BAST: Binaural Audio Spectrogram Transformer for Binaural Sound Localization. - Sheng Kuang; Kiki van der Heijden; Siamak Mehrkanoon (CoRR, 2022)

Leveraging Uncertainty Estimation for Segmentation of Kidney, Kidney Tumor and Kidney Cysts. - Zohaib Salahuddin; Sheng Kuang; Philippe Lambin; Henry C. Woodruff (KiTS@MICCAI, 2023)

MSCDA: Multi-level semantic-guided contrast improves unsupervised domain adaptation for breast MRI segmentation in small datasets. - Sheng Kuang; Henry C. Woodruff; Renee Granzier; Thiemo J. A. van Nijnatten; Marc B. I. Lobbes; Marjolein L. Smidt; Philippe Lambin; Siamak Mehrkanoon (Neural Networks, 2023)

Counterfactuals and Uncertainty-Based Explainable Paradigm for the Automated Detection and Segmentation of Renal Cysts in Computed Tomography Images: A Multi-Center Study. - Zohaib Salahuddin; Abdalla Ibrahim; Sheng Kuang; Yousif Widaatalla; Razvan L. Miclea; Oliver Morin; Spencer Behr; Marnix P. M. Kop; Tom Marcelissen; Patricia Zondervan; Auke Jager; Philippe Lambin; et al. (CoRR, 2024)

BAST-Mamba: Binaural Audio Spectrogram Mamba Transformer for binaural sound localization. - Sheng Kuang; Jie Shi; Kiki van der Heijden; Siamak Mehrkanoon (Neurocomputing, 2025)

Explainable Anatomy-Guided AI for Prostate MRI: Foundation Models and In Silico Clinical Trials for Virtual Biopsy-based Risk Assessment. - Danial Khan; Zohaib Salahuddin; Yumeng Zhang; Sheng Kuang; Shruti Atul Mali; Henry C. Woodruff; Sina Amirrajab; Rachel Cavill; Eduardo Ibor-Crespo; Ana Jimenez-Pastor; Adrián Galiana-Bordera; Paula Jimenez Gomez; et al. (CoRR, 2025)