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Author search results
Exact matches
- Michael Markl
- Michael Markl 0001
Northwestern University, Chicago, IL, USA - Michael Markl 0002
Universität Augsburg, Augsburg, Germany
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Publication search results
found 71 matches
- 2024
- Michael Batanin, Martin Markl:
Operads, Operadic Categories and the Blob Complex. Appl. Categorical Struct. 32(1): 6 (2024) - Thara Nallamothu
, Maurice Pradella
, Michael Markl, Philip Greenland
, Rod S. Passman, Mohammed S. M. ElBaz
:
Robust and fast stochastic 4D flow vector-field signature technique for quantifying composite flow dynamics from 4D flow MRI: Application to left atrial flow in atrial fibrillation. Medical Image Anal. 92: 103065 (2024) - Steffen Zeuch, Ankit Chaudhary, Viktor Rosenfeld, Taha Tekdogan, Adrian Michalke, Matthis Gördel, Ariane Ziehn, Volker Markl:
Using and Enhancing NebulaStream - A Tutorial. DEBS 2024: 212-216 - Tobias Harks, Sven Jäger, Michael Markl, Philine Schiewe:
Computing User Equilibria for Schedule-Based Transit Networks with Hard Vehicle Capacities. CoRR abs/2406.17153 (2024) - Zi Wang, Fanwen Wang, Chen Qin, Jun Lyu, Ouyang Cheng, Shuo Wang, Yan Li, Mengyao Yu, Haoyu Zhang, Kunyuan Guo, Zhang Shi, Qirong Li, Ziqiang Xu, Yajing Zhang, Hao Li, Sha Hua, Binghua Chen, Longyu Sun, Mengting Sun, Qin Li, Ying-Hua Chu, Wenjia Bai, Jing Qin, Xiahai Zhuang, Claudia Prieto, Alistair A. Young, Michael Markl, He Wang, Lianming Wu, Guang Yang, Xiaobo Qu, Chengyan Wang:
CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI. CoRR abs/2406.19043 (2024) - 2023
- Sean M. Rothenberger
, Neal M. Patel
, Jiacheng Zhang
, Susanne Schnell, Bruce A. Craig
, Sameer A. Ansari
, Michael Markl, Pavlos P. Vlachos
, Vitaliy L. Rayz
:
Automatic 4D Flow MRI Segmentation Using the Standardized Difference of Means Velocity. IEEE Trans. Medical Imaging 42(8): 2360-2373 (2023) - Mahmoud E. Khani, Ethan M. I. Johnson, Aparna Sodhi, Joshua D. Robinson, Cynthia K. Rigsby, Bradly D. Allen, Michael Markl:
A deep learning approach to using wearable seismocardiography (SCG) for diagnosing aortic valve stenosis and predicting aortic hemodynamics obtained by 4D flow MRI. CoRR abs/2301.02130 (2023) - Peter K. Eastman, Raimondas Galvelis, Raúl P. Peláez, Charlles R. A. Abreu, Stephen E. Farr, Emilio Gallicchio, Anton Gorenko, Michael M. Henry, Frank Hu, Jing Huang, Andreas Krämer, Julien Michel, Joshua A. Mitchell, Vijay S. Pande, João P. G. L. M. Rodrigues, Jaime Rodríguez-Guerra, Andrew C. Simmonett, Jason M. Swails, Ivy Zhang, John D. Chodera, Gianni De Fabritiis, Thomas E. Markland:
OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials. CoRR abs/2310.03121 (2023) - 2022
- Daniel Abadi, Anastasia Ailamaki, David G. Andersen, Peter Bailis, Magdalena Balazinska, Philip A. Bernstein, Peter A. Boncz, Surajit Chaudhuri, Alvin Cheung
, AnHai Doan, Luna Dong, Michael J. Franklin, Juliana Freire, Alon Y. Halevy, Joseph M. Hellerstein, Stratos Idreos, Donald Kossmann, Tim Kraska, Sailesh Krishnamurthy, Volker Markl, Sergey Melnik, Tova Milo, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Jignesh M. Patel, Andrew Pavlo
, Raluca A. Popa, Raghu Ramakrishnan, Christopher Ré, Michael Stonebraker, Dan Suciu
:
The Seattle report on database research. Commun. ACM 65(8): 72-79 (2022) - Sean M. Rothenberger
, Jiacheng Zhang
, Melissa C. Brindise
, Susanne Schnell
, Michael Markl, Pavlos P. Vlachos
, Vitaliy L. Rayz:
Modeling Bias Error in 4D Flow MRI Velocity Measurements. IEEE Trans. Medical Imaging 41(7): 1802-1812 (2022) - Lukas Graf, Tobias Harks, Kostas Kollias, Michael Markl:
Machine-Learned Prediction Equilibrium for Dynamic Traffic Assignment. AAAI 2022: 5059-5067 - Shiori Sagawa, Pang Wei Koh, Tony Lee, Irena Gao, Sang Michael Xie, Kendrick Shen, Ananya Kumar, Weihua Hu, Michihiro Yasunaga, Henrik Marklund, Sara Beery, Etienne David, Ian Stavness, Wei Guo
, Jure Leskovec, Kate Saenko, Tatsunori Hashimoto, Sergey Levine, Chelsea Finn, Percy Liang:
Extending the WILDS Benchmark for Unsupervised Adaptation. ICLR 2022 - Sourav Halder, Ethan M. Johnson, Jun Yamasaki
, Peter J. Kahrilas, Michael Markl, John E. Pandolfino, Neelesh A. Patankar:
MRI-MECH: Mechanics-informed MRI to estimate esophageal health. CoRR abs/2209.07492 (2022) - 2021
- Jiacheng Zhang
, Sean Rothenberger
, Melissa C. Brindise
, Michael Scott
, Haben Berhane
, Justin J. Baraboo
, Michael Markl, Vitaliy L. Rayz, Pavlos P. Vlachos
:
Divergence-Free Constrained Phase Unwrapping and Denoising for 4D Flow MRI Using Weighted Least-Squares. IEEE Trans. Medical Imaging 40(12): 3389-3399 (2021) - Adrian Michalke, Philipp M. Grulich, Clemens Lutz
, Steffen Zeuch, Volker Markl:
An Energy-Efficient Stream Join for the Internet of Things. DaMoN 2021: 8:1-8:6 - Bryan D. Chiles, Max H. Nerheim, Ryan C. Markle, Michael A. Brave, Dorin Panescu, Mark W. Kroll:
Estimation of Physiological Impedance from Neuromuscular Pulse Data. EMBC 2021: 1246-1251 - Bryan D. Chiles, Max H. Nerheim, Ryan C. Markle, Michael A. Brave, Dorin Panescu, Mark W. Kroll:
Detection of Arcing and High Impedance with Electrical Weapons. EMBC 2021: 1252-1256 - Pang Wei Koh, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin Zhang, Akshay Balsubramani, Weihua Hu, Michihiro Yasunaga, Richard Lanas Phillips, Irena Gao, Tony Lee, Etienne David, Ian Stavness, Wei Guo, Berton Earnshaw, Imran S. Haque, Sara M. Beery, Jure Leskovec, Anshul Kundaje, Emma Pierson, Sergey Levine, Chelsea Finn, Percy Liang:
WILDS: A Benchmark of in-the-Wild Distribution Shifts. ICML 2021: 5637-5664 - Mohammed S. M. ElBaz
, Chris Malaisrie, Patrick McCarthy, Michael Markl:
Stochastic 4D Flow Vector-Field Signatures: A New Approach for Comprehensive 4D Flow MRI Quantification. MICCAI (5) 2021: 215-224 - Sebastian Baunsgaard, Matthias Boehm, Ankit Chaudhary, Behrouz Derakhshan, Stefan Geißelsöder, Philipp M. Grulich, Michael Hildebrand, Kevin Innerebner, Volker Markl, Claus Neubauer, Sarah Osterburg, Olga Ovcharenko, Sergey Redyuk, Tobias Rieger, Alireza Rezaei Mahdiraji, Sebastian Benjamin Wrede, Steffen Zeuch:
ExDRa: Exploratory Data Science on Federated Raw Data. SIGMOD Conference 2021: 2450-2463 - Lukas Graf, Tobias Harks, Kostas Kollias, Michael Markl:
Machine-Learned Prediction Equilibrium for Dynamic Traffic Assignment. CoRR abs/2109.06713 (2021) - Shiori Sagawa, Pang Wei Koh, Tony Lee, Irena Gao, Sang Michael Xie, Kendrick Shen, Ananya Kumar, Weihua Hu, Michihiro Yasunaga, Henrik Marklund, Sara Beery, Etienne David, Ian Stavness, Wei Guo, Jure Leskovec, Kate Saenko, Tatsunori Hashimoto, Sergey Levine, Chelsea Finn, Percy Liang:
Extending the WILDS Benchmark for Unsupervised Adaptation. CoRR abs/2112.05090 (2021) - 2020
- Michael R. Kellman
, Kevin Zhang
, Eric Markley, Jonathan I. Tamir
, Emrah Bostan, Michael Lustig, Laura Waller
:
Memory-Efficient Learning for Large-Scale Computational Imaging. IEEE Trans. Computational Imaging 6: 1403-1414 (2020) - Jiacheng Zhang
, Melissa C. Brindise
, Sean Rothenberger
, Susanne Schnell
, Michael Markl, David Saloner
, Vitaliy L. Rayz, Pavlos P. Vlachos
:
4D Flow MRI Pressure Estimation Using Velocity Measurement-Error-Based Weighted Least-Squares. IEEE Trans. Medical Imaging 39(5): 1668-1680 (2020) - Haralampos Gavriilidis, Adrian Michalke, Laura Mons, Steffen Zeuch, Volker Markl:
Scaling a Public Transport Monitoring System to Internet of Things Infrastructures. EDBT 2020: 627-630 - Pang Wei Koh, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin Zhang, Akshay Balsubramani, Weihua Hu, Michihiro Yasunaga, Richard Lanas Phillips, Sara Beery, Jure Leskovec, Anshul Kundaje, Emma Pierson, Sergey Levine, Chelsea Finn, Percy Liang:
WILDS: A Benchmark of in-the-Wild Distribution Shifts. CoRR abs/2012.07421 (2020) - 2019
- Ali Sheharyar
, Alexander Ruh
, Maria Aristova, Michael Scott
, Kelly Jarvis, Mohammed S. M. ElBaz
, Ryan Dolan, Susanne Schnell
, Kai Lin, James Carr, Michael Markl, Othmane Bouhali
, Lars Linsen:
Visual analysis of regional myocardial motion anomalies in longitudinal studies. Comput. Graph. 83: 62-76 (2019) - Daniel Abadi, Anastasia Ailamaki, David G. Andersen, Peter Bailis, Magdalena Balazinska, Philip A. Bernstein, Peter A. Boncz, Surajit Chaudhuri, Alvin Cheung
, AnHai Doan, Luna Dong, Michael J. Franklin, Juliana Freire, Alon Y. Halevy, Joseph M. Hellerstein, Stratos Idreos, Donald Kossmann, Tim Kraska, Sailesh Krishnamurthy, Volker Markl, Sergey Melnik, Tova Milo, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan
, Jignesh M. Patel, Andrew Pavlo
, Raluca A. Popa, Raghu Ramakrishnan, Christopher Ré, Michael Stonebraker, Dan Suciu
:
The Seattle Report on Database Research. SIGMOD Rec. 48(4): 44-53 (2019) - Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Christopher Chute, Henrik Marklund, Behzad Haghgoo, Robyn L. Ball, Katie S. Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi
, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, Andrew Y. Ng:
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison. AAAI 2019: 590-597 - Rob van Glabbeek, Peter Höfner, Michael Markl:
A Process Algebra for Link Layer Protocols. ESOP 2019: 668-693
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