Sheng Kuang

According to our database, Sheng Kuang authored at least 6 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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, Luis Martí-Bonmatí, Philippe Lambin

CoRR, May, 2025

BAST-Mamba: Binaural Audio Spectrogram Mamba Transformer for binaural sound localization.

Sheng Kuang, Jie Shi, Kiki van der Heijden, Siamak Mehrkanoon

Neurocomputing, 2025

2024

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, Henry C. Woodruff

CoRR, 2024

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, August, 2023

Leveraging Uncertainty Estimation for Segmentation of Kidney, Kidney Tumor and Kidney Cysts.

Zohaib Salahuddin, Sheng Kuang, Philippe Lambin, Henry C. Woodruff

Proceedings of the Kidney and Kidney Tumor Segmentation - MICCAI 2023 Challenge, 2023

2022

BAST: Binaural Audio Spectrogram Transformer for Binaural Sound Localization.

Sheng Kuang, Kiki van der Heijden, Siamak Mehrkanoon

CoRR, 2022