Better Fiber ODFs from Suboptimal Data with Autoencoder Based Regularization. - Kanil Patel; Samuel Groeschel; Thomas Schultz 001 (MICCAI (3), 2018)

On-manifold Adversarial Data Augmentation Improves Uncertainty Calibration. - Kanil Patel; William Beluch; Dan Zhang 003; Michael Pfeiffer 001; Bin Yang 009 (ICPR, 2020)

Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning. - Kanil Patel; William H. Beluch; Bin Yang 009; Michael Pfeiffer 001; Dan Zhang 003 (ICLR, 2021)

Investigation of Uncertainty of Deep Learning-based Object Classification on Radar Spectra. - Kanil Patel; William Beluch; Kilian Rambach; Adriana-Eliza Cozma; Michael Pfeiffer 001; Bin Yang 009 (CoRR, 2021)

Improving Uncertainty of Deep Learning-based Object Classification on Radar Spectra using Label Smoothing. - Kanil Patel; William Beluch; Kilian Rambach; Michael Pfeiffer 001; Bin Yang 009 (CoRR, 2021)

Improving automotive radar spectra object classification using deep learning and multi-class uncertainty calibration - Kanil Patel (2022)

Validation of composite systems by discrepancy propagation. - David Reeb; Kanil Patel; Karim Said Barsim; Martin Schiegg; Sebastian Gerwinn (UAI, 2023)