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Stefan Zachow
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2020 – today
- 2024
- [j21]Tamaz Amiranashvili
, David Lüdke, Hongwei Bran Li
Learning continuous shape priors from sparse data with neural implicit functions. Medical Image Anal. 94: 103099 (2024) - [j20]Lucas Siqueira Rodrigues, Timo Torsten Schmidt, John Nyakatura, Stefan Zachow, Johann Habakuk Israel, Thomas Kosch:
Assessing the Effects of Sensory Modality Conditions on Object Retention across Virtual Reality and Projected Surface Display Environments. Proc. ACM Hum. Comput. Interact. 8(ISS): 255-282 (2024) - [c47]Lucas Siqueira Rodrigues
Comparing the Effects of Visual, Haptic, and Visuohaptic Encoding on Memory Retention of Digital Objects in Virtual Reality. NordiCHI 2024: 16:1-16:13 - [i9]Lucas Siqueira Rodrigues, Timo Torsten Schmidt, John Nyakatura, Stefan Zachow, Johann Habakuk Israel, Thomas Kosch:
Comparing the Effects of Visual, Haptic, and Visuohaptic Encoding on Memory Retention of Digital Objects in Virtual Reality. CoRR abs/2406.14139 (2024) - 2023
- [c46]Lucas Siqueira Rodrigues
Design Challenges and Opportunities of Fossil Preparation Tools and Methods. KUI 2023: 7:1-7:10 - 2022
- [c45]David Lüdke, Tamaz Amiranashvili, Felix Ambellan, Ivan Ezhov, Bjoern H. Menze
Landmark-Free Statistical Shape Modeling Via Neural Flow Deformations. MICCAI (2) 2022: 453-463 - [c44]Tamaz Amiranashvili, David Lüdke, Hongwei Bran Li, Bjoern H. Menze, Stefan Zachow:
Learning Shape Reconstruction from Sparse Measurements with Neural Implicit Functions. MIDL 2022: 22-34 - [i8]David Lüdke, Tamaz Amiranashvili, Felix Ambellan, Ivan Ezhov, Bjoern H. Menze, Stefan Zachow:
Landmark-free Statistical Shape Modeling via Neural Flow Deformations. CoRR abs/2209.06861 (2022) - 2021
- [j19]Manish Sahu
Simulation-to-real domain adaptation with teacher-student learning for endoscopic instrument segmentation. Int. J. Comput. Assist. Radiol. Surg. 16(5): 849-859 (2021) - [j18]Alexander Tack
Fully automated Assessment of Knee Alignment from Full-Leg X-Rays employing a "YOLOv4 And Resnet Landmark regression Algorithm" (YARLA): Data from the Osteoarthritis Initiative. Comput. Methods Programs Biomed. 205: 106080 (2021) - [j17]Carl Martin Grewe
Statistical Learning of Facial Expressions Improves Realism of Animated Avatar Faces. Frontiers Virtual Real. 2: 619811 (2021) - [j16]Anjany Sekuboyina, Malek El Husseini, Amirhossein Bayat, Maximilian Löffler, Hans Liebl, Hongwei Li
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images. Medical Image Anal. 73: 102166 (2021) - [j15]Felix Ambellan, Stefan Zachow, Christoph von Tycowicz:
Rigid motion invariant statistical shape modeling based on discrete fundamental forms: Data from the osteoarthritis initiative and the Alzheimer's disease neuroimaging initiative. Medical Image Anal. 73: 102178 (2021) - [j14]Jianning Li
AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design. IEEE Trans. Medical Imaging 40(9): 2329-2342 (2021) - [c43]Felix Ambellan
Geodesic B-score for Improved Assessment of Knee Osteoarthritis. IPMI 2021: 177-188 - [c42]Laura Estacio, Moritz Ehlke, Alexander Tack, Eveling Castro Gutierrez
Unsupervised Detection Of Disturbances In 2d Radiographs. ISBI 2021: 367-370 - [i7]Manish Sahu, Anirban Mukhopadhyay, Stefan Zachow:
Simulation-to-Real domain adaptation with teacher-student learning for endoscopic instrument segmentation. CoRR abs/2103.01593 (2021) - [i6]Felix Ambellan, Stefan Zachow, Christoph von Tycowicz:
Geodesic B-Score for Improved Assessment of Knee Osteoarthritis. CoRR abs/2104.01107 (2021) - [i5]Felix Ambellan, Stefan Zachow, Christoph von Tycowicz:
Rigid Motion Invariant Statistical Shape Modeling based on Discrete Fundamental Forms. CoRR abs/2111.06850 (2021) - 2020
- [c41]Pedro Pimentel, Angelika Szengel, Moritz Ehlke, Hans Lamecker, Stefan Zachow, Laura Estacio, Christian Doenitz, Heiko Ramm:
Automated Virtual Reconstruction of Large Skull Defects using Statistical Shape Models and Generative Adversarial Networks. AutoImplant@MICCAI 2020: 16-27 - [c40]Manish Sahu
Endo-Sim2Real: Consistency Learning-Based Domain Adaptation for Instrument Segmentation. MICCAI (3) 2020: 784-794 - [i4]Anjany Sekuboyina, Malek El Husseini, Amirhossein Bayat, Maximilian Löffler, Hans Liebl, Hongwei Li, Giles Tetteh, Jan Kukacka, Christian Payer, Darko Stern, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Tamaz Amiranashvili, Moritz Ehlke, Hans Lamecker, Sebastian Lehnert, Marilia Lirio, Nicolás Pérez de Olaguer, Heiko Ramm, Manish Sahu, Alexander Tack, Stefan Zachow, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Kevin Brown, Alexandre Kirszenberg, Élodie Puybareau, Di Chen, Yiwei Bai, Brandon H. Rapazzo, Timyoas Yeah, Amber Zhang, Shangliang Xu, Feng Hou, Zhiqiang He, Chan Zeng, Xiangshang Zheng, Liming Xu, Tucker J. Netherton, Raymond P. Mumme, Laurence E. Court, Zixun Huang, Chenhang He, Li-Wen Wang, Sai Ho Ling, Lê Duy Huynh, Nicolas Boutry, Roman Jakubícek, Jirí Chmelík, Supriti Mulay, Mohanasankar Sivaprakasam, Johannes C. Paetzold, Suprosanna Shit, Ivan Ezhov, Benedikt Wiestler, Ben Glocker, Alexander Valentinitsch, Markus Rempfler, Björn H. Menze, Jan S. Kirschke:
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images. CoRR abs/2001.09193 (2020) - [i3]Manish Sahu, Ronja Strömsdörfer, Anirban Mukhopadhyay, Stefan Zachow:
Endo-Sim2Real: Consistency learning-based domain adaptation for instrument segmentation. CoRR abs/2007.11514 (2020)
2010 – 2019
- 2019
- [j13]Steffen Oeltze-Jafra, Monique Meuschke, Mathias Neugebauer, Sylvia Saalfeld, Kai Lawonn, Gábor Janiga, Hans-Christian Hege
Generation and Visual Exploration of Medical Flow Data: Survey, Research Trends and Future Challenges. Comput. Graph. Forum 38(1): 87-125 (2019) - [j12]Felix Ambellan
Automated segmentation of knee bone and cartilage combining statistical shape knowledge and convolutional neural networks: Data from the Osteoarthritis Initiative. Medical Image Anal. 52: 109-118 (2019) - [c39]Alexander Tack, Stefan Zachow:
Accurate Automated Volumetry of Cartilage of the Knee Using Convolutional Neural Networks: Data From the Osteoarthritis Initiative. ISBI 2019: 40-43 - [c38]Felix Ambellan
A Surface-Theoretic Approach for Statistical Shape Modeling. MICCAI (4) 2019: 21-29 - [c37]Felix Ambellan
An As-Invariant-As-Possible GL+(3) -Based Statistical Shape Model. MBIA/MFCA@MICCAI 2019: 219-228 - 2018
- [j11]Christoph von Tycowicz, Felix Ambellan
An efficient Riemannian statistical shape model using differential coordinates: With application to the classification of data from the Osteoarthritis Initiative. Medical Image Anal. 43: 1-9 (2018) - [c36]Carl Martin Grewe
Spotting the Details: The Various Facets of Facial Expressions. FG 2018: 286-293 - 2017
- [j10]Manish Sahu
Addressing multi-label imbalance problem of surgical tool detection using CNN. Int. J. Comput. Assist. Radiol. Surg. 12(6): 1013-1020 (2017) - [j9]David A. J. Wilson
Validation of three-dimensional models of the distal femur created from surgical navigation point cloud data for intraoperative and postoperative analysis of total knee arthroplasty. Int. J. Comput. Assist. Radiol. Surg. 12(12): 2097-2105 (2017) - [j8]Florian Bernard, Luis Salamanca
Shape-aware surface reconstruction from sparse 3D point-clouds. Medical Image Anal. 38: 77-89 (2017) - 2016
- [j7]Julián Lamas-Rodríguez, Dora Blanco Heras
GPU-accelerated level-set segmentation. J. Real Time Image Process. 12(1): 15-29 (2016) - [c35]Carl Martin Grewe, Stefan Zachow:
Fully Automated and Highly Accurate Dense Correspondence for Facial Surfaces. ECCV Workshops (2) 2016: 552-568 - [c34]Anirban Mukhopadhyay, Oscar Salvador Morillo Victoria, Stefan Zachow, Hans Lamecker:
Robust and Accurate Appearance Models Based on Joint Dictionary Learning Data from the Osteoarthritis Initiative - Data from the Osteoarthritis Initiative. Patch-MI@MICCAI 2016: 25-33 - [i2]Florian Bernard, Luis Salamanca, Johan Thunberg, Alexander Tack, Dennis Jentsch, Hans Lamecker, Stefan Zachow, Frank Hertel, Jorge M. Gonçalves, Peter Gemmar:
Shape-aware Surface Reconstruction from Sparse Data. CoRR abs/1602.08425 (2016) - [i1]Manish Sahu
Tool and Phase recognition using contextual CNN features. CoRR abs/1610.08854 (2016) - 2015
- [c33]Moritz Ehlke, Mark Heyland, Sven Märdian, Georg N. Duda, Stefan Zachow:
3D Assessment of Osteosynthesis based on 2D Radiographs. CURAC 2015: 317-322 - [e1]Oliver Burgert, Jörg Schipper, Stefan Zachow:
10. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, September 15-16, 2011, Magdeburg, Germany. CEUR Workshop Proceedings 1476, Verlag Univ Magdeburg 2015, ISBN 978-3-940961-59-4 [contents] - 2013
- [j6]Dagmar Kainmueller
Omnidirectional displacements for deformable surfaces. Medical Image Anal. 17(4): 429-441 (2013) - [j5]Moritz Ehlke, Heiko Ramm
Fast Generation of Virtual X-ray Images for Reconstruction of 3D Anatomy. IEEE Trans. Vis. Comput. Graph. 19(12): 2673-2682 (2013) - [c32]Heiko Ramm, O. S. Morillo Victorai, Ingo Todt, Hartmut Schirmacher, Arneborg Ernst, Stefan Zachow, Hans Lamecker:
Visual support for positioning hearing implants. CURAC 2013: 116-120 - [c31]Julián Lamas-Rodríguez, Dora Blanco Heras
Partitioning and mapping a fast level-set algorithm on the GPU. IDAACS 2013: 681-686 - 2012
- [c30]Max Kahnt, Heiko Ramm
Feature-Preserving, Multi-material Mesh Generation Using Hierarchical Oracles. MeshMed 2012: 101-111 - [c29]Nguyen The Duy, Hans Lamecker, Dagmar Kainmueller
Automatic Detection and Classification of Teeth in CT Data. MICCAI (1) 2012: 609-616 - 2011
- [c28]Matthias Bindernagel, Dagmar Kainmueller
An Articulated Statistical Shape Model of the Human Knee. Bildverarbeitung für die Medizin 2011: 59-63 - [c27]Max Kahnt, Francis Galloway, Heiko Seim, Hans Lamecker, Mark Taylor, Stefan Zachow:
Robust and Intuitive Meshing of Bone-Implant Compounds. CURAC 2011: 71-74 - [c26]Jens von Berg, Jalda Dworzak, Tobias Klinder, Dirk Manke, Adrian Kreth, Hans Lamecker, Stefan Zachow, Cristian Lorenz:
Temporal subtraction of chest radiographs compensating pose differences. Medical Imaging: Image Processing 2011: 79620U - 2010
- [j4]Jalda Dworzak, Hans Lamecker, Jens von Berg, Tobias Klinder, Cristian Lorenz, Dagmar Kainmüller
3D reconstruction of the human rib cage from 2D projection images using a statistical shape model. Int. J. Comput. Assist. Radiol. Surg. 5(2): 111-124 (2010) - [j3]Martin Weiser, Stefan Zachow, Peter Deuflhard:
Craniofacial Surgery Planning Based on Virtual Patient Models (Modellgestützte Planung von Gesichtsoperationen am virtuellen Patienten). it Inf. Technol. 52(5): 258-264 (2010) - [c25]Dagmar Kainmueller
Improving Deformable Surface Meshes through Omni-Directional Displacements and MRFs. MICCAI (1) 2010: 227-234
2000 – 2009
- 2009
- [j2]Stefan Zachow, Philipp Muigg, Thomas Hildebrandt
Visual Exploration of Nasal Airflow. IEEE Trans. Vis. Comput. Graph. 15(6): 1407-1414 (2009) - [c24]Heiko Seim, Dagmar Kainmüller, Hans Lamecker, Stefan Zachow:
A System for Unsupervised Extraction of Orthopaedic Parameters from CT Data. GI Jahrestagung 2009: 1328-1337 - [c23]Heiko Seim, Dagmar Kainmueller
Automatic Extraction of Anatomical Landmarks from Medical Image Data: An Evaluation of Different Methods. ISBI 2009: 538-541 - [c22]Dagmar Kainmueller
Automatic Extraction of Mandibular Nerve and Bone from Cone-Beam CT Data. MICCAI (1) 2009: 76-83 - 2008
- [c21]Heiko Seim, Hans Lamecker, Markus Heller
Segmentation of Bony Structures with Ligament Attachment Sites. Bildverarbeitung für die Medizin 2008: 207-211 - [c20]Michael Zilske, Hans Lamecker, Stefan Zachow:
Adaptive Remeshing of Non-Manifold Surfaces. Eurographics (Short Papers) 2008: 25-28 - [c19]Dagmar Kainmueller
Coupling Deformable Models for Multi-object Segmentation. ISBMS 2008: 69-78 - [c18]Jana Dornheim, Silvia Born, Stefan Zachow, Michael Gessat, Daniela I. Wellein, Gero Strauß, Bernhard Preim, Dirk Bartz:
Bildanalyse, Visualisierung und Modellerstellung für die Implantatplanung im Mittelohr. SimVis 2008: 139-154 - [c17]Mathias Neugebauer, Gábor Janiga, Stefan Zachow, Martin Skalej, Bernhard Preim:
Generierung qualitativ hochwertiger Modelle für die Simulation von Bluttfluss in zerebralen Aneurysmen. SimVis 2008: 221-236 - [c16]Heiko Seim, Dagmar Kainmueller, Markus Heller, Hans Lamecker, Stefan Zachow, Hans-Christian Hege
Automatic Segmentation of the Pelvic Bones from CT Data Based on a Statistical Shape Model. VCBM 2008: 93-100 - 2006
- [j1]Stefan Zachow, Hans-Christian Hege, Peter Deuflhard:
Computer Assisted Planning in Cranio-Maxillofacial Surgery. J. Comput. Inf. Technol. 14(1): 53-64 (2006) - 2004
- [c15]Stefan Zachow, Thomas Hierl, Bodo Erdmann:
Über die Qualität einer 3D Weichgewebeprädiktion in der Gesichtschirurgie. Bildverarbeitung für die Medizin 2004: 75-79 - [c14]Stefan Zachow, Thomas Hierl, Bodo Erdmann:
On the predictability of tissue changes for osteotomy planning in maxillofacial surgery: a comparison with postoperative results. CARS 2004: 648-653 - 2003
- [c13]Evgeny Gladilin, Stefan Zachow, Peter Deuflhard, Hans-Christian Hege:
On constitutive modeling of soft tissue for the long-term prediction of cranio-maxillofacial surgery outcome. CARS 2003: 343-349 - [c12]Stefan Zachow, Evgeny Gladilin, Robert Sader, Hans-Florian Zeilhofer:
Draw and cut: intuitive 3D osteotomy planning on polygonal bone models. CARS 2003: 362-369 - [c11]Evgeny Gladilin, Stefan Zachow, Peter Deuflhard, Hans-Christian Hege:
Realistic prediction of individual facial emotion expressions for craniofacial surgery simulations. Medical Imaging: Image-Guided Procedures 2003 - 2002
- [c10]Evgeny Gladilin, Stefan Zachow, Peter Deuflhard, Hans-Christian Hege:
Biomechanisches Modell zur Abschätzung der individuellen Gesichtsmimik. Bildverarbeitung für die Medizin 2002: 25-28 - [c9]Evgeny Gladilin, Stefan Zachow, Peter Deuflhard, Hans-Christian Hege:
Adaptive nonlinear elastic FEM for realistic prediction of soft tissue in craniofacial surgery simulations. Medical Imaging: Image-Guided Procedures 2002 - [c8]Evgeny Gladilin, Stefan Zachow, Peter Deuflhard, Hans-Christian Hege:
Shape-based approach for the estimation of individual facial mimics in craniofacial surgery planning. Medical Imaging: Image-Guided Procedures 2002 - 2001
- [c7]Evgeny Gladilin, Stefan Zachow, Peter Deuflhard, Hans-Christian Hege:
Validierung eines linear-elastischen Modells für die Weichgewebesimulation in der Mund-Kiefer-Gesichtschirurgie. Bildverarbeitung für die Medizin 2001: 57-61 - [c6]Stefan Zachow, Evgeny Gladilin, Hans-Florian Zeilhofer, Robert Sader:
3D Osteotomieplanung in der MKG-Chirurgie unter Berücksichtigung der räumlichen Weichgewebeanordnung. Rechner- und sensorgestützte Chirurgie 2001: 217-226 - [c5]Evgeny Gladilin, Stefan Zachow, Peter Deuflhard, Hans-Christian Hege:
A Biomechanical Model for Soft Tissue Simulation in Craniofacial Surgery. MIAR 2001: 137-144 - [c4]Stefan Zachow, Evgeny Gladilin, Hans-Florian Zeilhofer, Robert Sader:
Improved 3D Osteotomy Planning in Cranio-maxillofacial Surgery. MICCAI 2001: 473-481 - [c3]Evgeny Gladilin, Stefan Zachow, Peter Deuflhard, Hans-Christian Hege:
Validation of linear elastic model for soft tissue simulation in craniofacial surgery. Medical Imaging: Image-Guided Procedures 2001 - [c2]Evgeny Gladilin, Stefan Zachow, Peter Deuflhard, Hans-Christian Hege:
Towards a Realistic Simulation of Individual Facial Mimics. VMV 2001: 129-134
1990 – 1999
- 1999
- [c1]Detlev Stalling, Martin Seebass, Stefan Zachow:
Mehrschichtige Oberflächenmodelle zur computergestützten Planung in der Chirurgie. Bildverarbeitung für die Medizin 1999: 203-207
Coauthor Index
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last updated on 2024-11-22 20:38 CET by the dblp team
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