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ORCIDCharles R. Hatt
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2020 – today
- 2023
[c15]Sudeep Katakol, Zhangxing Bian
, Yanglong Lu, Greg Spahlinger, Charles R. Hatt, Nicholas S. Burris:
Fully automated aortic measurements via CNN-based joint segmentation and localization. Computer-Aided Diagnosis 2023- [c14]Sarah M. Muller, Sundaresh Ram, Katie J. Bayfield, Julia H. Reuter, Sonja Gestewitz, Lifeng Yu, Mark Oliver Wielpütz, Hans-Ulrich Kauczor, Claus Peter Heussel, Terry E. Robinson, Brian J. Bartholmai, Charles R. Hatt, Paul D. Robinson, Craig J. Galbán, Oliver Weinheimer:
Deep Learning-Based Air Trapping Quantification Using Paired Inspiratory-Expiratory Ultra-low Dose CT. MICCAI (3) 2023: 432-441 - 2022
- [c13]Zhangxing Bian, Jiayang Zhong, Yanglong Lu, Chuck R. Hatt, Nicholas S. Burris:
LitCall: learning implicit topology for CNN-based aortic landmark localization. Image Processing 2022 - 2021
- [c12]Jiayang Zhong, Zhangxing Bian, Charles R. Hatt, Nicholas S. Burris:
Segmentation of the thoracic aorta using an attention-gated U-Net. Computer-Aided Diagnosis 2021 - [c11]Zhangxing Bian, Jiayang Zhong, Charles R. Hatt, Nicholas S. Burris:
A deformable image registration based method to assess directionality of thoracic aortic aneurysm growth. Image Processing 2021 - [i1]Sundaresh Ram, Wenfei Tang, Alexander J. Bell, Cara Spencer, Alexander Buschhaus, Charles R. Hatt, Marina Pasca diMagliano, Jeffrey J. Rodríguez, Stefanie Galban, Craig J. Galbán:
Lung Cancer Lesion Detection in Histopathology Images Using Graph-Based Sparse PCA Network. CoRR abs/2110.14728 (2021) - 2020
- [c10]Sundaresh Ram, Stephen M. Humphries, David A. Lynch, Craig J. Galbán, Charles R. Hatt:
Lung Lobe Segmentation With Automated Quality Assurance Using Deep Convolutional Neural Networks. ISBI Workshops 2020: 1-4
2010 – 2019
- 2019
- [c9]Charles R. Hatt, Sundaresh Ram, Craig J. Galbán:
A Convolutional Neural Network Approach to Automated Lung Bounding Box Estimation from Computed Tomography Scans. DSW 2019: 213-216 - 2018
- [c8]Charles R. Hatt, Craig J. Galbán, Wassim Labaki, Ella A. Kazerooni, David Lynch, Meilan Han:
Convolutional Neural Network Based COPD and Emphysema Classifications Are Predictive of Lung Cancer Diagnosis. RAMBO+BIA+TIA@MICCAI 2018: 302-309 - 2016
- [j3]Charles R. Hatt, Michael A. Speidel, Amish N. Raval:
Real-time pose estimation of devices from x-ray images: Application to x-ray/echo registration for cardiac interventions. Medical Image Anal. 34: 101-108 (2016) - [c7]Charles R. Hatt, Martin G. Wagner, Amish N. Raval, Michael A. Speidel:
Dynamic tracking of prosthetic valve motion and deformation from bi-plane x-ray views: feasibility study. Image-Guided Procedures 2016: 978604 - 2015
- [j2]Charles R. Hatt, Gary Ng, Vijay Parthasarathy:
Enhanced needle localization in ultrasound using beam steering and learning-based segmentation. Comput. Medical Imaging Graph. 41: 46-54 (2015) - [c6]Charles R. Hatt, Michael A. Speidel, Amish N. Raval:
Robust 5DOF Transesophageal Echo Probe Tracking at Fluoroscopic Frame Rates. MICCAI (1) 2015: 290-297 - [c5]Charles R. Hatt, Michael A. Speidel, Amish N. Raval:
Hough Forests for Real-Time, Automatic Device Localization in Fluoroscopic Images: Application to TAVR. MICCAI (1) 2015: 307-314 - 2014
- [c4]Charles R. Hatt, Michael A. Speidel, Amish N. Raval:
Efficient feature-based 2D/3D registration of transesophageal echocardiography to x-ray fluoroscopy for cardiac interventions. Image-Guided Procedures 2014: 90361J - 2013
- [j1]Charles R. Hatt, Ameet K. Jain, Vijay Parthasarathy, Andrew Lang, Amish Raval:
MRI - 3D ultrasound - X-ray image fusion with electromagnetic tracking for transendocardial therapeutic injections: In-vitro validation and in-vivo feasibility. Comput. Medical Imaging Graph. 37(2): 162-173 (2013) - 2012
- [c3]Won Hwa Kim, Deepti Pachauri, Charles R. Hatt, Moo K. Chung, Sterling C. Johnson, Vikas Singh:
Wavelet based multi-scale shape features on arbitrary surfaces for cortical thickness discrimination. NIPS 2012: 1250-1258 - 2011
- [c2]Charles R. Hatt, Douglas Stanton, Vijay Parthasarathy, Ameet K. Jain, Amish N. Raval:
A method for measuring the accuracy of multi-modal image fusion system for catheter-based cardiac interventions using a novel motion enabled targeting phantom. EMBC 2011: 6260-6264 - [c1]Vijay Parthasarathy, Charles R. Hatt, Zoran Stankovic, Amish Raval, Ameet K. Jain:
Real-Time 3D Ultrasound Guided Interventional System for Cardiac Stem Cell Therapy with Motion Compensation. MICCAI (1) 2011: 283-290
Coauthor Index
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