IFMIA Papers by Sessions

List of IFMIA papers by Sessions

DAY-2, JAN 10 : Oral1, Oral2, Oral3, Poster1

DAY-3, JAN 11 :Oral4, Oral5, Poster2

DAY 2, JAN 10

IFMIA Oral I – X-ray/CT
Chairs : OkKyun Lee, Takeshi Hara

#AuthorsTitle
1Seoyoung Lee, Subong Hyun, Donghyun Kim and Seungryong ChoModel observer analysis for suggestion of angular range in digital breast tomosynthesis based on patient breast type
5Jimin Lee, Sangwook Kim, Jungye Kim, Bitbyeol Kim and Seongmoon JungDeep Learning-based Conversion of Single Energy CT to Parametric Maps of Dual-layer Spectral CT
11Samarth BhardwajSuper resolution of lung CT scans degraded by motion blur using Wiener deconvolution
39Jungmok Lee, Juhyeong Ki, Wonjin Lee, Bitbyeol Kim, Seongmoon Jung and Jimin LeeDeep Learning-based Metal Artifact Reduction in Cone-Beam CT for Head and Neck Cancer Patients
44Jaehong Hwang, Hyeongseok Kim, Taewon Lee, Da-in Choi, Taejin Kwon, Yejin Kim and Seungryong ChoEffective phantom design for an accurate geometry calibration in an offset-detector-based cone-beam CT system
63Minjun Kim, Beomjun Kim, Jiye Kim, Hwihun Jeong, Juhyung Park, Hyungjin Kim, Se Young Chun and Jongho LeeDeep neural network for cardiomegaly classification on AP-view X-ray
64Yingdong Chen, Mazen Soufi, Keisuke Uemura, Yoshito Otake, Masaki Takao, Shinnichi Iwakoshi, Toshihiro Tanaka, Nobuhiko Sugano and Yoshinobu SatoAutomated assessment of deep vessel- and nerve-to-pelvis distances in non-contrast-enhanced CT images for surgical planning of total hip arthroplasty
75Jeonghyeon Nam, Joon Beom Kim and Okkyun LeeA Preclinical Study of Projection-based Metal Artifact Reduction Methods Using a Tabletop Photon-counting CT System
81Pragyan Shrestha, Xie Chun, Hidehiko Shishido, Yuichi Yoshii and Itaru KitaharaX-Ray to CT Registration Using Scene Coordinate Regression Network

Go to list

IFMIA Oral II : Image Seg./Proc.
Chairs : Se Young Chun, Mashiro Oda

#AuthorsTitle
3Jihoon Cho and Jinah ParkMultimodal Medical Image Segmentation via Hybrid-Fusion Approach
7Kyuri Kim, Yoonho Na, Junghyun Roh, Jimin Lee, Sung-Joon Ye and Hwiyoung KimBrain Tumor MR Image Inpainting based on Generative Adversarial Networks
22Ryoichi Koga, Mauricio Kugler, Tatsuya Yokota, Kouichi Ohshima, Hiroaki Miyoshi, Miharu Nagaishi, Noriaki Hashimoto, Ichiro Takeuchi and Hidekata HontaniGeneration of Counterfactual Images to Construct Criteria for Quantitatively Evaluating Subtypes in Malignant Lymphoma
37Jong-Min Kim, Han-Jae Chung, Joseph Nathanael Witanto, Kevin Pratama, Khwaja Monib Sediqi, Seung-Min Ham and Sang Joon ParkImage Harmonization in CT for Medical Digital Twin
45Sakura Miyamoto, Xiangrong Zhou, Takeshi Hara, Naoki Kamiya, Hiroki Kato and Hiroshi FujitaAutomatic Segmentation of Superficial Skeletal Muscles by 2D U-Net Using Simultaneous Learning of Bones by Virtual Unfolded CT Images
46Masahiro Kawamoto, Xiangrong Zhou, Takeshi Hara, Naoki Kamiya, Hiroki Kato and Hiroshi FujitaSkeletal Muscle Segmentation in L3 Cross Section by 2D U-Net using Simultaneous Learning of Skeletal Muscles in Body CT Images
48Sirui Chen, Hirohisa Oda, Qin An, Yuichiro Hayashi, Takayuki Kitasaka, Aitaro Takimoto, Akinari Hinoki, Hiroo Uchida, Kojiro Suzuki, Masahiro Oda and Kensaku MoriConnection preserving intestine segmentation method for intestinal obstruction cases
65Yuto Masaki, Yoshito Otake, Mazen Soufi, Keisuke Uemura, Masaki Takao, Takuma Miyamoto, Yasuhito Tanaka, Nobuhiko Sugano and Yoshinobu SatoIntegration of multiple individually labeled CT databases for whole-leg musculoskeletal segmentation using bone bounding box detection from digitally reconstructed radiographs
77Jinseo An, Min Jin Lee, Jumin Lee, Kyu Won Shim and Helen HongMSDA-Net: Multi-Scale Dual-Attention Network for Orbital Bone Segmentation in Facial CT Images

Go to list

IFMIA Oral III : MRI
Chairs : Won-Ki Jeong, Yoshito Otake

#AuthorsTitle
2Juhyung Park, Hongjun An, Minjun Kim and Jongho LeeCoil to Coil: Self-supervised denoising using phased-array coil images
6Yoonho Na, Kyuri Kim, Hwiyoung Kim, Sung-Joon Ye and Jimin LeeGenerative Adversarial Network for missing brain tumor MRIs
66Ganping LI, Yoshito Otake, Mazen Soufi, Masashi Tanig Uchi, Masahide Yagi, Noriaki Ichihashi, Keisuke Uemura, Masaki Takao, Nobuhiko Sugano and Yoshinobu SatoEvaluation of Bayesian active learning strategies with different acquisition methods and model capacities in musculoskeletal segmentation from MRI
78Julip Jung, Sung Il Hwang and Helen HongProstate cancer aggressiveness prediction model based on deep convolutional neural network using test time augmentation in multi-parametric MRI

Go to list

IFMIA Poster I

#AuthorsTitle
4Seongyeon Lee, In Soo Kang, Min Kyu Baek, Yoon Soo Chung, Hankyeol Song and Young Hyun ChungDevelopment of pulse reconstruction method to improve the timing resolution in AGPET
8Yuta Sadamatsu, Seiichi Murakami, Li Guangxu and Tohru KamiyaDenoising of LDCT Image Using Deep CNN with Attention Module
10Yeon Kyoung Choi, Seoyoung Lee, Hyeongseok Kim, Joonil Hwang and Seungryong ChoAutomatic Teeth Segmentation of Panoramic Dental Radiographs
12Taewon LeeImage enhancement for Weight bearing CT by Dual sensitivity Detector
13Gihyeon Kim, Sehwa Moon and Jang-Hwan ChoiRemoving Representation Bias by Multi-modal Data Integration for Predicting Lung Cancer Recurrence
14Hyo-Bin Lee and Jang-Hwan Choi3D-Analysis for the Quantification of Weight-Bearing Knee Cartilage Deformation : A Comparison with Pseudo-Contact Area
15Kyung-Seok Choi, Chanho Kim, Semin Kim and Jung-Yeol YeomGamma-Ultrasound Signal Separation Method Using Deep Learning Architecture
16Sae Byeol Mun, Young Jae Kim, Hee Kyung Yang, Jeong Min Hwang and Kwang Gi KimDevelopment of AI medical diagnostic software for Strabismus diagnosis in digital images
19Gi Pyo Lee, Young Jae Kim and Kwang Gi KimComparison and verification of RGB channel superposition methods in appendicitis and diverticulitis classification using in EfficientNet
20Taejin Kwon, Sungho Youn, Taewon Lee and Seungryong ChoA comparative study of deep learning network performance by domain for noise reduction in dental cone beam CT (CBCT) system
24Minji Park, Seong-Hyeon Kang and Youngjin LeeThe phantom study on optimization of block-matching & 3D filtering algorithm in magnetic resonance image of water phantom
25Sewon Lim, Seong-Hyeon Kang, Minji Park, Dohwa Lee, Hajin Kim and Youngjin LeeImage quality evaluation of denoising filters to improve CT image segmentation performance
26Hajin Kim, Seong-Hyeon Kang, Minji Park, Dohwa Lee, Sewon Lim and Youngjin LeeOptimization of window size for median modified Wiener filter in high-pitch-based low-dose CT image
27M. Sato, M. Okamoto, C. Tsuchida, Z. Hayama and Y. KondoDevelopment of a contactless operation system for a console of potable radiography system using a motion sensor for COVID-19 infection control
29Junhyun Ahn and Jongduk BaekMulti plane metal artifacts reduction in CT with convolutional neural network
30Seongjun Kim and Jongduk BaekSparsier2Sparse: Self-supervised learning for streak artifacts reduction with unpaired sparse-view CT data using convolutional neural network
36Dongwon ParkDomain adaptation from posteroanterior to anteroposterior X-ray radiograph classification via deep neural converter with label recycling
38Minjae Lee, Hunwoo Lee, Hyosung Cho and Bo Kyung ChaDesign of prehospital spectral CT with rotation-free rectangular gantry and deep learning reconstruction
40Juhyeong Ki, Jungmok Lee, Wonjin Lee, Bitbyeol Kim, Seongmoon Jung and Jimin LeeMetal Artifact Reduction for Planning CT in Radiation Treatment using Convolutional Neural Network
41Hunwoo Lee, Minjae Lee, Hyosung Cho and Bo Kyung ChaShift-variant blurring effects due to actual focal spot in radiography

Go to list

DAY 3, JAN 11

IFMIA Oral IV : Image Detection/Classification/Analysis
Chairs : Jang-Hwan Choi, Hidekata Hontani

#AuthorsTitle
9Heeryung Lim, Gihyeon Kim and Jang-Hwan ChoiTemporal-progressive patterning network for diabetes early prediction
17Sohyeon Lee, Youngjae Kim and Kwanggi KimTumor detection in laryngoscope using deep learning method
18Wonkyeong Lee and Jang-Hwan ChoiSelf-supervised perceptual no-reference image quality assessment for CT image
23Shingo KoideConstruction of Classifier for malignant lymphoma nuclei using label propagation
28Yang Ai, Yinhao Li and Yen-Wei ChenA Teacher-student Learning Approach Using Gene and CT Image for Recurrence Prediction of Non-small Cell Lung Cancer
42Hiroki Tobise, Mauricio Kugler, Tatsuya Yokota, Masahiro Hashimoto, Yoshito Otake, Toshiaki Akashi, Akinobu Shimizu and Hidekata HontaniAnomaly Detection for Chest CT Images using Normalizing Flow
52Terumasa Kondo, Atsushi Teramoto, Eiichi Watanabe and Yoshihiro SobueMultimodal Learning of ECG Images and Patient Information for Predicting Short-Term Prognosis of CCU Patients
61Riku Eto, Momoka Takamiya, Yoko Kurabuchi, Shinsuke Akita, Nobuyuki Mitsukawa, Takayuki Okamoto and Hideaki HaneishiHemodynamic Analysis of Congestive and Ischemic Skin Flap of Rat
80Shau-Yu Yan and Chung-Ming LoMultiple Organ Classification based on Deep Learning and Isolated Annotation

Go to list

IFMIA Oral V : Other Imaging Modalities
Chairs : Jimin Lee, Yoshiki Kawata

#AuthorsTitle
32Hiromu Tanaka, Mauricio Kugler, Tatsuya Yokota, Kouichi Ohshima, Hiroaki Miyoshi, Miharu Nagaishi, Noriaki Hashimoto, Ichiro Takeuchi and Hidekata HontaniGraph neural network for identification of malignant lymphoma subtypes and class activation visualization of cell tissue anomality
49Yunheng Wu, Yuichiro Hayashi, Masahiro Oda, Shuntaro kawamura, Takanori Takebe and Kensaku MoriQuality Improvement for Low-magnification Optical Stereomicroscope Images in Mice’s Cerebral Cortex Imaging
50Jing Wei Tan, Kyoungbun Lee and Won-Ki JeongWeakly-supervised Contrastive Learning and Hidden Class Detection for Intrahepatic Cholangiocarcinoma Subtype Classification in Whole Slide Images
55Gakuto Hirano, Hiroji Takai, Atsushi Teramoto, Yutaka Sasaki, Sadayoshi Watanabe, Keiko Sugimoto, Shoji Matsumoto, Kuniaki Saito and Hiroshi FujitaComparison of Semantic Segmentation Methods for Automatic Extraction of Carotid Plaque in Ultrasound Images
60Toyohiro MakiStain Conversion from H&E to BRAF by using StyleGAN
70Kanta Miura, Koichi Ito, Takafumi Aoki and Jun OhmiyaAccuracy Improvement of Ultrasound Probe Pose Estimation Using Convolutional Neural Network by Image Reconstruction Loss for 3D Ultrasound Image Reconstruction
71Tsubasa Konno, Takahiro Ninomiya, Kanta Miura, Koichi Ito, Noriko Himori, Sharma Parmanand, Toru Nakazawa and Takafumi AokiSegmentation of Retina Layers Using Convolutional Neural Network from Optical Coherence Tomography Images
82Tzu-Chieh Wang, Ruey-Feng Chang and Hsian-He, HsuAutomated Breast Architectural Distortion Detection Using Ultrasound Images

Go to list

IFMIA Poster II

#AuthorsTitle
43Kibok Nam, Dahye Lee and Seungwan LeeDevelopment of a multi-agent reinforcement learning network for denoising digital tomosynthesis image
47Koki Sakai, Chisako Muramatsu, Yuta Seino, Ryo Takahashi, Tatsuro Hayashi, Wataru Nishiyama, Xiangrong Zhou, Takeshi Hara, Akitoshi Katsumata and Hiroshi FujitaRecognition of tooth types and conditions in dental panoramic radiographs using YOLO.
51Geonhui Jo, Minhee Jang, Sun-Young Jeon and Jang-Hwan ChoiHybrid Deep Learning Network for Noise Reduction in Low-Dose X-Ray Fluoroscopy
53Supanuch Patipipittana, Atsushi Teramoto, Kuniaki Saito and Hiroshi FujitaTube removal method in chest X-ray images using cycleGAN
54Yuta Suganuma, Atsushi Teramoto, Kuniaki Saito, Hiroshi Fujita, Yuuki Suzuki, Noriyuki Tomiyama and Shouji KidoHybrid Approach of Multi-Organ Segmentation Using PET/CT Images
56Kanggeun Lee and Wok-Ki JeongISCL: Interdependent Self-Cooperative Learning for Unpaired Image Denoising
57Seungjun Lee, Taiin Eom and Okkyun LeeFunctional near-infrared spectroscopy-based motor imagery classification using a subspace-based method
58Y. Kawata, Y. Matsumoto, T. Tsuchida, K. Aokage, G. Ishii, M. Kusumoto and N. NikiA human-in-the-loop workflow for thoracic lymph nodes annotation using contrast-enhanced CT images
59Soohyun Lee, Minjae Lee and Hyosung ChoFeasibility study of metal artifact reduction based on Compressed Sensing for Photon counting CT
62Jonghyeok Lee, Hyunwoo Lim, Hunwoo Lee and Hyosung ChoLow density foreign body detection in small animal with single grid based dark-field x-ray imaging
67Joon Beom KIM, Jeonghyeon Nam and Okkyun LeeEvaluation of projection- and image-based material decomposition methods for quantitative analysis of CaHA using a table-top photon-counting CT system
68Taiin Eom, Kihwan Kim and Okkyun LeeDiffuse optical tomography-based motor imagery classification for the fNIRS-based BCI
69Mazen Soufi, Yoshito Otake, Makoto Iwasa, Keisuke Uemura, Masaki Takao, Nobuhiko Sugano and Yoshinobu SatoValidation of an automated musculoskeletal segmentation model for lower limb muscle assessment in a large-scale database of clinical CT images of hip osteoarthritis patients
72Atsushi Teramoto,Ayano Michiba,Yuka Kiriyama, Eiko Sakurai, Tetsuya Tsukamoto, Kazuyoshi Imaizumi, Kuniaki SAITO and Hiroshi FujitaImproved Classification Scheme of Idiopathic Interstitial Pneumonias in Histopathological Images Using Generative Adversarial Networks
73Takumi Aihara, Takuji Iwashita, Xiangrong Zhou and Takeshi HaraAutomatic Histopathological Patch Image Classification System for Histopathological Diagnosis Using Multi-Resolution Images
74Kazumasa Yoshii, Shintaro Sukegawa, Takeshi Hara, Katsusuke Yamashita, Keisuke Nakano, Kiyofumi Takabatake, Hotaka Kawai, Hitoshi Nagatsuka, Yoshihiko FurukiSynthetic data generation for automatic implant classification method in dental panoramic X-ray images
76Sumin Baek, Dong Hye Ye and Okkyun LeeDeep learning-based Multi-Organ Segmentation without contrast enhancement using Photon Counting CT
79Hye Ryun Kim, Gahee Ahn, Bong-Seog Kim and Helen HongAI-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
83Hyeonjin Kim and Helen HongSelf-supervised Learning for Kidney Segmentation in Abdominal CT Images
84Jae Won Seo, Young Jae Kim and Kwang Gi KimA deep-learning-based breast mass detection algorithm using dual-view mammography
85Juhui Lee, Young Jae Kim, Seon Tae Kim and Kwang Gi KimMulti-class paranasal sinuses segmentation using 3D-Unet

Go to list