Z Ma, O Karakus, SM Shermer, FC Langbein. The Impact of Training Data on MRS Metabolite Quantification with Deep Learning. Poster. ISMRM & ISMRT Annual Meeting & Exhibition, Honolulu, Hawaiʻi, USA, 10-15 May 2025. [PDF:Abstract]
publication
Asmail Muftah, SM Shermer, Frank C Langbein. Texture Feature Analysis for Classification of Early-Stage Prostate Cancer in mpMRI. Proc AI in Healthcare (AIiH), Swansea, UK, September 2024. [PDF] [arXiv:2406.15571]
Texture Feature Analysis for Classification of Early-Stage Prostate Cancer in ...
E Alwadee, X Sun, Y Qin, FC Langbein. Assessing and Enhancing the Robustness of Brain Tumor Segmentation using a Probabilistic Deep Learning Architecture. Proc ISMRM and ISMRT Annual Meeting and Exhibition, Singapore, May 2024. [PDF] [Slides:PDF] [Video]
Assessing and Enhancing the Robustness of Brain Tumor Segmentation using ...
E Alwadee, X Sun, Y Qin, FC Langbein. LATUP-Net: A Lightweight 3D Attention U-Net with Parallel Convolutions for Brain Tumor Segmentation. Computers in Biology and Medicine, 184:109353, 2025. [DOI:10.1016/j.compbiomed.2024.109353] [arXiv:2404.05911] [PDF]
LATUP-Net: A Lightweight 3D Attention U-Net with Parallel Convolutions for ...
S. P. O’Neil, C. A. Weidner, E. A. Jonckheere, F. C. Langbein, S. G. Schirmer. Robustness of Dynamic Quantum Control: Differential Sensitivity Bounds. AVS Quantum Sci. 6, 032001, 2024. [DOI:10.1116/5.0196110] [arXiv:2401.00301] [PDF]
Robustness of Dynamic Quantum Control: Differential Sensitivity Bounds
C. A. Weidner, E. A. Reed, J. Monroe, S. O’Neil, E. Maas, E. A. Jonckheere, F. C. Langbein, S. G. Schirmer. Robust Quantum Control in Closed and Open Systems: Theory and Practice. Automatica, 172:111987, 2025. [DIO:10.1016/j.automatica.2024.111987] [arXiv:2401.00294] [PDF]
Robust Quantum Control in Closed and Open Systems: Theory and ...
E Jonckheere, SG Schirmer, FC Langbein, CA Weidner, S O’Neil. Disturbance-agnostic robust performance with structured uncertainties and initial state error in classical versus quantum oscillatory systems. Preprint, 2023. [arXiv:2305.03918] [PDF]
Disturbance-agnostic robust performance with structured uncertainties and initial state error ...
I Khalid, CA Weider, EA Jonckheere, SG Shermer, FC Langbein. Sample-efficient Model-based Reinforcement Learning for Quantum Control. Phys. Rev. Research 5, 043002, 2023. [DOI:10.1103/PhysRevResearch.5.043002] [arXiv:2304.09718] [PDF]
Sample-efficient Model-based Reinforcement Learning for Quantum Control
Irtaza Khalid, Carrie Weidner, S.G. Schirmer, Edmond Jonckheere, Frank C. Langbein. Sample-efficient Model-based Reinforcement Learning for Quantum Control. Poster, BQIT:23, 2023. [PDF:poster]
BQIT:23 – Sample-efficient Model-based Reinforcement Learning for Quantum Control
SP O’Neil, I Khalid, AA Rompokmos, CA Weidner, FC Langbein, S Schirmer, EA Jonckmheere. Analyzing and Unifying Robustness Measures for Excitation Transfer Control in Spin Networks. IEEE Control Systems Letters, 7:1783-1788, 2023. Also accepted for presentation at the IEEE Conf. Decision and Control (CDC) 2023. [DOI:10.1109/LCSYS.2023.3279797] [arXiv:2303.09518] [PDF]
Analyzing and Unifying Robustness Measures for Excitation Transfer Control in ...
S O’Neil, FC Langbein, E Jonckheere, SG Shermer. Robustness of Energy Landscape Control to Dephasing. Research Directions: Quantum Technologies, 1, E13, 2023. [DOI:10.1017/qut.2023.6] [arXiv:2303.05649] [PDF]
Robustness of Energy Landscape Control to Dephasing
S O’Neil, FC Langbein, E Jonckheere, SG Shermer. Robustness of Energy Landscape Controllers for Spin Rings under Coherent Excitation Transport. Research Directions: Quantum Technologies, Volume 1, e12, 2023. [DOI:10.1017/qut.2023.5] [arXiv:2303.00142] [PDF]