activity
20222025
most citedBAST: Binaural Audio Spectrogram Transformer for Binaural Sound Localization

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025★ 1 cited

Radiology Report Conditional 3D CT Generation with Multi Encoder Latent diffusion Model

Sina Amirrajab, Zohaib Salahuddin, Sheng Kuang +2

Text to image latent diffusion models have recently advanced medical image synthesis, but applications to 3D CT generation remain limited. Existing approaches rely on simplified pr…

eess.IV2025

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 +11

We present a fully automated, anatomically guided deep learning pipeline for prostate cancer (PCa) risk stratification using routine MRI. The pipeline integrates three key componen…

eess.IV2024

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 +10

Routine computed tomography (CT) scans often detect a wide range of renal cysts, some of which may be malignant. Early and precise localization of these cysts can significantly aid…

q-bio.QM2023

MSCDA: Multi-level Semantic-guided Contrast Improves Unsupervised Domain Adaptation for Breast MRI Segmentation in Small Datasets

Sheng Kuang, Henry C. Woodruff, Renee Granzier +5

Deep learning (DL) applied to breast tissue segmentation in magnetic resonance imaging (MRI) has received increased attention in the last decade, however, the domain shift which ar…

cs.SD2022★ 2 cited

BAST: Binaural Audio Spectrogram Transformer for Binaural Sound Localization

Sheng Kuang, Jie Shi, Kiki van der Heijden +1

Accurate sound localization in a reverberation environment is essential for human auditory perception. Recently, Convolutional Neural Networks (CNNs) have been utilized to model th…