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2020 – today
- 2024
[i4]Lukas Heinlein, Roman C. Maron, Achim Hekler, Sarah Haggenmüller, Christoph Wies, Jochen S. Utikal, Friedegund Meier, Sarah Hobelsberger, Frank Friedrich Gellrich, Mildred Sergon, Axel Hauschild, Lars E. French, Lucie Heinzerling, Justin G. Schlager, Kamran Ghoreschi, Max Schlaak, Franz J. Hilke, Gabriela Poch, Sören Korsing, Carola Berking, Markus V. Heppt, Michael Erdmann, Sebastian Haferkamp
, Konstantin Drexler, Dirk Schadendorf, Wiebke Sondermann, Matthias Goebeler, Bastian Schilling, Eva Krieghoff-Henning, Titus J. Brinker:
Clinical Melanoma Diagnosis with Artificial Intelligence: Insights from a Prospective Multicenter Study. CoRR abs/2401.14193 (2024)- 2023
- [c11]Achim Hekler, Titus J. Brinker, Florian Buettner:
Test Time Augmentation Meets Post-hoc Calibration: Uncertainty Quantification under Real-World Conditions. AAAI 2023: 14856-14864 - [i3]Achim Hekler, Roman C. Maron, Sarah Haggenmüller, Max Schmitt, Christoph Wies, Jochen S. Utikal, Friedegund Meier, Sarah Hobelsberger, Frank Friedrich Gellrich, Mildred Sergon, Axel Hauschild, Lars E. French, Lucie Heinzerling, Justin G. Schlager, Kamran Ghoreschi, Max Schlaak, Franz J. Hilke, Gabriela Poch, Sören Korsing, Carola Berking, Markus V. Heppt, Michael Erdmann, Sebastian Haferkamp, Konstantin Drexler, Dirk Schadendorf, Wiebke Sondermann, Matthias Goebeler, Bastian Schilling, Jakob Nikolas Kather, Eva Krieghoff-Henning, Titus J. Brinker:
Using Multiple Dermoscopic Photographs of One Lesion Improves Melanoma Classification via Deep Learning: A Prognostic Diagnostic Accuracy Study. CoRR abs/2306.02800 (2023)
2010 – 2019
- 2013
- [c10]Jörg Fischer, Achim Hekler, Maxim Dolgov, Uwe D. Hanebeck:
Optimal sequence-based LQG control over TCP-like networks subject to random transmission delays and packet losses. ACC 2013: 1543-1549 - 2012
- [c9]Achim Hekler, Christof Chlebek, Uwe D. Hanebeck:
Open-loop feedback control of nonlinear stochastic systems based on deterministic dirac mixture densities. ACC 2012: 68-73 - [c8]Achim Hekler, Jörg Fischer, Uwe D. Hanebeck:
Sequence-based control for networked control systems based on virtual control inputs. CDC 2012: 7-13 - [c7]Christof Chlebek, Achim Hekler, Uwe D. Hanebeck:
Stochastic nonlinear model predictive control based on progressive density simplification. CDC 2012: 2619-2624 - [c6]Achim Hekler, Jörg Fischer, Uwe D. Hanebeck:
Control over unreliable networks based on control input densities. FUSION 2012: 1277-1283 - [c5]Jörg Fischer, Achim Hekler, Uwe D. Hanebeck:
State estimation in Networked Control Systems. FUSION 2012: 1947-1954 - [i2]Achim Hekler, Jörg Fischer, Uwe D. Hanebeck:
Sequence-Based Control for Networked Control Systems Based on Virtual Control Inputs. CoRR abs/1206.0549 (2012) - [i1]Jörg Fischer, Achim Hekler, Maxim Dolgov, Uwe D. Hanebeck:
Optimal Sequence-Based LQG Control over TCP-like Networks Subject to Random Transmission Delays and Packet Losses. CoRR abs/1211.3020 (2012) - 2011
- [c4]Achim Hekler, Martin Kiefel, Uwe D. Hanebeck:
Stochastic nonlinear open-loop feedback control with guaranteed error bounds using compactly supported wavelets. CDC/ECC 2011: 7697-7702 - 2010
- [c3]Achim Hekler, Daniel Lyons, Benjamin Noack, Uwe D. Hanebeck:
Nonlinear Model Predictive Control Considering Stochastic and Systematic Uncertainties with Sets of Densities. CCA 2010: 1337-1342 - [c2]Achim Hekler, Martin Kiefel, Uwe D. Hanebeck:
Nonlinear Bayesian estimation with compactly supported wavelets. CDC 2010: 5701-5706 - [c1]Daniel Lyons, Achim Hekler, Markus Kuderer, Uwe D. Hanebeck:
Robust model predictive control with least favorable measurements. MFI 2010: 193-198
Coauthor Index
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