Austin Tapp
Orcid: 0000-0002-0043-6360
  According to our database1,
  Austin Tapp
  authored at least 15 papers
  between 2018 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
  2025
Synthesis of Pathological Dual-Channel Color Doppler Echocardiograms for Equitable Diagnosis of Heart Diseases.
    
  
    Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
    
  
Controllable Latent Diffusion-Based 3D Brain Tumor Segmentation: With Synthetic Label Generation and Detailed Variance Map.
    
  
    Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025
    
  
  2024
Adult Glioma Segmentation in Sub-Saharan Africa using Transfer Learning on Stratified Finetuning Data.
    
  
    CoRR, 2024
    
  
Magnetic Resonance Imaging Feature-Based Subtyping and Model Ensemble for Enhanced Brain Tumor Segmentation.
    
  
    CoRR, 2024
    
  
    Proceedings of the 20th International Symposium on Medical Information Processing and Analysis, 2024
    
  
Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration.
    
  
    Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024
    
  
Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion.
    
  
    Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
    
  
Quality Assurance and Hippocampal Segmentation on Low-Field Pediatric Magnetic Resonance Images.
    
  
    Proceedings of the Low Field Pediatric Brain Magnetic Resonance Image Segmentation and Quality Assurance, 2024
    
  
    Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
    
  
  2023
    Proceedings of the Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation, 2023
    
  
  2022
Application of the 'Surgical GPS' to posterior spinal fusion procedures for scoliosis correction.
    
  
    Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022
    
  
  2021
Generation of Patient-Specific, Ligamentoskeletal, Finite Element Meshes for Scoliosis Correction Planning.
    
  
    Proceedings of the Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning, 2021
    
  
    Proceedings of the Annual Modeling and Simulation Conference, 2021
    
  
  2020
    Proceedings of the Spring Simulation Conference, 2020
    
  
  2018
Towards a Deformable Multi-surface Approach to Ligamentous Spine Models for Predictive Simulation-Based Scoliosis Surgery Planning.
    
  
    Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2018