Program        Conference program

Conference Program

Time Tuesday, 10th January 2023 - IWAIT-IFMIA Joint
9:00 - 9:20
IWAIT/IFMIA Opening Ceremony
Welcoming Speech by General Chair
Speech & Official Opening of IWAIT/IFMIA2023 by Guest of Honor
9:20 - 10:00 IWAIT/IFMIA Keynote 2
Title: Food Computing for Human and Planet Health
Speaker: Prof. Yoko Yamakata / University of Tokyo, Japan
Chair: Byeungwoo Jeon
10:00 - 10:40 IWAIT/IFMIA Keynote 3
Title: How would ‘AI’ put an elephant into a fridge?
Speaker: Prof. Jinah Park / KAIST, Korea
Chair: Seungryong Cho
10:40 - 11:00 Coffee Break
11:00 - 12:30 IFMIA Oral I
(9 talks)
Chair: OkKyun Lee, Takeshi Hara
Paper#: 1,5, 11, 39, 44, 63, 64, 75, 81
Paper# Author Presenter Institution Title
1 Seoyoung Lee Korea Advanced Institute of Science and Technology Model observer analysis for suggestion of angular range in digital breast tomosynthesis based on patient breast type
5 Jimin Lee Ulsan National Institute of Science and Technology Deep Learning-based Conversion of Single Energy CT to Parametric Maps of Dual-layer Spectral CT
11 Samarth Bhardwaj Tokyo University of Agriculture and Technology Super resolution of lung CT scans degraded by motion blur using Wiener deconvolution
39 JungMok Lee Ulsan National Institute of Science and Technology Deep Learning-based Metal Artifact Reduction in Cone-Beam CT for Head and Neck Cancer Patients
44 Jaehong Hwang Korea Advanced Institute of Science and Technology Effective phantom design for an accurate geometry calibration in an offset-detector-based cone-beam CT system
63 Minjun Kim Seoul National University Deep neural network for cardiomegaly classification on AP-view X-ray
64 Yingdong Chen Nara Institute of Science and Technology Automated assessment of deep vessel- and nerve-to-pelvis distances in non-contrast-enhanced CT images for surgical planning of total hip arthroplasty
75 Jeonghyeon Nam Daegu Gyeongbuk Institute of Science and Technology A Preclinical Study of Projection-based Metal Artifact Reduction Methods Using a Tabletop Photon-counting CT System
81 Pragyan Shrestha University of Tsukuba X-Ray to CT Registration Using Scene Coordinate Regression Network
12:30 - 14:00 Lunch Break
14:00-15:30 IFMIA Oral II
(9 talks)
Image Seg./Proc.
Chair: Se Young Chun, Mashiro Oda
Paper#: 3, 7, 22, 37, 45, 46, 48, 65, 77
Paper# Author Presenter Institution Title
3 Jihoon Cho Korea Advanced Institute of Science and Technology Multimodal Medical Image Segmentation via Hybrid-Fusion Approach
7 Kyuri Kim Seoul National University Brain Tumor MR Image Inpainting based on Generative Adversarial Networks
22 Ryoichi Koga Nagoya Institute of Technology Generation of Counterfactual Images to Construct Criteria for Quantitatively Evaluating Subtypes in Malignant Lymphoma
37 Jong-Min Kim Medical IP Co. Image Harmonization in CT for Medical Digital Twin
45 Sakura Miyamoto Aichi Prefectural University Automatic Segmentation of Superficial Skeletal Muscles by 2D U-Net Using Simultaneous Learning of Bones by Virtual Unfolded CT Images
46 Masahiro Kawamoto Aichi Prefectural University Skeletal Muscle Segmentation in L3 Cross Section by 2D U-Net using Simultaneous Learning of Skeletal Muscles in Body CT Images
48 Sirui Chen Nagoya University Connection preserving intestine segmentation method for intestinal obstruction cases
65 Yuto Masaki Nara Institute of Science and Technology Integration of multiple individually labeled CT databases for whole-leg musculoskeletal segmentation using bone bounding box detection from digitally reconstructed radiographs
77 Jinseo An Seoul Women's University MSDA-Net: Multi-Scale Dual-Attention Network for Orbital Bone Segmentation in Facial CT Images
15:30 - 16:10
(40 min)
IFMIA Oral III (4 talks)
Chair: Won-Ki Jeong, Yoshito Otake
Paper#: 2, 6, 66, 78
Paper# Author Presenter Institution Title
2 Juhyung Park Seoul National University Coil to Coil: Self-supervised denoising using phased-array coil images
6 Yoonho Na Seoul National University Generative Adversarial Network for missing brain tumor MRIs
66 Ganping Li Nara Institute of Science and Technology Evaluation of Bayesian active learning strategies with different acquisition methods and model capacities in musculoskeletal segmentation from MRI
78 Julip Jung Seoul Women's University Prostate cancer aggressiveness prediction model based on deep convolutional neural network using test time augmentation in multi-parametric MRI
16:10 - 16:30 Coffee Break
16:30 - 17:00 IFMIA Poster I
Paper#: 4, 8, 10, 12, 13, 14, 15, 16, 19, 20
24, 25, 26, 27, 29, 30, 36, 38, 40, 41
Paper# Author Presenter Institution Title
4 Seongyeon Lee Yonsei University Development of pulse reconstruction method to improve the timing resolution in AGPET
8 Yuta Sadamatsu Kyushu Institute of Technology Denoising of LDCT Image Using Deep CNN with Attention Module
10 Yeon Kyoung Choi Korea Advanced Institute of Science and Technology Automatic Teeth Segmentation of Panoramic Dental Radiographs
12 Taewon Lee Korea Advanced Institute of Science and Technology Image enhancement for Weight bearing CT by Dual sensitivity Detector
13 Gihyeon Kim Ewha Womans University Removing Representation Bias by Multi-modal Data Integration for Predicting Lung Cancer Recurrence
14 Hyo-Bin Lee Ewha Womans University 3D-Analysis for the Quantification of Weight-Bearing Knee Cartilage Deformation : A Comparison with Pseudo-Contact Area
15 Kyung-Seok Choi Korea University Gamma-Ultrasound Signal Separation Method Using Deep Learning Architecture
16 SaeByeol Mun Gachon University Gil Medical Center Development of AI medical diagnostic software for Strabismus diagnosis in digital images
19 Gi Pyo Lee Gachon University Comparison and verification of RGB channel superposition methods in appendicitis and diverticulitis classification using in EfficientNet
20 Taejin Kwon Korea Advanced Institute of Science and Technology A comparative study of deep learning network performance by domain for noise reduction in dental cone beam CT (CBCT) system
24 Minji Park Gachon University The phantom study on optimization of block-matching & 3D filtering algorithm in magnetic resonance image of water phantom
25 Sewon Lim Gachon University Image quality evaluation of denoising filters to improve CT image segmentation performance
26 Hajin Kim Gachon University Optimization of window size for median modified Wiener filter in high-pitch-based low-dose CT image
27 Mitsuru Sato Niigata University Development of a contactless operation system for a console of potable radiography system using a motion sensor for COVID-19 infection control
29 Junhyun Ahn Yonsei University Multi plane metal artifacts reduction in CT with convolutional neural network
30 Seongjun Kim Yonsei University Sparsier2Sparse: Self-supervised learning for streak artifacts reduction with unpaired sparse-view CT data using convolutional neural network
36 Dongwon Park Ulsan National Institute of Science and Technology Domain adaptation from posteroanterior to anteroposterior X-ray radiograph classification via deep neural converter with label recycling
38 Minjae Lee Yonsei University Design of prehospital spectral CT with rotation-free rectangular gantry and deep learning reconstruction
40 Juhyeong Ki Ulsan National Institute of Science and Technology Metal Artifact Reduction for Planning CT in Radiation Treatment using Convolutional Neural Network
41 Hunwoo Lee Yonsei University Shift-variant blurring effects due to actual focal spot in radiography
17:00 - 17:20
17:20 - 19:20 IIWAIT & IFMIA Banquet

Time Wensday, 11th January 2023 - IFMIA
9:00 - 9:40 IFMIA Invited 1
Title: PET tracing of microplastic distribution
Speaker: Dr. Jin Su Kim (KIRAMS, Korea)
Chair: KwangGi Kim
9:40 - 10:20 IFMIA Invited 2
Title: Toward the Construction of Quantitative Evaluation Criteria for the Diagnosis of Malignant Lymphoma
Speaker: Prof. Hidekata Hontani (Nagoya Institute of Technology, Japan)
Chair: KwangGi Kim
10:20 - 10:40 Coffee Break
10: 40- 12:10 IFMIA Oral IV
(9 talks)
Image Detction/Classification/Analysis
Chair: Jang-Hwan Choi, Hidekata Hontani
Paper#: 9, 17, 18, 23, 28, 42, 52, 61, 80
Paper# Author Presenter Institution Title
9 Heeryung Lim Ewha Womans University Temporal-progressive patterning network for diabetes early prediction
17 Sohyeon Lee Gachon University Gil Medical Center Tumor detection in laryngoscope using deep learning method
18 Wonkyeong Lee Ewha Womans University Self-supervised perceptual no-reference image quality assessment for CT image
23 Shingo Koide Nagoya Institute of Technology Construction of Classifier for malignant lymphoma nuclei using label propagation
28 Yang Ai Ritsumeikan University A Teacher-student Learning Approach Using Gene and CT Image for Recurrence Prediction of Non-small Cell Lung Cancer
42 Hiroki Tobise Nagoya Institute of Technology Anomaly Detection for Chest CT Images using Normalizing Flow
52 Terumasa Kondo Fujita Health University Multimodal Learning of ECG Images and Patient Information for Predicting Short-Term Prognosis of CCU Patients
61 Riku Eto Chiba University Hemodynamic Analysis of Congestive and Ischemic Skin Flap of Rat
80 Shau-Yu Yan National Chengchi University Multiple Organ Classification based on Deep Learning and Isolated Annotation
12:10 - 13:40 Lunch Break
13:40 - 15:10 IFMIA Oral V
(8 talks)
Other Imaging Modalities
Chair: Jimin Lee, Yoshiki Kawata
Paper#: 32, 49, 50, 55, 60, 70, 71, 82
Paper# Author Presenter Institution Title
32 Hiromu Tanaka Nagoya Institute of Technology Graph neural network for identification of malignant lymphoma subtypes and class activation visualization of cell tissue anomality
49 Yunheng Wu Nagoya University Quality Improvement for Low-magnification Optical Microscopic Image in Mouse Cerebral Cortex Imaging
50 Jing Wei Tan Korea University Weakly-supervised Contrastive Learning and Hidden Class Detection for Intrahepatic Cholangiocarcinoma Subtype Classification in Whole Slide Images
55 Gakuto Hirano Fujita Health University Comparison of Semantic Segmentation Methods for Automatic Extraction of Carotid Plaque in Ultrasound Images
60 Toyohiro Maki Nagoya Institute of Technology Stain Conversion from H&E to BRAF by using StyleGAN
70 Kanta Miura Tohoku University Accuracy Improvement of Ultrasound Probe Pose Estimation Using Convolutional Neural Network by Image Reconstruction Loss for 3D Ultrasound Image Reconstruction
71 Tsubasa Konno Tohoku University Segmentation of Retina Layers Using Convolutional Neural Network from Optical Coherence Tomography Images
82 Weng Tzuchieh National Taiwan Normal University Automated Breast Architectural Distortion Detection Using Ultrasound Images
15:10 - 15:30 Coffee Break
15:30 - 16:20 IFMIA Poster II
Paper#: 43, 47, 51, 53, 54, 56, 57, 58, 59, 62
67, 68, 69, 72, 73, 74, 76, 79, 83, 84, 85
Paper# Author Presenter Institution Title
43 KiBok Nam Konyang University Development of a multi-agent reinforcement learning network for denoising digital tomosynthesis image
47 Koki Sakai Gifu University Recognition of tooth types and conditions in dental panoramic radiographs using YOLO.
51 Geonhui Jo Ewha Womans University Hybrid Deep Learning Network for Noise Reduction in Low-Dose X-Ray Fluoroscopy
53 Supanuch Patipipittana Fujita Health University Tube removal method in chest X-ray images using cycleGAN
54 Yuta Suganuma Fujita Health University Hybrid Approach of Multi-Organ Segmentation Using PET/CT Images
56 Kanggeun Lee Korea University ISCL: Interdependent Self-Cooperative Learning for Unpaired Image Denoising
57 Seungjun Lee Daegu Gyeongbuk Institute of Science and Technology Functional near-infrared spectroscopy-based motor imagery classification using a subspace-based method
58 Yoshiki Kawata Tokushima University A human-in-the-loop workflow for thoracic lymph nodes annotation using contrast-enhanced CT images
59 Soohyun Lee Yonsei University Feasibility study of metal artifact reduction based on Compressed Sensing for Photon counting CT
62 Jonghyeok Lee Yonsei University Low density foreign body detection in small animal with single grid based dark-field x-ray imaging
67 Joonbeom Kim Daegu Gyeongbuk Institute of Science and Technology Evaluation of projection- and image-based material decomposition methods for quantitative analysis of CaHA using a table-top photon-counting CT system
68 Taiin Eom Daegu Gyeongbuk Institute of Science and Technology Diffuse optical tomography-based motor imagery classification for the fNIRS-based BCI
69 Mazen Soufi Nara Institute of Science and Technology Validation of an automated musculoskeletal segmentation model for lower limb muscle assessment in a large-scale database of clinical CT images of hip osteoarthritis patients
72 Atsushi Teramoto Fujita Health University Improved Classification Scheme of Idiopathic Interstitial Pneumonias in Histopathological Images Using Generative Adversarial Networks
73 Takumi Aihara Gifu University Automatic Histopathological Patch Image Classification System for Histopathological Diagnosis Using Multi-Resolution Images
74 Kazumasa Yoshii Gifu University Synthetic data generation for automatic implant classification method in dental panoramic X-ray images
76 Sumin Baek Daegu Gyeongbuk Institute of Science and Technology Deep learning-based Multi-Organ Segmentation without contrast enhancement using Photon Counting CT
79 Hye-Ryun Kim Seoul Women's University AI-based predictive model with sequential channel and spatial attentions for two-year recurrence-free survival of non-small cell lung cancer(NSCLC) patients from preoperative CT Images
83 Hyeonjin Kim Seoul Women's University Self-supervised Learning for Kidney Segmentation in Abdominal CT Images
84 Jae Won Seo Gachon University A deep-learning-based breast mass detection algorithm using dual-view mammography
85 Juhui Lee Gachon University Multi-class paranasal sinuses segmentation using 3D-Unet
16:30 - 17:00 IFMIA2023 Closing Ceremony
IFMIA Board Representative Closing Remark