knee MR images to support trochleoplasty planning.
Wehrli, Michael, Durrer, Alicia, Friedrich, Paul, Buchakchiyskiy, Volodimir, Mumme, Marcus, Li, Edwin, Lehoczky, Gyozo, Hasler, Carol C., & International Journal of Computer Assisted Radiology and Surgery. https://doi.org/10.1007/s11548-025-03343-y
(2025). Generating 3D pseudo-healthy knee MR images to support trochleoplasty planning.
Manavi Roodsari, S., Freund, S., Angelmahr, M., Seppi, C., Rauter, G., Schade, W., & Cattin, P. C. (2024). Deep learning-based approach for high spatial resolution fibre shape sensing [Journal-article]. Communications Engineering, 3(1). https://doi.org/10.1038/s44172-024-00166-8
Manavi Roodsari, S., Freund, S., Angelmahr, M., Seppi, C., Rauter, G., Schade, W., & Cattin, P. C. (2024). Deep learning-based approach for high spatial resolution fibre shape sensing [Journal-article]. Communications Engineering, 3(1). https://doi.org/10.1038/s44172-024-00166-8
Manavi Roodsari, Samaneh, Freund, Sara, Angelmahr, Martin, Seppi, Carlo, Rauter, Georg, Schade, Wolfgang, & Communications Engineering, 3(1). https://doi.org/10.1038/s44172-024-00166-8
(2024). Deep learning-based approach for high spatial resolution fibre shape sensing [Journal-article].
Manavi Roodsari, Samaneh, Freund, Sara, Angelmahr, Martin, Seppi, Carlo, Rauter, Georg, Schade, Wolfgang, & Communications Engineering, 3(1). https://doi.org/10.1038/s44172-024-00166-8
(2024). Deep learning-based approach for high spatial resolution fibre shape sensing [Journal-article].
Ochs, Vincent, Tobler, Anja, Wolleb, Julia, Bieder, Florentin, Saad, Baraa, Enodien, Bassey, Fischer, Laura E., Honaker, Michael D., Drews, Susanne, Rosenblum, Ilan, Stoll, Reinhard, Probst, Pascal, Müller, Markus K., Lavanchy, Joël L., Taha-Mehlitz, Stephanie, Müller, Beat P., Rosenberg, Robert, Frey, Daniel M., Surgery for Obesity and Related Diseases, 20(12), 1234–1243. https://doi.org/10.1016/j.soard.2024.06.012
, & Taha, Anas. (2024). Development of predictive model for predicting postoperative BMI and optimize bariatric surgery: a single center pilot study.
Ochs, Vincent, Tobler, Anja, Wolleb, Julia, Bieder, Florentin, Saad, Baraa, Enodien, Bassey, Fischer, Laura E., Honaker, Michael D., Drews, Susanne, Rosenblum, Ilan, Stoll, Reinhard, Probst, Pascal, Müller, Markus K., Lavanchy, Joël L., Taha-Mehlitz, Stephanie, Müller, Beat P., Rosenberg, Robert, Frey, Daniel M., Surgery for Obesity and Related Diseases, 20(12), 1234–1243. https://doi.org/10.1016/j.soard.2024.06.012
, & Taha, Anas. (2024). Development of predictive model for predicting postoperative BMI and optimize bariatric surgery: a single center pilot study.
Schicklin, C., Rauter, G., Cattin, P. C., Eugster, M., & Braissant, O. (2024). Method to Generate Chlorine Dioxide Gas In Situ for Sterilization of Automated Incubators [Journal-article]. Pathogens, 13(11), 1024. https://doi.org/10.3390/pathogens13111024
Schicklin, C., Rauter, G., Cattin, P. C., Eugster, M., & Braissant, O. (2024). Method to Generate Chlorine Dioxide Gas In Situ for Sterilization of Automated Incubators [Journal-article]. Pathogens, 13(11), 1024. https://doi.org/10.3390/pathogens13111024
Saemann, Attill, de Wilde, Daniel, Rychen, Jonathan, Roethlisberger, Michel, Żelechowski, Marek, Faludi, Balázs, Brain Sciences, 14(10). https://doi.org/10.3390/brainsci14100968
, Psychogios, Marios-Nikos, Soleman, Jehuda, & Guzman, Raphael. (2024). Assessment of Interrater Reliability and Accuracy of Cerebral Aneurysm Morphometry Using 3D Virtual Reality, 2D Digital Subtraction Angiography, and 3D Reconstruction: A Randomized Comparative Study.
Saemann, Attill, de Wilde, Daniel, Rychen, Jonathan, Roethlisberger, Michel, Żelechowski, Marek, Faludi, Balázs, Brain Sciences, 14(10). https://doi.org/10.3390/brainsci14100968
, Psychogios, Marios-Nikos, Soleman, Jehuda, & Guzman, Raphael. (2024). Assessment of Interrater Reliability and Accuracy of Cerebral Aneurysm Morphometry Using 3D Virtual Reality, 2D Digital Subtraction Angiography, and 3D Reconstruction: A Randomized Comparative Study.
Kunz, Julia Madlaina, Maloca, Peter, Allemann, Andreas, Fasler, David, Soysal, Savas, Däster, Silvio, Kraljević, Marko, Syeda, Gulbahar, Weixler, Benjamin, Nebiker, Christian, Ochs, Vincent, Droeser, Raoul, Walker, Harriet Louise, Bolli, Martin, Müller, Beat, International Journal of Computer Assisted Radiology and Surgery, 19(9), 1677–1687. https://doi.org/10.1007/s11548-023-03048-0
, & Staubli, Sebastian Manuel. (2024). Assessment of resectability of pancreatic cancer using novel immersive high-performance virtual reality rendering of abdominal computed tomography and magnetic resonance imaging.
Kunz, Julia Madlaina, Maloca, Peter, Allemann, Andreas, Fasler, David, Soysal, Savas, Däster, Silvio, Kraljević, Marko, Syeda, Gulbahar, Weixler, Benjamin, Nebiker, Christian, Ochs, Vincent, Droeser, Raoul, Walker, Harriet Louise, Bolli, Martin, Müller, Beat, International Journal of Computer Assisted Radiology and Surgery, 19(9), 1677–1687. https://doi.org/10.1007/s11548-023-03048-0
, & Staubli, Sebastian Manuel. (2024). Assessment of resectability of pancreatic cancer using novel immersive high-performance virtual reality rendering of abdominal computed tomography and magnetic resonance imaging.
Kunz, Julia Madlaina, Maloca, Peter, Allemann, Andreas, Fasler, David, Soysal, Savas, Däster, Silvio, Kraljević, Marko, Syeda, Gulbahar, Weixler, Benjamin, Nebiker, Christian, Ochs, Vincent, Droeser, Raoul, Walker, Harriet Louise, Bolli, Martin, Müller, Beat, International Journal of Computer Assisted Radiology and Surgery, 19(9), 1677–1687. https://doi.org/10.1007/s11548-023-03048-0
, & Staubli, Sebastian Manuel. (2024). Assessment of resectability of pancreatic cancer using novel immersive high-performance virtual reality rendering of abdominal computed tomography and magnetic resonance imaging [Journal-article].
Kunz, Julia Madlaina, Maloca, Peter, Allemann, Andreas, Fasler, David, Soysal, Savas, Däster, Silvio, Kraljević, Marko, Syeda, Gulbahar, Weixler, Benjamin, Nebiker, Christian, Ochs, Vincent, Droeser, Raoul, Walker, Harriet Louise, Bolli, Martin, Müller, Beat, International Journal of Computer Assisted Radiology and Surgery, 19(9), 1677–1687. https://doi.org/10.1007/s11548-023-03048-0
, & Staubli, Sebastian Manuel. (2024). Assessment of resectability of pancreatic cancer using novel immersive high-performance virtual reality rendering of abdominal computed tomography and magnetic resonance imaging [Journal-article].
Greselin, Martina, Lu, Po-Jui, Melie-Garcia, Lester, Ocampo-Pineda, Mario, Galbusera, Riccardo, Cagol, Alessandro, Weigel, Matthias, de Oliveira Siebenborn, Nina, Ruberte, Esther, Benkert, Pascal, Müller, Stefanie, Finkener, Sebastian, Vehoff, Jochen, Disanto, Giulio, Findling, Oliver, Chan, Andrew, Salmen, Anke, Pot, Caroline, Bridel, Claire, et al. (2024). Contrast-Enhancing Lesion Segmentation in Multiple Sclerosis: A Deep Learning Approach Validated in a Multicentric Cohort [Journal-article]. Bioengineering, 11(8), 858. https://doi.org/10.3390/bioengineering11080858
Greselin, Martina, Lu, Po-Jui, Melie-Garcia, Lester, Ocampo-Pineda, Mario, Galbusera, Riccardo, Cagol, Alessandro, Weigel, Matthias, de Oliveira Siebenborn, Nina, Ruberte, Esther, Benkert, Pascal, Müller, Stefanie, Finkener, Sebastian, Vehoff, Jochen, Disanto, Giulio, Findling, Oliver, Chan, Andrew, Salmen, Anke, Pot, Caroline, Bridel, Claire, et al. (2024). Contrast-Enhancing Lesion Segmentation in Multiple Sclerosis: A Deep Learning Approach Validated in a Multicentric Cohort [Journal-article]. Bioengineering, 11(8), 858. https://doi.org/10.3390/bioengineering11080858
Taha-Mehlitz, Stephanie, Wentzler, Larissa, Angehrn, Fiorenzo, Hendie, Ahmad, Ochs, Vincent, Wolleb, Julia, Staartjes, Victor E., Enodien, Bassey, Baltuonis, Martinas, Vorburger, Stephan, Frey, Daniel M., Rosenberg, Robert, von Flüe, Markus, Müller-Stich, Beat, Surgical Endoscopy, 38(7), 3672–3683. https://doi.org/10.1007/s00464-024-10926-4
, Taha, Anas, & Steinemann, Daniel. (2024). Machine learning-based preoperative analytics for the prediction of anastomotic leakage in colorectal surgery: a swiss pilot study.
Taha-Mehlitz, Stephanie, Wentzler, Larissa, Angehrn, Fiorenzo, Hendie, Ahmad, Ochs, Vincent, Wolleb, Julia, Staartjes, Victor E., Enodien, Bassey, Baltuonis, Martinas, Vorburger, Stephan, Frey, Daniel M., Rosenberg, Robert, von Flüe, Markus, Müller-Stich, Beat, Surgical Endoscopy, 38(7), 3672–3683. https://doi.org/10.1007/s00464-024-10926-4
, Taha, Anas, & Steinemann, Daniel. (2024). Machine learning-based preoperative analytics for the prediction of anastomotic leakage in colorectal surgery: a swiss pilot study.
Taha-Mehlitz, Stephanie, Wentzler, Larissa, Angehrn, Fiorenzo, Hendie, Ahmad, Ochs, Vincent, Wolleb, Julia, Staartjes, Victor E., Enodien, Bassey, Baltuonis, Martinas, Vorburger, Stephan, Frey, Daniel M., Rosenberg, Robert, von Flüe, Markus, Müller-Stich, Beat, Surgical Endoscopy, 38(7), 3672–3683. https://doi.org/10.1007/s00464-024-10926-4
, Taha, Anas, & Steinemann, Daniel. (2024). Machine learning-based preoperative analytics for the prediction of anastomotic leakage in colorectal surgery: a swiss pilot study [Journal-article].
Taha-Mehlitz, Stephanie, Wentzler, Larissa, Angehrn, Fiorenzo, Hendie, Ahmad, Ochs, Vincent, Wolleb, Julia, Staartjes, Victor E., Enodien, Bassey, Baltuonis, Martinas, Vorburger, Stephan, Frey, Daniel M., Rosenberg, Robert, von Flüe, Markus, Müller-Stich, Beat, Surgical Endoscopy, 38(7), 3672–3683. https://doi.org/10.1007/s00464-024-10926-4
, Taha, Anas, & Steinemann, Daniel. (2024). Machine learning-based preoperative analytics for the prediction of anastomotic leakage in colorectal surgery: a swiss pilot study [Journal-article].
Valmaggia, Philippe, Investigative Ophthalmology and Visual Science, 65(6). https://doi.org/10.1167/iovs.65.6.9
, Sandkühler, Robin, Inglin, Nadja, Otto, Tilman P., Aumann, Silke, Teussink, Michel M., Spaide, Richard F., Scholl, Hendrik P.N., & Maloca, Peter M. (2024). Time-Resolved Dynamic Optical Coherence Tomography for Retinal Blood Flow Analysis.
Valmaggia, Philippe, Investigative Ophthalmology and Visual Science, 65(6). https://doi.org/10.1167/iovs.65.6.9
, Sandkühler, Robin, Inglin, Nadja, Otto, Tilman P., Aumann, Silke, Teussink, Michel M., Spaide, Richard F., Scholl, Hendrik P.N., & Maloca, Peter M. (2024). Time-Resolved Dynamic Optical Coherence Tomography for Retinal Blood Flow Analysis.
Nahhas, M. K., Gerig, N., Cattin, P., Wilhelm, E., Türp, J. C., & Rauter, G. (2024). Reviewing the potential of hearables for the assessment of bruxism Litareturrecherche zur Eignung von Hearables für die Erkennung von Bruxismus. At-Automatisierungstechnik, 72(5), 389–398. https://doi.org/10.1515/auto-2024-0029
Nahhas, M. K., Gerig, N., Cattin, P., Wilhelm, E., Türp, J. C., & Rauter, G. (2024). Reviewing the potential of hearables for the assessment of bruxism Litareturrecherche zur Eignung von Hearables für die Erkennung von Bruxismus. At-Automatisierungstechnik, 72(5), 389–398. https://doi.org/10.1515/auto-2024-0029
Taha, Anas, Saad, Baraa, Taha-Mehlitz, Stephanie, Ochs, Vincent, El-Awar, Joelle, Mourad, Mohammed M., Neumann, Katerina, Glaser, Christine, Rosenberg, Robert, & American Journal of Surgery, 229, 57–64. https://doi.org/10.1016/j.amjsurg.2023.11.019
(2024). Analysis of artificial intelligence in thyroid diagnostics and surgery: A scoping review.
Taha, Anas, Saad, Baraa, Taha-Mehlitz, Stephanie, Ochs, Vincent, El-Awar, Joelle, Mourad, Mohammed M., Neumann, Katerina, Glaser, Christine, Rosenberg, Robert, & American Journal of Surgery, 229, 57–64. https://doi.org/10.1016/j.amjsurg.2023.11.019
(2024). Analysis of artificial intelligence in thyroid diagnostics and surgery: A scoping review.
Ochs, Vincent, Saad, Baraa, Taha-Mehlitz, Stephanie, Stäubli, Sebastain, Neumann, Katerina, Fischer, Laura, Honaker, Michael D., Lamm, Sebastian, Rosenberg, Robert, Taha, Anas, & International Journal of Medical Robotics and Computer Assisted Surgery, 20(1). https://doi.org/10.1002/rcs.2623
(2024). An analysis of virtual reality in abdominal surgery—A scoping review [Journal-article].
Ochs, Vincent, Saad, Baraa, Taha-Mehlitz, Stephanie, Stäubli, Sebastain, Neumann, Katerina, Fischer, Laura, Honaker, Michael D., Lamm, Sebastian, Rosenberg, Robert, Taha, Anas, & International Journal of Medical Robotics and Computer Assisted Surgery, 20(1). https://doi.org/10.1002/rcs.2623
(2024). An analysis of virtual reality in abdominal surgery—A scoping review [Journal-article].
Ochs, Vincent, Saad, Baraa, Taha‐Mehlitz, Stephanie, Staubli, Sebastian, Neumann, Katerina, Fischer, Laura, Honaker, Michael D., Lamm, Sebastian, Rosenberg, Robert, Taha, Anas, & International Journal of Medical Robotics and Computer Assisted Surgery, 20(1). https://doi.org/10.1002/rcs.2623
(2024). An analysis of virtual reality in abdominal surgery—A scoping review [Journal-article].
Ochs, Vincent, Saad, Baraa, Taha‐Mehlitz, Stephanie, Staubli, Sebastian, Neumann, Katerina, Fischer, Laura, Honaker, Michael D., Lamm, Sebastian, Rosenberg, Robert, Taha, Anas, & International Journal of Medical Robotics and Computer Assisted Surgery, 20(1). https://doi.org/10.1002/rcs.2623
(2024). An analysis of virtual reality in abdominal surgery—A scoping review [Journal-article].
Cagol, Alessandro, Benkert, Pascal, Melie-Garcia, Lester, Schaedelin, Sabine A., Leber, Selina, Tsagkas, Charidimos, Barakovic, Muhamed, Galbusera, Riccardo, Lu, Po-Jui, Weigel, Matthias, Ruberte, Esther, Radue, Ernst-Wilhelm, Yaldizli, Özgür, Oechtering, Johanna, Lorscheider, Johannes, D’Souza, Marcus, Fischer-Barnicol, Bettina, Muller, Stefanie, Achtnichts, Lutz, et al. (2024). Association of Spinal Cord Atrophy and Brain Paramagnetic Rim Lesions With Progression Independent of Relapse Activity in People With MS. Neurology, 102(1). https://doi.org/10.1212/WNL.0000000000207768
Cagol, Alessandro, Benkert, Pascal, Melie-Garcia, Lester, Schaedelin, Sabine A., Leber, Selina, Tsagkas, Charidimos, Barakovic, Muhamed, Galbusera, Riccardo, Lu, Po-Jui, Weigel, Matthias, Ruberte, Esther, Radue, Ernst-Wilhelm, Yaldizli, Özgür, Oechtering, Johanna, Lorscheider, Johannes, D’Souza, Marcus, Fischer-Barnicol, Bettina, Muller, Stefanie, Achtnichts, Lutz, et al. (2024). Association of Spinal Cord Atrophy and Brain Paramagnetic Rim Lesions With Progression Independent of Relapse Activity in People With MS. Neurology, 102(1). https://doi.org/10.1212/WNL.0000000000207768
Cagol, Alessandro, Benkert, Pascal, Melie-Garcia, Lester, Schaedelin, Sabine A., Leber, Selina, Tsagkas, Charidimos, Barakovic, Muhamed, Galbusera, Riccardo, Lu, Po-Jui, Weigel, Matthias, Ruberte, Esther, Radue, Ernst-Wilhelm, Yaldizli, Özgür, Oechtering, Johanna, Lorscheider, Johannes, D’Souza, Marcus, Fischer-Barnicol, Bettina, Müller, Stefanie, Achtnichts, Lutz, et al. (2024). Association of Spinal Cord Atrophy and Brain Paramagnetic Rim Lesions With Progression Independent of Relapse Activity in People With MS [Journal-article]. Neurology, 102(1). https://doi.org/10.1212/wnl.0000000000207768
Cagol, Alessandro, Benkert, Pascal, Melie-Garcia, Lester, Schaedelin, Sabine A., Leber, Selina, Tsagkas, Charidimos, Barakovic, Muhamed, Galbusera, Riccardo, Lu, Po-Jui, Weigel, Matthias, Ruberte, Esther, Radue, Ernst-Wilhelm, Yaldizli, Özgür, Oechtering, Johanna, Lorscheider, Johannes, D’Souza, Marcus, Fischer-Barnicol, Bettina, Müller, Stefanie, Achtnichts, Lutz, et al. (2024). Association of Spinal Cord Atrophy and Brain Paramagnetic Rim Lesions With Progression Independent of Relapse Activity in People With MS [Journal-article]. Neurology, 102(1). https://doi.org/10.1212/wnl.0000000000207768
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