Jongduk Baek

发表

Multidimensional noise reduction in C-arm cone-beam CT via 2D-based Landweber iteration and 3D-based deep neural networks

Andreas Maier, Dahim Choi, Juhee Kim, 2019, Medical Imaging.

A New Method to Measure Directional Modulation Transfer Function Using Sphere Phantoms in a Cone Beam Computed Tomography System

Jongduk Baek, Changwoo Lee, J. Baek, 2015, IEEE Transactions on Medical Imaging.

Investigation on location-dependent detectability of a small mass for digital breast tomosynthesis evaluation

Jongduk Baek, Subok Park, Changwoo Lee, 2016, SPIE Medical Imaging.

A Comparative Study on Interpolation Methods in Rebinning Circular Fan-Beam Data into Parallel-Beam Data

Jongduk Baek, Sunsik Ryu, 2014, 2014 IEEE 27th International Symposium on Computer-Based Medical Systems.

Multi-source inverse geometry CT(MS-IGCT) system: A new concept of 3D CT imaging

Jongduk Baek, Shinkook Choi, 2013, IVMSP 2013.

3D motion artifact compenstation in CT image with depth camera

Jongduk Baek, Hyunjung Shim, Youngjun Ko, 2015, Electronic Imaging.

A Sphere Phantom Approach to Measure Directional Modulation Transfer Functions for Tomosynthesis Imaging Systems

Jongduk Baek, Changwoo Lee, 2016, IEEE Transactions on Medical Imaging.

Feasibility study of deep convolutional generative adversarial networks to generate mammography images

Jongduk Baek, Hyunjung Shim, Gihun Kim, 2018, Medical Imaging.

A new reconstruction method to improve SNR for an inverse geometry CT system

Jongduk Baek, Norbert J. Pelc, 2008, SPIE Medical Imaging.

A metal artifact reduction method for small field of view CT imaging

Jongduk Baek, Seunghyuk Moon, Seungwon Choi, 2019, bioRxiv.

A performance comparison of convolutional neural network based anthropomorphic model observer and linear model observer for signal-known statistically detection tasks

Byeongjoon Kim, Jongduk Baek, Minah Han, 2020, Medical Imaging.

Implementation of an anthropomorphic model observer using convolutional neural network for breast tomosynthesis images

Jongduk Baek, Changwoo Lee, 2020, Medical Imaging.

Noise reduction method in low-dose CT data combining neural networks and an iterative reconstruction technique

Juhee Kim, Dahim Choi, Seung-Hoon Chae, 2019, Other Conferences.

Performance comparison of convolutional neural network based denoising in low dose CT images for various loss functions

Byeongjoon Kim, Jongduk Baek, Hyunjung Shim, 2019, Medical Imaging.

Reconstruction aspects and noise properties in inverse geometry and volumetric CT

Jongduk Baek, 2009 .

Effect of anatomical backgrounds on detectability in volumetric cone beam CT images

Jongduk Baek, Subok Park, Minah Han, 2016, SPIE Medical Imaging.

Frequency-combined extended 3D reconstruction for multiple circular cone-beam CT scans

Jongduk Baek, Marc Kachelriess, Rainer Grimmer, 2011, 2011 IEEE Nuclear Science Symposium Conference Record.

Lesion detection performance of cone beam CT images with anatomical background noise: single-slice vs. multi-slice human and model observer study

Jongduk Baek, Minah Han, Hanjoo Jang, 2018, Medical Imaging.

A new method to reduce cone beam artifacts by optimal combination of FDK and TV-IR images

Jongduk Baek, Shinkook Choi, 2018, Medical Imaging.

Convolutional neural network-based anthropomorphic model observer for breast cone-beam CT images

Byeongjoon Kim, Jongduk Baek, Minah Han, 2020, Medical Imaging.

Implementation of an ideal observer model using convolutional neural network for breast CT images

Jongduk Baek, Hyunjung Shim, Minah Han, 2019, Medical Imaging.

Prototype System Integration

Jongduk Baek, Norbert J. Pelc, Daniel David Harrison, 2010 .

Investigation on slice direction dependent denoising performance of convolutional neural network in cone-beam CT images

Byeongjoon Kim, Jongduk Baek, Eunhyeok Lee, 2019, Medical Imaging.

Investigation on lesion detectability in step-and-shoot mode and continuous mode digital tomosynthesis systems with anatomical background

Jongduk Baek, Changwoo Lee, 2019, Medical Imaging.

Dual energy approach for cone beam artifacts correction

Jongduk Baek, Chulhee Han, Shinkook Choi, 2017, Medical Imaging.

A deeper convolutional neural network for denoising low-dose CT images

Byeongjoon Kim, Jongduk Baek, Hyunjung Shim, 2018, Medical Imaging.