Area of research
Computer Vision and Pattern Recognition · Biomedical Engineering
Research interest
Research interests include Medical Image Segmentation Techniques, Medical Imaging and Analysis, 3D Shape Modeling and Analysis, and AI in cancer detection.
VIMs: Virtual Immunohistochemistry Multiplex Staining via Text-to-Stain Diffusion Trained on Uniplex Stains
DeepSSM: A blueprint for image-to-shape deep learning models
Automating Ground Truth Annotations for Gland Segmentation Through Immunohistochemistry
Statistical multi-level shape models for scalable modeling of multi-organ anatomies
Statistical shape modeling of multi-organ anatomies with shared boundaries
From Images to Probabilistic Anatomical Shapes: A Deep Variational Bottleneck Approach
Multi-level multi-domain statistical shape model of the subtalar, talonavicular, and calcaneocuboid joints
Small-molecule mimicry hunting strategy in the imperial cone snail, <i>Conus imperialis</i>
Prediction of femoral head coverage from articulated statistical shape models of patients with developmental dysplasia of the hip
Thinking outside the glenohumeral box: Hierarchical shape variation of the periarticular anatomy of the scapula using statistical shape modeling
Coracoacromial morphology: a contributor to recurrent traumatic anterior glenohumeral instability?
Which Two-dimensional Radiographic Measurements of Cam Femoroacetabular Impingement Best Describe the Three-dimensional Shape of the Proximal Femur?
DeepSSM: A Deep Learning Framework for Statistical Shape Modeling from Raw Images
On the Evaluation and Validation of Off-the-Shelf Statistical Shape Modeling Tools: A Clinical Application
Skeletal Shape Correspondence Through Entropy
ShapeCut: Bayesian surface estimation using shape-driven graph
Quantitative comparison of cortical bone thickness using correspondence-based shape modeling in patients with cam femoroacetabular impingement