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ORCIDSandy Engelhardt
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- affiliation: University of Heidelberg, Germany
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2020 – today
- 2025
[e4]Anirban Mukhopadhyay
, Ilkay Öksüz, Sandy Engelhardt, Dorit Mehrof, Yixuan Yuan:
Deep Generative Models - 4th MICCAI Workshop, DGM4MICCAI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings. Lecture Notes in Computer Science 15224, Springer 2025, ISBN 978-3-031-72743-6 [contents]- 2024
- [j17]Roger Karl, Gabriele Romano, Josephin Marx, Matthias Eden, Philipp Schlegel, Lubov Stroh, Samantha Fischer, Maximilian Hehl, Reinald Kühle, Lukas Mohl, Matthias Karck, Norbert Frey, Raffaele De Simone, Sandy Engelhardt:
An ex-vivo and in-vitro dynamic simulator for surgical and transcatheter mitral valve interventions. Int. J. Comput. Assist. Radiol. Surg. 19(3): 411-421 (2024) - [j16]Georgii Kostiuchik, Lalith Sharan, Benedikt Mayer, Ivo Wolf, Bernhard Preim, Sandy Engelhardt:
Surgical phase and instrument recognition: how to identify appropriate dataset splits. Int. J. Comput. Assist. Radiol. Surg. 19(4): 699-711 (2024) - [c38]Salman Ul Hassan Dar, Isabelle Ayx, Marie Kapusta, Theano Papavassiliu, Stefan O. Schönberg, Sandy Engelhardt:
Effect of Training Epoch Number on Patient Data Memorization in Unconditional Latent Diffusion Models. Bildverarbeitung für die Medizin 2024: 88-93 - [c37]Malte Tölle, Lukas Burger, Halvar Kelm, Sandy Engelhardt:
Towards Unified Multi-modal Dataset Creation for Deep Learning Utilizing Structured Reports. Bildverarbeitung für die Medizin 2024: 130-135 - [c36]Marvin Seyfarth, Salman Ul Hassan Dar, Sandy Engelhardt:
Latent Pollution Model: The Hidden Carbon Footprint in 3D Image Synthesis. SASHIMI@MICCAI 2024: 146-156 - [c35]Malte Tölle, Fernando Navarro, Sebastian Eble, Ivo Wolf, Bjoern H. Menze, Sandy Engelhardt:
FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels. MICCAI (10) 2024: 405-415 - [e3]Anirban Mukhopadhyay, Ilkay Öksüz, Sandy Engelhardt, Dajiang Zhu, Yixuan Yuan:
Deep Generative Models - Third MICCAI Workshop, DGM4MICCAI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14533, Springer 2024, ISBN 978-3-031-53766-0 [contents] - [i29]Salman Ul Hassan Dar, Marvin Seyfarth, Jannik Kahmann, Isabelle Ayx, Theano Papavassiliu, Stefan O. Schönberg, Sandy Engelhardt:
Unconditional Latent Diffusion Models Memorize Patient Imaging Data. CoRR abs/2402.01054 (2024) - [i28]Malte Tölle, Fernando Navarro, Sebastian Eble, Ivo Wolf, Bjoern H. Menze, Sandy Engelhardt:
FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels. CoRR abs/2407.07488 (2024) - [i27]Malte Tölle, Philipp Garthe, Clemens Scherer, Jan Moritz Seliger, Andreas Leha, Nina Krüger, Stefan Simm, Simon Martin, Sebastian Eble, Halvar Kelm, Moritz Bednorz, Florian André, Peter Bannas, Gerhard-Paul Diller, Norbert Frey, Stefan Groß, Anja Hennemuth, Lars Kaderali, Alexander Meyer, Eike Nagel, Stefan Orwat, Moritz Seiffert, Tim Friede, Tim Seidler, Sandy Engelhardt:
Federated Foundation Model for Cardiac CT Imaging. CoRR abs/2407.07557 (2024) - [i26]Malte Tölle, Lukas Burger, Halvar Kelm, Florian André, Peter Bannas, Gerhard-Paul Diller, Norbert Frey, Philipp Garthe, Stefan Groß, Anja Hennemuth, Lars Kaderali, Nina Krüger, Andreas Leha, Simon Martin, Alexander Meyer, Eike Nagel, Stefan Orwat, Clemens Scherer, Moritz Seiffert, Jan Moritz Seliger, Stefan Simm, Tim Friede, Tim Seidler, Sandy Engelhardt:
Multi-Modal Dataset Creation for Federated~Learning with DICOM Structured Reports. CoRR abs/2407.09064 (2024) - [i25]Marvin Seyfarth, Salman Ul Hassan Dar, Sandy Engelhardt:
Latent Pollution Model: The Hidden Carbon Footprint in 3D Image Synthesis. CoRR abs/2407.14892 (2024) - 2023
- [j15]Benedikt Mayer, Monique Meuschke, Jimmy Chen, Beat P. Müller-Stich, Martin Wagner, Bernhard Preim, Sandy Engelhardt:
Interactive visual exploration of surgical process data. Int. J. Comput. Assist. Radiol. Surg. 18(1): 127-137 (2023) - [j14]Lukas Burger, Lalith Sharan, Roger Karl, Christina Wang, Matthias Karck, Raffaele De Simone, Ivo Wolf, Gabriele Romano, Sandy Engelhardt:
Comparative evaluation of three commercially available markerless depth sensors for close-range use in surgical simulation. Int. J. Comput. Assist. Radiol. Surg. 18(6): 1109-1118 (2023) - [j13]Lalith Sharan, Halvar Kelm, Gabriele Romano, Matthias Karck, Raffaele De Simone, Sandy Engelhardt:
mvHOTA: A multi-view higher order tracking accuracy metric to measure temporal and spatial associations in multi-point tracking. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(4): 1281-1289 (2023) - [c34]Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, Martin Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brüngel, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, S. Pang, J. Park, S. Park, Szymon Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, Sen Yang, Y. Yang, Z. Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein:
Why is the Winner the Best? CVPR 2023: 19955-19966 - [c33]Salman Ul Hassan Dar, Arman Ghanaat, Jannik Kahmann, Isabelle Ayx, Theano Papavassiliu, Stefan O. Schönberg, Sandy Engelhardt:
Investigating Data Memorization in 3D Latent Diffusion Models for Medical Image Synthesis. DGM4MICCAI 2023: 56-65 - [i24]Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, Ali Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, et al.:
Why is the winner the best? CoRR abs/2303.17719 (2023) - [i23]Georgii Kostiuchik, Lalith Sharan, Benedikt Mayer, Ivo Wolf, Bernhard Preim, Sandy Engelhardt:
Surgical Phase and Instrument Recognition: How to identify appropriate Dataset Splits. CoRR abs/2306.16879 (2023) - [i22]Salman Ul Hassan Dar, Arman Ghanaat, Jannik Kahmann, Isabelle Ayx, Theano Papavassiliu, Stefan O. Schönberg, Sandy Engelhardt:
Investigating Data Memorization in 3D Latent Diffusion Models for Medical Image Synthesis. CoRR abs/2307.01148 (2023) - 2022
- [j12]Max-Heinrich Laves, Malte Tölle, Alexander Schlaefer, Sandy Engelhardt:
Posterior temperature optimized Bayesian models for inverse problems in medical imaging. Medical Image Anal. 78: 102382 (2022) - [j11]Lalith Sharan, Gabriele Romano, Sven Koehler, Halvar Kelm, Matthias Karck, Raffaele De Simone, Sandy Engelhardt:
Mutually Improved Endoscopic Image Synthesis and Landmark Detection in Unpaired Image-to-Image Translation. IEEE J. Biomed. Health Informatics 26(1): 127-138 (2022) - [c32]Lukas Burger, Lalith Sharan, Samantha Fischer, Julian Brand, Maximillian Hehl, Gabriele Romano, Matthias Karck, Raffaele De Simone, Ivo Wolf, Sandy Engelhardt:
Comparison of Depth Estimation Setups from Stereo Endoscopy and Optical Tracking for Point Measurements. Bildverarbeitung für die Medizin 2022: 160-165 - [c31]Jonas Cordes, Thomas Enzlein, Christian Marsching, Marven Hinze, Sandy Engelhardt, Carsten Hopf, Ivo Wolf:
Abstract: M2aia: Mass Spectrometry Imaging Applications for Interactive Analysis in MITK. Bildverarbeitung für die Medizin 2022: 166 - [c30]Sven Koehler, Lalith Sharan, Julian Kuhm, Arman Ghanaat, Jelizaveta Gordejeva, Nike K. Simon, Niko M. Grell, Florian André, Sandy Engelhardt:
Comparison of Evaluation Metrics for Landmark Detection in CMR Images. Bildverarbeitung für die Medizin 2022: 198-203 - [c29]Malte Tölle, Ullrich Köthe, Florian André, Benjamin Meder, Sandy Engelhardt:
Content-Aware Differential Privacy with Conditional Invertible Neural Networks. DeCaF/FAIR@MICCAI 2022: 89-99 - [c28]Sven Koehler, Tarique Hussain, Hamza Hussain, Daniel Young, Samir Sarikouch, Thomas Pickardt, Gerald Greil, Sandy Engelhardt:
Self-supervised Motion Descriptor for Cardiac Phase Detection in 4D CMR Based on Discrete Vector Field Estimations. STACOM@MICCAI 2022: 65-78 - [e2]Anirban Mukhopadhyay, Ilkay Öksüz, Sandy Engelhardt, Dajiang Zhu, Yixuan Yuan:
Deep Generative Models - Second MICCAI Workshop, DGM4MICCAI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13609, Springer 2022, ISBN 978-3-031-18575-5 [contents] - [i21]Sven Koehler, Lalith Sharan, Julian Kuhm, Arman Ghanaat, Jelizaveta Gordejeva, Nike K. Simon, Niko M. Grell, Florian André, Sandy Engelhardt:
Comparison of Evaluation Metrics for Landmark Detection in CMR Images. CoRR abs/2201.10410 (2022) - [i20]Lukas Burger, Lalith Sharan, Samantha Fischer, Julian Brand, Maximillian Hehl, Gabriele Romano, Matthias Karck, Raffaele De Simone, Ivo Wolf, Sandy Engelhardt:
Comparison of Depth Estimation Setups from Stereo Endoscopy and Optical Tracking for Point Measurements. CoRR abs/2201.10848 (2022) - [i19]Max-Heinrich Laves, Malte Tölle, Alexander Schlaefer, Sandy Engelhardt:
Posterior temperature optimized Bayesian models for inverse problems in medical imaging. CoRR abs/2202.00986 (2022) - [i18]Lalith Sharan, Halvar Kelm, Gabriele Romano, Matthias Karck, Raffaele De Simone, Sandy Engelhardt:
mvHOTA: A multi-view higher order tracking accuracy metric to measure spatial and temporal associations in multi-point detection. CoRR abs/2206.09372 (2022) - [i17]Malte Tölle, Ullrich Köthe, Florian André, Benjamin Meder, Sandy Engelhardt:
Content-Aware Differential Privacy with Conditional Invertible Neural Networks. CoRR abs/2207.14625 (2022) - [i16]Sven Koehler, Tarique Hussain, Hamza Hussain, Daniel Young, Samir Sarikouch, Thomas Pickardt, Gerald Greil, Sandy Engelhardt:
Self-supervised motion descriptor for cardiac phase detection in 4D CMR based on discrete vector field estimations. CoRR abs/2209.05778 (2022) - [i15]Firas Khader, Gustav Mueller-Franzes, Soroosh Tayebi Arasteh, Tianyu Han, Christoph Haarburger, Maximilian Schulze-Hagen, Philipp Schad, Sandy Engelhardt, Bettina Baeßler, Sebastian Foersch, Johannes Stegmaier, Christiane Kuhl, Sven Nebelung, Jakob Nikolas Kather, Daniel Truhn:
Medical Diffusion - Denoising Diffusion Probabilistic Models for 3D Medical Image Generation. CoRR abs/2211.03364 (2022) - [i14]Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Patrick Godau, Veronika Cheplygina, Michal Kozubek, Sharib Ali, Anubha Gupta, Jan Kybic, J. Alison Noble, Carlos Ortiz-de-Solórzano, Samiksha Pachade, Caroline Petitjean, Daniel Sage, Donglai Wei, Elizabeth Wilden, Deepak Alapatt, Vincent Andrearczyk, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Vivek Singh Bawa, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Jinwook Choi, Olivier Commowick, Marie Daum, Adrien Depeursinge, Reuben Dorent, Jan Egger, Hannah Eichhorn, Sandy Engelhardt, Melanie Ganz, Gabriel Girard, Lasse Hansen, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Hyunjeong Kim, Bennett A. Landman, Hongwei Bran Li, Jianning Li, Jun Ma, Anne L. Martel, et al.:
Biomedical image analysis competitions: The state of current participation practice. CoRR abs/2212.08568 (2022) - 2021
- [j10]Lalith Sharan, Gabriele Romano, Julian Brand, Halvar Kelm, Matthias Karck, Raffaele De Simone, Sandy Engelhardt:
Point detection through multi-instance deep heatmap regression for sutures in endoscopy. Int. J. Comput. Assist. Radiol. Surg. 16(12): 2107-2117 (2021) - [j9]Sven Koehler, Tarique Hussain, Zach Blair, Tyler Huffaker, Florian Ritzmann, Animesh Tandon, Thomas Pickardt, Samir Sarikouch, Heiner Latus, Gerald Greil, Ivo Wolf, Sandy Engelhardt:
Unsupervised Domain Adaptation From Axial to Short-Axis Multi-Slice Cardiac MR Images by Incorporating Pretrained Task Networks. IEEE Trans. Medical Imaging 40(10): 2939-2953 (2021) - [c27]Antonia Stern, Lalith Sharan, Gabriele Romano, Sven Koehler, Matthias Karck, Raffaele De Simone, Ivo Wolf, Sandy Engelhardt:
Heatmap-based 2D Landmark Detection with a Varying Number of Landmarks. Bildverarbeitung für die Medizin 2021: 22-27 - [e1]Sandy Engelhardt, Ilkay Öksüz, Dajiang Zhu, Yixuan Yuan, Anirban Mukhopadhyay, Nicholas Heller, Sharon Xiaolei Huang, Hien Van Nguyen, Raphael Sznitman, Yuan Xue:
Deep Generative Models, and Data Augmentation, Labelling, and Imperfections - First Workshop, DGM4MICCAI 2021, and First Workshop, DALI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings. Lecture Notes in Computer Science 13003, Springer 2021, ISBN 978-3-030-88209-9 [contents] - [i13]Antonia Stern, Lalith Sharan, Gabriele Romano, Sven Koehler, Matthias Karck, Raffaele De Simone, Ivo Wolf, Sandy Engelhardt:
Heatmap-based 2D Landmark Detection with a Varying Number of Landmarks. CoRR abs/2101.02737 (2021) - [i12]Sven Koehler, Tarique Hussain, Zach Blair, Tyler Huffaker, Florian Ritzmann, Animesh Tandon, Thomas Pickardt, Samir Sarikouch, Heiner Latus, Gerald Greil, Ivo Wolf, Sandy Engelhardt:
Unsupervised Domain Adaptation from Axial to Short-Axis Multi-Slice Cardiac MR Images by Incorporating Pretrained Task Networks. CoRR abs/2101.07653 (2021) - [i11]Lalith Sharan, Gabriele Romano, Sven Koehler, Halvar Kelm, Matthias Karck, Raffaele De Simone, Sandy Engelhardt:
Mutually improved endoscopic image synthesis and landmark detection in unpaired image-to-image translation. CoRR abs/2107.06941 (2021) - [i10]Lalith Sharan, Gabriele Romano, Julian Brand, Halvar Kelm, Matthias Karck, Raffaele De Simone, Sandy Engelhardt:
Point detection through multi-instance deep heatmap regression for sutures in endoscopy. CoRR abs/2111.08468 (2021) - 2020
- [j8]Nils Lichtenberg, Pepe Eulzer, Gabriele Romano, Andreas Brcic, Matthias Karck, Kai Lawonn, Raffaele De Simone, Sandy Engelhardt:
Mitral valve flattening and parameter mapping for patient-specific valve diagnosis. Int. J. Comput. Assist. Radiol. Surg. 15(4): 617-627 (2020) - [j7]Pepe Eulzer, Sandy Engelhardt, Nils Lichtenberg, Raffaele De Simone, Kai Lawonn:
Temporal Views of Flattened Mitral Valve Geometries. IEEE Trans. Vis. Comput. Graph. 26(1): 971-980 (2020) - [c26]Sandy Engelhardt, Lalith Sharan, Matthias Karck, Raffaele De Simone, Ivo Wolf:
Abstract: Generative Adversarial Networks for Stereoscopic Hyperrealism in Surgical Training. Bildverarbeitung für die Medizin 2020: 341 - [c25]Chandrakanth Jayachandran Preetha, Jonathan Kloss, Fabian Siegfried Wehrtmann, Lalith Sharan, Carolyn Fan, Beat Peter Müller-Stich, Felix Nickel, Sandy Engelhardt:
Towards augmented reality-based suturing in monocular laparoscopic training. Medical Imaging: Image-Guided Procedures 2020: 113150X - [c24]Sven Koehler, Animesh Tandon, Tarique Hussain, Heiner Latus, Thomas Pickardt, Samir Sarikouch, Philipp Beerbaum, Gerald Greil, Sandy Engelhardt, Ivo Wolf:
How well do U-Net-based segmentation trained on adult cardiac magnetic resonance imaging data generalize to rare congenital heart diseases for surgical planning? Medical Imaging: Image-Guided Procedures 2020: 113151K - [i9]Chandrakanth Jayachandran Preetha, Jonathan Kloss, Fabian Siegfried Wehrtmann, Lalith Sharan, Carolyn Fan, Beat Peter Müller-Stich, Felix Nickel, Sandy Engelhardt:
Towards Augmented Reality-based Suturing in Monocular Laparoscopic Training. CoRR abs/2001.06894 (2020) - [i8]Sven Koehler, Animesh Tandon, Tarique Hussain, Heiner Latus, Thomas Pickardt, Samir Sarikouch, Philipp Beerbaum, Gerald Greil, Sandy Engelhardt, Ivo Wolf:
How well do U-Net-based segmentation trained on adult cardiac magnetic resonance imaging data generalise to rare congenital heart diseases for surgical planning? CoRR abs/2002.04392 (2020) - [i7]Zhaohan Xiong, Qing Xia, Zhiqiang Hu, Ning Huang, Cheng Bian, Yefeng Zheng, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier, Xin Yang, Pheng-Ann Heng, Dong Ni, Caizi Li, Qianqian Tong, Weixin Si, Élodie Puybareau, Younes Khoudli, Thierry Géraud, Chen Chen, Wenjia Bai, Daniel Rueckert, Lingchao Xu, Xiahai Zhuang, Xinzhe Luo, Shuman Jia, Maxime Sermesant, Yashu Liu, Kuanquan Wang, Davide Borra, Alessandro Masci, Cristiana Corsi, Coen de Vente, Mitko Veta, Rashed Karim, Chandrakanth Jayachandran Preetha, Sandy Engelhardt, Mengyun Qiao, Yuanyuan Wang, Qian Tao, Marta Nuñez Garcia, Oscar Camara, Nicoló Savioli, Pablo Lamata, Jichao Zhao:
A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging. CoRR abs/2004.12314 (2020)
2010 – 2019
- 2019
- [j6]Sandy Engelhardt, Simon Sauerzapf, Bernhard Preim, Matthias Karck, Ivo Wolf, Raffaele De Simone:
Flexible and comprehensive patient-specific mitral valve silicone models with chordae tendineae made from 3D-printable molds. Int. J. Comput. Assist. Radiol. Surg. 14(7): 1177-1186 (2019) - [c23]Sandy Engelhardt, Raffaele De Simone, Peter M. Full, Matthias Karck, Ivo Wolf:
Improving Surgical Training Phantoms by Hyperrealism: Deep Unpaired Image-to-Image Translation from Real Surgeries. Bildverarbeitung für die Medizin 2019: 282 - [c22]Pepe Eulzer, Nils Lichtenberg, Rawa Arif, Andreas Brcic, Matthias Karck, Kai Lawonn, Raffaele De Simone, Sandy Engelhardt:
Mitral Valve Quantification at a Glance - Flattening Patient-Specific Valve Geometry. Bildverarbeitung für die Medizin 2019: 296-301 - [c21]Micha Pfeiffer, Isabel Funke, Maria R. Robu, Sebastian Bodenstedt, Leon Strenger, Sandy Engelhardt, Tobias Roß, Matthew J. Clarkson, Kurinchi Gurusamy, Brian R. Davidson, Lena Maier-Hein, Carina Riediger, Thilo Welsch, Jürgen Weitz, Stefanie Speidel:
Generating Large Labeled Data Sets for Laparoscopic Image Processing Tasks Using Unpaired Image-to-Image Translation. MICCAI (5) 2019: 119-127 - [c20]Sandy Engelhardt, Lalith Sharan, Matthias Karck, Raffaele De Simone, Ivo Wolf:
Cross-Domain Conditional Generative Adversarial Networks for Stereoscopic Hyperrealism in Surgical Training. MICCAI (5) 2019: 155-163 - [c19]Barbara Waldkirch, Sandy Engelhardt, Frank G. Zöllner, Lothar R. Schad, Ivo Wolf:
Multimodal image registration of pre- and intra-interventional data for surgical planning of transarterial chemoembolisation. Medical Imaging: Image-Guided Procedures 2019: 109512U - [i6]Sandy Engelhardt, Simon Sauerzapf, Bernhard Preim, Matthias Karck, Ivo Wolf, Raffaele De Simone:
Flexible and Comprehensive Patient-Specific Mitral Valve Silicone Models with Chordae Tendinae Made From 3D-Printable Molds. CoRR abs/1904.03704 (2019) - [i5]Sandy Engelhardt, Lalith Sharan, Matthias Karck, Raffaele De Simone, Ivo Wolf:
Cross-Domain Conditional Generative Adversarial Networks for Stereoscopic Hyperrealism in Surgical Training. CoRR abs/1906.10011 (2019) - [i4]Micha Pfeiffer, Isabel Funke, Maria R. Robu, Sebastian Bodenstedt, Leon Strenger, Sandy Engelhardt, Tobias Roß, Matthew J. Clarkson, Kurinchi Gurusamy, Brian R. Davidson, Lena Maier-Hein, Carina Riediger, Thilo Welsch, Jürgen Weitz, Stefanie Speidel:
Generating large labeled data sets for laparoscopic image processing tasks using unpaired image-to-image translation. CoRR abs/1907.02882 (2019) - 2018
- [j5]Julian Hettig, Sandy Engelhardt, Christian Hansen, Gabriel Mistelbauer:
AR in VR: assessing surgical augmented reality visualizations in a steerable virtual reality environment. Int. J. Comput. Assist. Radiol. Surg. 13(11): 1717-1725 (2018) - [j4]Olivier Bernard, Alain Lalande, Clément Zotti, Frederic Cervenansky, Xin Yang, Pheng-Ann Heng, Irem Cetin, Karim Lekadir, Oscar Camara, Miguel Ángel González Ballester, Gerard Sanroma, Sandy Napel, Steffen E. Petersen, Georgios Tziritas, Elias Grinias, Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi, Marc-Michel Rohé, Xavier Pennec, Maxime Sermesant, Fabian Isensee, Paul Jäger, Klaus H. Maier-Hein, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Christian F. Baumgartner, Lisa M. Koch, Jelmer M. Wolterink, Ivana Isgum, Yeonggul Jang, Yoonmi Hong, Jay Patravali, Shubham Jain, Olivier Humbert, Pierre-Marc Jodoin:
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? IEEE Trans. Medical Imaging 37(11): 2514-2525 (2018) - [c18]Sandy Engelhardt, Simon Sauerzapf, Sameer Al-Maisary, Matthias Karck, Bernhard Preim, Ivo Wolf, Raffaele De Simone:
Elastic Mitral Valve Silicone Replica Made from 3D-Printable Molds Offer Advanced Surgical Training. Bildverarbeitung für die Medizin 2018: 74-79 - [c17]Chandrakanth Jayachandran Preetha, Shyamalakshmi Haridasan, Vahid Abdi, Sandy Engelhardt:
Segmentation of the Left Atrium from 3D Gadolinium-Enhanced MR Images with Convolutional Neural Networks. STACOM@MICCAI 2018: 265-272 - [c16]Sandy Engelhardt, Raffaele De Simone, Peter M. Full, Matthias Karck, Ivo Wolf:
Improving Surgical Training Phantoms by Hyperrealism: Deep Unpaired Image-to-Image Translation from Real Surgeries. MICCAI (1) 2018: 747-755 - [i3]Sandy Engelhardt, Raffaele De Simone, Peter M. Full, Matthias Karck, Ivo Wolf:
Improving Surgical Training Phantoms by Hyperrealism: Deep Unpaired Image-to-Image Translation from Real Surgeries. CoRR abs/1806.03627 (2018) - 2017
- [c15]Fabian Isensee, Paul F. Jaeger, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Klaus H. Maier-Hein:
Automatic Cardiac Disease Assessment on cine-MRI via Time-Series Segmentation and Domain Specific Features. STACOM@MICCAI 2017: 120-129 - [i2]Darko Katic, Maria Maleshkova, Sandy Engelhardt, Ivo Wolf, Keno März, Lena Maier-Hein, Marco Nolden, Martin Wagner, Hannes Kenngott, Beat Peter Müller-Stich, Rüdiger Dillmann, Stefanie Speidel:
What does it all mean? Capturing Semantics of Surgical Data and Algorithms with Ontologies. CoRR abs/1705.07747 (2017) - [i1]Fabian Isensee, Paul F. Jaeger, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Klaus H. Maier-Hein:
Automatic Cardiac Disease Assessment on cine-MRI via Time-Series Segmentation and Domain Specific Features. CoRR abs/1707.00587 (2017) - 2016
- [j3]Nicolai Schoch, F. Kißler, Markus Stoll, Sandy Engelhardt, Raffaele De Simone, Ivo Wolf, Rolf Bendl, Vincent Heuveline:
Comprehensive patient-specific information preprocessing for cardiac surgery simulations. Int. J. Comput. Assist. Radiol. Surg. 11(6): 1051-1059 (2016) - [j2]Sandy Engelhardt, Raffaele De Simone, Sameer Al-Maisary, Silvio Kolb, Matthias Karck, Hans-Peter Meinzer, Ivo Wolf:
Accuracy evaluation of a mitral valve surgery assistance system based on optical tracking. Int. J. Comput. Assist. Radiol. Surg. 11(10): 1891-1904 (2016) - [c14]Tobias Norajitra, Sandy Engelhardt, Thomas Held, Sameer Al-Maisary, Raffaele De Simone, Hans-Peter Meinzer, Klaus H. Maier-Hein:
Statistische 3D-Formmodelle mit verteilter Erscheinungsmodellierung - Segmentierung per Abstimmung. Bildverarbeitung für die Medizin 2016: 56-61 - [c13]Sandy Engelhardt, Silvio Kolb, Raffaele De Simone, Matthias Karck, Hans-Peter Meinzer, Ivo Wolf:
Endoscopic feature tracking for augmented-reality assisted prosthesis selection in mitral valve repair. Medical Imaging: Image-Guided Procedures 2016: 97861A - [c12]Nicolai Schoch, Patrick Philipp, Tobias Weller, Sandy Engelhardt, Mykola Volovyk, Andreas Fetzer, Marco Nolden, Raffaele De Simone, Ivo Wolf, Maria Maleshkova, Achim Rettinger, Rudi Studer, Vincent Heuveline:
Cognitive tools pipeline for assistance of mitral valve surgery. Medical Imaging: Image-Guided Procedures 2016: 978603 - 2015
- [j1]Keno März, Mohammadreza Hafezi, Tobias Weller, Arash Saffari, Marco Nolden, Nassim Fard, A. Majlesara, Sascha Zelzer, Maria Maleshkova, Mykola Volovyk, N. Gharabaghi, Martin Wagner, G. Emami, Sandy Engelhardt, Andreas Fetzer, Hannes Kenngott, N. Rezai, Achim Rettinger, Rudi Studer, Arianeb Mehrabi, Lena Maier-Hein:
Toward knowledge-based liver surgery: holistic information processing for surgical decision support. Int. J. Comput. Assist. Radiol. Surg. 10(6): 749-759 (2015) - [c11]Sandy Engelhardt, Nils Lichtenberg, Sameer Al-Maisary, Raffaele De Simone, Helmut Rauch, Jens Roggenbach, Stefan Müller, Matthias Karck, Hans-Peter Meinzer, Ivo Wolf:
Towards Automatic Assessment of the Mitral Valve Coaptation Zone from 4D Ultrasound. FIMH 2015: 137-145 - [c10]Nicolai Schoch, Sandy Engelhardt, Norbert Zimmermann, Stefanie Speidel, Raffaele De Simone, Ivo Wolf, Vincent Heuveline:
Integration of a biomechanical simulation for mitral valve reconstruction into a knowledge-based surgery assistance system. Medical Imaging: Image-Guided Procedures 2015: 941502 - 2014
- [c9]Bastian Graser, Sameer Al-Maisary, Manuel Großgasteiger, Sandy Engelhardt, Raffaele De Simone, Norbert Zimmermann, Matthias Karck, Hans-Peter Meinzer, Diana Wald, Ivo Wolf:
Gestaltung patientenspezifischer Annuloplastieringe. Bildverarbeitung für die Medizin 2014: 19-23 - [c8]Sandy Engelhardt, Bastian Graser, Raffaele De Simone, Norbert Zimmermann, Matthias Karck, Hans-Peter Meinzer, Diana Nabers, Ivo Wolf:
Vermessung des Mitralapparats mit einem optisch getrackten Zeigeinstrument für die virtuelle Annuloplastie. Bildverarbeitung für die Medizin 2014: 252-257 - [c7]Sandy Engelhardt, Raffaele De Simone, Norbert Zimmermann, Matthias Karck, Hans-Peter Meinzer, Diana Nabers, Ivo Wolf:
A New Method for Intraoperative Quantification of Mitral Leaflet Segment Prolapse. CinC 2014: 961-964 - [c6]Nicolai Schoch, Sandy Engelhardt, Norbert Zimmermann, Stefanie Speidel, Raffaele De Simone, Ivo Wolf, Vincent Heuveline:
Integration einer Biomechanischen Simulation zur Unterstützung von Mitralklappen-Rekonstruktionen in ein Wissensbasiertes Assistenzsystem. CURAC 2014: 157-160 - [c5]Sandy Engelhardt, Raffaele De Simone, Norbert Zimmermann, Sameer Al-Maisary, Diana Nabers, Matthias Karck, Hans-Peter Meinzer, Ivo Wolf:
Augmented Reality-Enhanced Endoscopic Images for Annuloplasty Ring Sizing. AE-CAI 2014: 128-137 - [c4]Sandy Engelhardt, Raffaele De Simone, Diana Wald, Norbert Zimmermann, Sameer Al-Maisary, Carsten J. Beller, Matthias Karck, Hans-Peter Meinzer, Ivo Wolf:
Intraoperative measurements on the mitral apparatus using optical tracking: a feasibility study. Medical Imaging: Image-Guided Procedures 2014: 90361L - 2011
- [c3]Diana Röttger, Sandy Engelhardt, Stefan Müller:
Multimodal visualizations for pre-operative neurosurgical planning. GI-Jahrestagung 2011: 438 - 2010
- [c2]Sandy Engelhardt, Stefan Ameling, Stephan Wirth, Dietrich Paulus:
Features for Classification of Polyps in Colonoscopy. Bildverarbeitung für die Medizin 2010: 350-354
2000 – 2009
- 2009
- [c1]Sandy Engelhardt, Annabell Langs, Gerrit Lochmann, Irini Schmidt, Stefan Müller:
MoleARlert - an augmented reality game based on Lemmings. ISMAR 2009: 183-184
Coauthor Index
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