Zien Ma, S. M. Shermer, Oktay Karakuş, Frank C. Langbein. The Sim-to-Real Gap in MRS Quantification: A Systematic Deep Learning Validation for GABA. Preprint, February 2026. [PDF] [arXiv:2602.20289]
publication
Thomas Greatrix, Frank C. Langbein, Roger M. Whitaker, Gualtiero B. Colombo, Liam D. Turner. High-Confidence Labelling of Pathology Reports using LLM-Based Unanimous Ensembles with Limited Data. Proc AI in Healthcare (AIiH), Cambridge, UK, September 2025. [PDF]
High-Confidence Labelling of Pathology Reports using LLM-Based Unanimous Ensembles with ...
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] [PDF:Poster]
The Impact of Training Data on MRS Metabolite Quantification with ...
CA Weidner, SP O’Neil, EA Jonckheere, FC Langbein, SG Schirmer. Energy Landscape Shaping for Robust Control of Atoms in Optical Lattices. New J. Phys. 27 064503, 2025. [arXiv:2501.12564] [DOI:10.1088/1367-2630/addc0d] [PDF]
Energy Landscape Shaping for Robust Control of Atoms in Optical ...
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]