J. Jeong

发表

A deep learning framework for supporting the classification of breast lesions in ultrasound images

Seokmin Han, Hokyung Kang, J. Jeong, 2017, Physics in medicine and biology.

Estimation of probability distribution on multiple anatomical objects and evaluation of statistical shape models

Stephen M. Pizer, Ja-Yeon Jeong, S. Pizer, 2009 .

Goodness of Prediction for Principal Components of Shape A Correlation Measure

Stephen M. Pizer, Keith E. Muller, Ja-Yeon Jeong, 2008 .

A prospective comparison between auto-registration and manual registration of real-time ultrasound with MR images for percutaneous ablation or biopsy of hepatic lesions

J. Jeong, Won-Chul Bang, Kyunga Kim, 2017, Abdominal Radiology.

Automatic image fusion of real-time ultrasound with computed tomography images: a prospective comparison between two auto-registration methods

J. Jeong, Won-Chul Bang, Kyunga Kim, 2017, Acta radiologica.

Local Residual Statistics for Segmentations Using Deformable Shape Model

Rohit R. Saboo, S. Pizer, E. Chaney, 2008 .

A Coarse-to-fine Shape Prior for Probabilistic Segmentations Using

Rohit R. Saboo, S. Pizer, E. Chaney, 2008 .

Refined Segmentation in Statistical Multiscale Framework

Robert E. Broadhurst, Rohit R. Saboo, S. Pizer, 2007 .

Weakly supervised segmentation on neural compressed histopathology with self-equivariant regularization

Sang Hyun Park, J. Jeong, P. Chikontwe, 2022, Medical Image Anal..

Comparison Between CT and MR Images as More Favorable Reference Data Sets for Fusion Imaging-Guided Radiofrequency Ablation or Biopsy of Hepatic Lesions: A Prospective Study with Focus on Patient’s Respiration

J. Jeong, Won-Chul Bang, Kyunga Kim, 2017, CardioVascular and Interventional Radiology.

Automatic Registration between Real-Time Ultrasonography and Pre-Procedural Magnetic Resonance Images: A Prospective Comparison between Two Registration Methods by Liver Surface and Vessel and by Liver Surface Only.

Won-Chul Bang, Ja-Yeon Jeong, Kyunga Kim, 2016, Ultrasound in medicine & biology.

Multi-Object Analysis of Volume, Pose, and Shape Using Statistical Discrimination

Martin Styner, Guido Gerig, J. S. Marron, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Statistical Multi-Object Shape Models

Conglin Lu, Stephen M. Pizer, Sarang C. Joshi, 2007, International Journal of Computer Vision.

Statistical Shape Analysis of Multi-Object Complexes

Martin Styner, Guido Gerig, J. S. Marron, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Discrimination analysis using multi-object statistics of shape and pose

Martin Styner, Guido Gerig, J. S. Marron, 2007, SPIE Medical Imaging.

Estimating the Statistics of Multi-object Anatomic Geometry Using Inter-object Relationships

Conglin Lu, Stephen M. Pizer, Sarang C. Joshi, 2005, DSSCV.

A deep learning framework for supporting the classification of breast lesions in ultrasound images

Seokmin Han, Hokyung Kang, J. Jeong, 2017, Physics in medicine and biology.

Multi-Object Analysis of Volume, Pose, and Shape Using Statistical Discrimination

J. Marron, J. Piven, S. Pizer, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.