127 citations · 523 across the 58 of their papers we have counts for
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Acquisition Time-Informed Breast Tumor Segmentation from Dynamic Contrast-Enhanced MRI
Rui Wang, Yuexi Du, John Lewin +2
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) plays an important role in breast cancer screening, tumor assessment, and treatment planning and monitoring. The dyna…
GLAM: Geometry-Guided Local Alignment for Multi-View VLP in Mammography
Yuexi Du, Lihui Chen, Nicha C. Dvornek
Mammography screening is an essential tool for early detection of breast cancer. The speed and accuracy of mammography interpretation have the potential to be improved with deep le…
CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray
Mingquan Lin, Gregory Holste, Song Wang +30
The CXR-LT series is a community-driven initiative designed to enhance lung disease classification using chest X-rays (CXR). It tackles challenges in open long-tailed lung disease…
Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology
Fuyao Chen, Yuexi Du, Tal Zeevi +2
Histopathology evaluation of tissue specimens through microscopic examination is essential for accurate disease diagnosis and prognosis. However, traditional manual analysis by spe…
GMR-Conv: An Efficient Rotation and Reflection Equivariant Convolution Kernel Using Gaussian Mixture Rings
Yuexi Du, Jiazhen Zhang, Nicha C. Dvornek +1
Symmetry, where certain features remain invariant under geometric transformations, can often serve as a powerful prior in designing convolutional neural networks (CNNs). While conv…
Fed-NDIF: A Noise-Embedded Federated Diffusion Model For Low-Count Whole-Body PET Denoising
Yinchi Zhou, Huidong Xie, Menghua Xia +12
Low-count positron emission tomography (LCPET) imaging can reduce patients' exposure to radiation but often suffers from increased image noise and reduced lesion detectability, nec…
Causal Modeling of fMRI Time-series for Interpretable Autism Spectrum Disorder Classification
Peiyu Duan, Nicha C. Dvornek, Jiyao Wang +2
Autism spectrum disorder (ASD) is a neurological and developmental disorder that affects social and communicative behaviors. It emerges in early life and is generally associated wi…
Towards Zero-Shot Task-Generalizable Learning on fMRI
Jiyao Wang, Nicha C. Dvornek, Peiyu Duan +2
Functional MRI measuring BOLD signal is an increasingly important imaging modality in studying brain functions and neurological disorders. It can be acquired in either a resting-st…
Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net
Jiazhen Zhang, Yuexi Du, Nicha C. Dvornek +1
Automated segmentation plays a pivotal role in medical image analysis and computer-assisted interventions. Despite the promising performance of existing methods based on convolutio…
SRE-Conv: Symmetric Rotation Equivariant Convolution for Biomedical Image Classification
Yuexi Du, Jiazhen Zhang, Tal Zeevi +2
Convolutional neural networks (CNNs) are essential tools for computer vision tasks, but they lack traditionally desired properties of extracted features that could further improve…