4 papers
FD-AA: A Lightweight Focal-Diffuse And Attenuation-Aware Head for Incidental Abdominal Abnormality Detection in Chest CT
Haoyan Ding, Kritika Iyer, Halid Yerebakan +9
Routine chest CT captures upper-abdominal structures that may contain clinically relevant incidental abnormalities. Detecting these findings requires feature extraction from organs…
Fast Multi-Organ Fine Segmentation in CT Images with Hierarchical Sparse Sampling and Residual Transformer
Xueqi Guo, Halid Ziya Yerebakan, Yoshihisa Shinagawa +2
Multi-organ segmentation of 3D medical images is fundamental with meaningful applications in various clinical automation pipelines. Although deep learning has achieved superior per…
BodyGPS: Anatomical Positioning System
Halid Ziya Yerebakan, Kritika Iyer, Xueqi Guo +2
We introduce a new type of foundational model for parsing human anatomy in medical images that works for different modalities. It supports supervised or unsupervised training and c…
Evaluating unsupervised contrastive learning framework for MRI sequences classification
Yuli Wang, Kritika Iyer, Sep Farhand +1
The automatic identification of Magnetic Resonance Imaging (MRI) sequences can streamline clinical workflows by reducing the time radiologists spend manually sorting and identifyin…