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2020 – today
- 2022
[j10]Junchao Chen
, Thomas Lange, Marko S. Andjelkovic, Aleksandar Simevski, Lu Li, Milos Krstic:
Solar Particle Event and Single Event Upset Prediction from SRAM-Based Monitor and Supervised Machine Learning. IEEE Trans. Emerg. Top. Comput. 10(2): 564-580 (2022)- 2021
- [j9]Thomas Lange:
Representing non-crossing cuts by phylogenetic trees. Electron. J. Graph Theory Appl. 9(2): 499-506 (2021) - [j8]Steve C. N. Hui, Mark Mikkelsen, Helge J. Zöllner, Vishwadeep Ahluwalia, Sarael Alcauter, Laima Baltusis, Deborah A. Barany, Laura R. Barlow, Robert Becker, Jeffrey I. Berman, Adam Berrington, Pallab K. Bhattacharyya, Jakob Udby Blicher, Wolfgang Bogner, Mark S. Brown, Vince D. Calhoun, Ryan Castillo, Kim M. Cecil, Richard A. E. Edden, Yeo Bi Choi, Winnie C. W. Chu, William T. Clarke, Alexander R. Craven, Koen Cuypers, Michael Dacko, Camilo de la Fuente-Sandoval, Patricia Desmond, Aleksandra Domagalik, Julien Dumont, Niall W. Duncan, Ulrike Dydak, Katherine Dyke, David A. Edmondson, Gabriele Ende, Lars Ersland, C. John Evans, Alan S. R. Fermin, Antonio Ferretti, Ariane Fillmer, Tao Gong, Ian Greenhouse, James T. Grist, Meng Gu, Ashley D. Harris, Katarzyna Hat, Stefanie Heba, Eva Heckova, John P. Hegarty, Kirstin-Friederike Heise, Shiori Honda, Aaron Jacobson, Jacobus F. A. Jansen, Christopher W. Jenkins, Stephen J. Johnston, Christoph Juchem, Alayar Kangarlu, Adam B. Kerr, Karl Landheer, Thomas Lange, Phil Lee, Swati Rane Levendovszky, Catherine Limperopoulos, Feng Liu, William Lloyd, David J. Lythgoe, Maro G. Machizawa, Erin L. MacMillan, Richard J. Maddock, Andrei V. Manzhurtsev, María L. Martinez-Gudino, Jack J. Miller, Heline Mirzakhanian, Marta Moreno-Ortega, Paul G. Mullins, Shinichiro Nakajima, Jamie Near, Ralph Noeske, Wibeke Nordhøy, Georg Oeltzschner, Raul Osorio-Duran, María Concepción García Otaduy, Erick H. Pasaye, Ronald Peeters, Scott J. Peltier, Ulrich Pilatus, Nenad Polomac, Eric C. Porges, Subechhya Pradhan, James Joseph Prisciandaro, Nicolaas A. Puts, Caroline D. Rae, Francisco Reyes-Madrigal, Timothy P. L. Roberts, Caroline E. Robertson, Jens T. Rosenberg, Diana-Georgiana Rotaru, Ruth L. O'Gorman Tuura, Muhammad G. Saleh, Kristian Sandberg, Ryan Sangill, Keith Schembri, Anouk Schrantee, Natalia A. Semenova, Debra Singel, Rouslan Sitnikov, Jolinda Smith, Yulu Song, Craig E. L. Stark, Diederick Stoffers, Stephan P. Swinnen, Rongwen Tain, Costin Tanase, Sofie Tapper, Martin Tegenthoff, Thomas Thiel, Marc Thioux, Peter Truong, Pim van Dijk, Nolan Vella, Rishma Vidyasagar, Andrej Vovk, Guangbin Wang, Lars T. Westlye, Timothy K. Wilbur, William R. Willoughby, Martin Wilson, Hans-Jörg Wittsack, Adam J. Woods, Yen-Chien Wu, Junqian Xu, Maria Yanez Lopez, David Ka Wai Yeung, Qun Zhao, Xiaopeng Zhou, Gasper Zupan:
Frequency drift in MR spectroscopy at 3T. NeuroImage 241: 118430 (2021) - [c32]Aneesh Balakrishnan, Dan Alexandrescu, Maksim Jenihhin, Thomas Lange, Maximilien Glorieux:
Gate-Level Graph Representation Learning: A Step Towards the Improved Stuck-at Faults Analysis. ISQED 2021: 24-30 - [c31]Xinhui Lai, Thomas Lange, Aneesh Balakrishnan, Dan Alexandrescu, Maksim Jenihhin:
On Antagonism Between Side-Channel Security and Soft-Error Reliability in BNN Inference Engines. VLSI-SoC 2021: 1-6 - [i8]Aneesh Balakrishnan, Thomas Lange, Maximilien Glorieux, Dan Alexandrescu, Maksim Jenihhin:
Modeling Gate-Level Abstraction Hierarchy Using Graph Convolutional Neural Networks to Predict Functional De-Rating Factors. CoRR abs/2104.01812 (2021) - [i7]Aneesh Balakrishnan, Thomas Lange, Maximilien Glorieux, Dan Alexandrescu, Maksim Jenihhin:
The Validation of Graph Model-Based, Gate Level Low-Dimensional Feature Data for Machine Learning Applications. CoRR abs/2104.01900 (2021) - [i6]Aneesh Balakrishnan, Thomas Lange, Maximilien Glorieux, Dan Alexandrescu, Maksim Jenihhin:
Composing Graph Theory and Deep Neural Networks to Evaluate SEU Type Soft Error Effects. CoRR abs/2104.01908 (2021) - [i5]Dan Alexandrescu, Aneesh Balakrishnan, Thomas Lange, Maximilien Glorieux:
Enabling Cross-Layer Reliability and Functional Safety Assessment Through ML-Based Compact Models. CoRR abs/2104.10941 (2021) - 2020
- [c30]Junchao Chen, Thomas Lange, Marko S. Andjelkovic, Aleksandar Simevski, Milos Krstic:
Hardware Accelerator Design with Supervised Machine Learning for Solar Particle Event Prediction. DFT 2020: 1-6 - [c29]Dan Alexandrescu, Aneesh Balakrishnan, Thomas Lange, Maximilien Glorieux:
Enabling Cross-Layer Reliability and Functional Safety Assessment Through ML-Based Compact Models. IOLTS 2020: 1-6 - [c28]Thomas Lange, Aneesh Balakrishnan, Maximilien Glorieux, Dan Alexandrescu, Luca Sterpone:
Machine Learning Clustering Techniques for Selective Mitigation of Critical Design Features. IOLTS 2020: 1-7 - [c27]Aneesh Balakrishnan, Thomas Lange, Maximilien Glorieux, Dan Alexandrescu, Maksim Jenihhin:
Composing Graph Theory and Deep Neural Networks to Evaluate SEU Type Soft Error Effects. MECO 2020: 1-5 - [i4]Thomas Lange, Maximilien Glorieux, Dan Alexandrescu, Luca Sterpone:
Functional Failure Rate Due to Single-Event Transients in Clock Distribution Networks. CoRR abs/2002.05455 (2020) - [i3]Thomas Lange, Aneesh Balakrishnan, Maximilien Glorieux, Dan Alexandrescu, Luca Sterpone:
Machine Learning to Tackle the Challenges of Transient and Soft Errors in Complex Circuits. CoRR abs/2002.08882 (2020) - [i2]Thomas Lange, Aneesh Balakrishnan, Maximilien Glorieux, Dan Alexandrescu, Luca Sterpone:
On the Estimation of Complex Circuits Functional Failure Rate by Machine Learning Techniques. CoRR abs/2002.09945 (2020) - [i1]Thomas Lange, Aneesh Balakrishnan, Maximilien Glorieux, Dan Alexandrescu, Luca Sterpone:
Machine Learning Clustering Techniques for Selective Mitigation of Critical Design Features. CoRR abs/2008.13664 (2020)
2010 – 2019
- 2019
- [j7]Thomas Lange, Houssain Kettani:
On Security Challenges of Future Technologies. J. Commun. 14(11): 1002-1008 (2019) - [j6]Xinhui Lai, Aneesh Balakrishnan, Thomas Lange, Maksim Jenihhin, Tara Ghasempouri, Jaan Raik, Dan Alexandrescu:
Understanding multidimensional verification: Where functional meets non-functional. Microprocess. Microsystems 71 (2019) - [c26]Aneesh Balakrishnan, Thomas Lange, Maximilien Glorieux, Dan Alexandrescu, Maksim Jenihhin:
Modeling Gate-Level Abstraction Hierarchy Using Graph Convolutional Neural Networks to Predict Functional De-Rating Factors. AHS 2019: 72-78 - [c25]Thomas Lange, Aneesh Balakrishnan, Maximilien Glorieux, Dan Alexandrescu, Luca Sterpone:
On the Estimation of Complex Circuits Functional Failure Rate by Machine Learning Techniques. DSN (Supplements) 2019: 35-41 - [c24]Thomas Lange, Maximilien Glorieux, Dan Alexandrescu, Luca Sterpone:
Functional Failure Rate Due to Single-Event Transients in Clock Distribution Networks. DTIS 2019: 1-6 - [c23]Thomas Lange, Aneesh Balakrishnan, Maximilien Glorieux, Dan Alexandrescu, Luca Sterpone:
Machine Learning to Tackle the Challenges of Transient and Soft Errors in Complex Circuits. IOLTS 2019: 7-14 - [c22]Aneesh Balakrishnan, Thomas Lange, Maximilien Glorieux, Dan Alexandrescu, Maksim Jenihhin:
The Validation of Graph Model-Based, Gate Level Low-Dimensional Feature Data for Machine Learning Applications. NORCAS 2019: 1-7 - 2018
- [c21]Luca Sterpone, Sarah Azimi, Ludovica Bozzoli, Boyang Du, Thomas Lange, Maximilien Glorieux, Dan Alexandrescu, Cesar Boatella Polo, David Merodio Codinachs:
A Novel Error Rate Estimation Approach forUltraScale+ SRAM-based FPGAs. AHS 2018: 120-126 - 2017
- [j5]Thomas Lange, Manja Reinwardt, Peter Tittmann:
A recursive formula for the two-edge connected and biconnected reliability of a complete graph. Networks 69(4): 408-414 (2017) - [j4]Mark Mikkelsen, Peter B. Barker, Pallab K. Bhattacharyya, Maiken K. Brix, Pieter F. Buur, Kim M. Cecil, Kimberly L. Chan, David Y.-T. Chen, Alexander R. Craven, Koen Cuypers, Michael Dacko, Niall W. Duncan, Ulrike Dydak, David A. Edmondson, Gabriele Ende, Lars Ersland, Fei Gao, Ian Greenhouse, Ashley D. Harris, Naying He, Stefanie Heba, Nigel Hoggard, Tun-Wei Hsu, Jacobus F. A. Jansen, Alayar Kangarlu, Thomas Lange, R. Marc Lebel, Yan Li, Chien-Yuan Lin, Jy-Kang Liou, Jiing-Feng Lirng, Feng Liu, Ruoyun Ma, Celine Maes, Marta Moreno-Ortega, Scott O. Murray, Sean Noah, Ralph Noeske, Michael D. Noseworthy, Georg Oeltzschner, James J. Prisciandaro, Nicolaas A. J. Puts, Timothy P. L. Roberts, Markus Sack, Napapon Sailasuta, Muhammad G. Saleh, Michael-Paul Schallmo, Nicholas Simard, Stephan P. Swinnen, Martin Tegenthoff, Peter Truong, Guangbin Wang, Iain D. Wilkinson, Hans-Jörg Wittsack, Hongmin Xu, Fuhua Yan, Chencheng Zhang, Vadim Zipunnikov, Helge J. Zöllner, Richard A. E. Edden:
Big GABA: Edited MR spectroscopy at 24 research sites. NeuroImage 159: 32-45 (2017) - 2011
- [c20]Thomas Lange, Silvan Kraft, Sebastian Eulenstein, Hans Lamecker, Peter-Michael Schlag:
Automatic Calibration of 3D Ultrasound Probes. Bildverarbeitung für die Medizin 2011: 169-173 - [c19]Thomas Lange, Peter M. Schlag:
Joint CTAC/CURAC Workshop - Genauigkeit in der computerassistierten Chirurgie. CURAC 2011: 201-203 - 2010
- [c18]Thomas Lange, Sebastian Eulenstein, Silvan Kraft, Peter M. Schlag:
Electromagnetic Anchor Tracking for Soft Tissue Navigation. CURAC 2010: 211-214
2000 – 2009
- 2009
- [j3]Thomas Lange, Nils Papenberg, Stefan Heldmann, Jan Modersitzki, Bernd Fischer, Hans Lamecker, Peter-Michael Schlag:
3D ultrasound-CT registration of the liver using combined landmark-intensity information. Int. J. Comput. Assist. Radiol. Surg. 4(1): 79-88 (2009) - [j2]Tobias Heimann, Bram van Ginneken, Martin Styner, Yulia Arzhaeva, Volker Aurich, Christian Bauer, Andreas Beck, Christoph Becker, Reinhard Beichel, György Bekes, Fernando Bello, Gerd Karl Binnig, Horst Bischof, Alexander Bornik, Peter Cashman, Ying Chi, Andrés Cordova, Benoit M. Dawant, Márta Fidrich, Jacob D. Furst, Daisuke Furukawa, Lars Grenacher, Joachim Hornegger, Dagmar Kainmüller, Richard Kitney, Hidefumi Kobatake, Hans Lamecker, Thomas Lange, Jeongjin Lee, Brian Lennon, Rui Li, Senhu Li, Hans-Peter Meinzer, Gábor Németh, Daniela Stan Raicu, Anne-Mareike Rau, Eva M. van Rikxoort, Mikaël Rousson, László Ruskó, Kinda Anna Saddi, Günter Schmidt, Dieter Seghers, Akinobu Shimizu, Pieter Slagmolen, Erich Sorantin, Grzegorz Soza, Ruchaneewan Susomboon, Jonathan M. Waite, Andreas Wimmer, Ivo Wolf:
Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets. IEEE Trans. Medical Imaging 28(8): 1251-1265 (2009) - [c17]Thomas Lange, Stefan Wörz, Karl Rohr, Peter-Michael Schlag:
Landmark-Based 3D Elastic Registration of Pre- and Postoperative Liver CT Data. Bildverarbeitung für die Medizin 2009: 107-111 - [c16]Nils Papenberg, Janine Olesch, Thomas Lange, Peter-Michael Schlag, Bernd Fischer:
Landmark Constrained Non-parametric Image Registration with Isotropic Tolerances. Bildverarbeitung für die Medizin 2009: 122-126 - [c15]Thomas Lange, Stefan Wörz, Karl Rohr, Peter M. Schlag:
Experimental comparison of landmark-based methods for 3D elastic registration of pre- and postoperative liver CT data. Medical Imaging: Image-Guided Procedures 2009: 72610M - [c14]Janine Olesch, Nils Papenberg, Thomas Lange, Matthias Conrad, Bernd Fischer:
Matching CT and ultrasound data of the liver by landmark constrained image registration. Medical Imaging: Image-Guided Procedures 2009: 72610G - 2008
- [j1]Siegfried Beller, Thomas Lange, Sebastian Eulenstein, L. Beller, S. Chopra, O. Dudeck, Peter-Michael Schlag, Michael Hünerbein:
3D-Elaboration of postoperative CT data after liver resection: technique and utility. Int. J. Comput. Assist. Radiol. Surg. 3(6): 581-589 (2008) - [c13]Thomas Lange, Hans Lamecker, Michael Hünerbein, Sebastian Eulenstein, Siegfried Beller, Peter-Michael Schlag:
Validation Metrics for Non-rigid Registration of Medical Images Containing Vessel Trees. Bildverarbeitung für die Medizin 2008: 82-86 - [c12]Nils Papenberg, Thomas Lange, Jan Modersitzki, Peter M. Schlag, Bernd Fischer:
Image registration for CT and intra-operative ultrasound data of the liver. Medical Imaging: Image-Guided Procedures 2008: 691808 - [c11]Stefan Stein, Thomas Lange, Stefanie Zittlau, Sandra Jakob, Matthias Ehrenstein, J. Felix Hampe:
mGeoWiki. MMS 2008: 67-80 - 2007
- [c10]Thomas Lange, Hans Lamecker, Michael Hünerbein, Sebastian Eulenstein, Siegfried Beller, Peter-Michael Schlag:
A New Class of Distance Measures for Registration of Tubular Models to Image Data. Bildverarbeitung für die Medizin 2007: 101-105 - 2005
- [c9]Holger Blaar, Thomas Lange, Renate Winter, Marcel Karnstedt:
Possibilities to Solve the Clique Problem by Thread Parallelism using Task Pools. IPDPS 2005 - 2004
- [c8]Thomas Lange, Per-Ulf Tunn, Hans Lamecker, Peter Scheinemann, Sebastian Eulenstein, Peter-Michael Schlag:
Computerunterstützte Prothesenkonstruktion mittels statistischen Formmodells bei Beckenresektionen. Bildverarbeitung für die Medizin 2004: 30-34 - [c7]Thomas Lange, Sebastian Eulenstein, Michael Hünerbein, Peter-Michael Schlag:
Nichtlineare Registrierung von Gefäßmodellen aus MR/CT mit intraoperativem 3D Ultraschall. Bildverarbeitung für die Medizin 2004: 289-293 - [c6]Sebastian Eulenstein, Thomas Lange, Michael Hünerbein, Peter-Michael Schlag, Hans Lamecker:
Ultrasound-based navigation system incorporating preoperative planning for liver surgery. CARS 2004: 758-763 - [c5]Thomas Lange, Sebastian Eulenstein, Michael Hünerbein, Hans Lamecker, Peter-Michael Schlag:
Augmenting Intraoperative 3D Ultrasound with Preoperative Models for Navigation in Liver Surgery. MICCAI (2) 2004: 534-541 - 2003
- [c4]Thomas Lange, Hans Lamecker, Martin Seebass:
Ein Softwarepaket für die modellbasierte Segmentierung anatomischer Strukturen. Bildverarbeitung für die Medizin 2003: 111-115 - [c3]Hans Lamecker, Thomas Lange, Martin Seebass:
Erzeugung statistischer 3D-Formmodelle zur Segmentierung medizinischer Bilddaten. Bildverarbeitung für die Medizin 2003: 398-402 - 2002
- [c2]Hans Lamecker, Thomas Lange, Martin Seebass:
A Statistical Shape Model for the Liver. MICCAI (2) 2002: 421-427 - 2001
- [c1]Thomas Lange, Waldemar Wlodarczyk, Arnd Weider, Stephan Venz, Peter Wust:
Automatic detection of arterial input functions for quantification of perfusion. CARS 2001: 1186-1187
Coauthor Index
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