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
| # | Authors | Title |
|---|---|---|
| 1 | Seoyoung Lee, Subong Hyun, Donghyun Kim and Seungryong Cho | Model observer analysis for suggestion of angular range in digital breast tomosynthesis based on patient breast type |
| 5 | Jimin Lee, Sangwook Kim, Jungye Kim, Bitbyeol Kim and Seongmoon Jung | Deep Learning-based Conversion of Single Energy CT to Parametric Maps of Dual-layer Spectral CT |
| 11 | Samarth Bhardwaj | Super resolution of lung CT scans degraded by motion blur using Wiener deconvolution |
| 39 | Jungmok Lee, Juhyeong Ki, Wonjin Lee, Bitbyeol Kim, Seongmoon Jung and Jimin Lee | Deep Learning-based Metal Artifact Reduction in Cone-Beam CT for Head and Neck Cancer Patients |
| 44 | Jaehong Hwang, Hyeongseok Kim, Taewon Lee, Da-in Choi, Taejin Kwon, Yejin Kim and Seungryong Cho | Effective phantom design for an accurate geometry calibration in an offset-detector-based cone-beam CT system |
| 63 | Minjun Kim, Beomjun Kim, Jiye Kim, Hwihun Jeong, Juhyung Park, Hyungjin Kim, Se Young Chun and Jongho Lee | Deep neural network for cardiomegaly classification on AP-view X-ray |
| 64 | Yingdong Chen, Mazen Soufi, Keisuke Uemura, Yoshito Otake, Masaki Takao, Shinnichi Iwakoshi, Toshihiro Tanaka, Nobuhiko Sugano and Yoshinobu Sato | 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, Joon Beom Kim and Okkyun Lee | A Preclinical Study of Projection-based Metal Artifact Reduction Methods Using a Tabletop Photon-counting CT System |
| 81 | Pragyan Shrestha, Xie Chun, Hidehiko Shishido, Yuichi Yoshii and Itaru Kitahara | X-Ray to CT Registration Using Scene Coordinate Regression Network |
IFMIA Oral II : Image Seg./Proc.
Chairs : Se Young Chun, Mashiro Oda
| # | Authors | Title |
|---|---|---|
| 3 | Jihoon Cho and Jinah Park | Multimodal Medical Image Segmentation via Hybrid-Fusion Approach |
| 7 | Kyuri Kim, Yoonho Na, Junghyun Roh, Jimin Lee, Sung-Joon Ye and Hwiyoung Kim | Brain Tumor MR Image Inpainting based on Generative Adversarial Networks |
| 22 | Ryoichi Koga, Mauricio Kugler, Tatsuya Yokota, Kouichi Ohshima, Hiroaki Miyoshi, Miharu Nagaishi, Noriaki Hashimoto, Ichiro Takeuchi and Hidekata Hontani | Generation of Counterfactual Images to Construct Criteria for Quantitatively Evaluating Subtypes in Malignant Lymphoma |
| 37 | Jong-Min Kim, Han-Jae Chung, Joseph Nathanael Witanto, Kevin Pratama, Khwaja Monib Sediqi, Seung-Min Ham and Sang Joon Park | Image Harmonization in CT for Medical Digital Twin |
| 45 | Sakura Miyamoto, Xiangrong Zhou, Takeshi Hara, Naoki Kamiya, Hiroki Kato and Hiroshi Fujita | Automatic Segmentation of Superficial Skeletal Muscles by 2D U-Net Using Simultaneous Learning of Bones by Virtual Unfolded CT Images |
| 46 | Masahiro Kawamoto, Xiangrong Zhou, Takeshi Hara, Naoki Kamiya, Hiroki Kato and Hiroshi Fujita | Skeletal Muscle Segmentation in L3 Cross Section by 2D U-Net using Simultaneous Learning of Skeletal Muscles in Body CT Images |
| 48 | Sirui Chen, Hirohisa Oda, Qin An, Yuichiro Hayashi, Takayuki Kitasaka, Aitaro Takimoto, Akinari Hinoki, Hiroo Uchida, Kojiro Suzuki, Masahiro Oda and Kensaku Mori | Connection preserving intestine segmentation method for intestinal obstruction cases |
| 65 | Yuto Masaki, Yoshito Otake, Mazen Soufi, Keisuke Uemura, Masaki Takao, Takuma Miyamoto, Yasuhito Tanaka, Nobuhiko Sugano and Yoshinobu Sato | Integration of multiple individually labeled CT databases for whole-leg musculoskeletal segmentation using bone bounding box detection from digitally reconstructed radiographs |
| 77 | Jinseo An, Min Jin Lee, Jumin Lee, Kyu Won Shim and Helen Hong | MSDA-Net: Multi-Scale Dual-Attention Network for Orbital Bone Segmentation in Facial CT Images |
IFMIA Oral III : MRI
Chairs : Won-Ki Jeong, Yoshito Otake
| # | Authors | Title |
|---|---|---|
| 2 | Juhyung Park, Hongjun An, Minjun Kim and Jongho Lee | Coil to Coil: Self-supervised denoising using phased-array coil images |
| 6 | Yoonho Na, Kyuri Kim, Hwiyoung Kim, Sung-Joon Ye and Jimin Lee | Generative Adversarial Network for missing brain tumor MRIs |
| 66 | Ganping LI, Yoshito Otake, Mazen Soufi, Masashi Tanig Uchi, Masahide Yagi, Noriaki Ichihashi, Keisuke Uemura, Masaki Takao, Nobuhiko Sugano and Yoshinobu Sato | Evaluation of Bayesian active learning strategies with different acquisition methods and model capacities in musculoskeletal segmentation from MRI |
| 78 | Julip Jung, Sung Il Hwang and Helen Hong | Prostate cancer aggressiveness prediction model based on deep convolutional neural network using test time augmentation in multi-parametric MRI |
IFMIA Poster I
| # | Authors | Title |
|---|---|---|
| 4 | Seongyeon Lee, In Soo Kang, Min Kyu Baek, Yoon Soo Chung, Hankyeol Song and Young Hyun Chung | Development of pulse reconstruction method to improve the timing resolution in AGPET |
| 8 | Yuta Sadamatsu, Seiichi Murakami, Li Guangxu and Tohru Kamiya | Denoising of LDCT Image Using Deep CNN with Attention Module |
| 10 | Yeon Kyoung Choi, Seoyoung Lee, Hyeongseok Kim, Joonil Hwang and Seungryong Cho | Automatic Teeth Segmentation of Panoramic Dental Radiographs |
| 12 | Taewon Lee | Image enhancement for Weight bearing CT by Dual sensitivity Detector |
| 13 | Gihyeon Kim, Sehwa Moon and Jang-Hwan Choi | Removing Representation Bias by Multi-modal Data Integration for Predicting Lung Cancer Recurrence |
| 14 | Hyo-Bin Lee and Jang-Hwan Choi | 3D-Analysis for the Quantification of Weight-Bearing Knee Cartilage Deformation : A Comparison with Pseudo-Contact Area |
| 15 | Kyung-Seok Choi, Chanho Kim, Semin Kim and Jung-Yeol Yeom | Gamma-Ultrasound Signal Separation Method Using Deep Learning Architecture |
| 16 | Sae Byeol Mun, Young Jae Kim, Hee Kyung Yang, Jeong Min Hwang and Kwang Gi Kim | Development of AI medical diagnostic software for Strabismus diagnosis in digital images |
| 19 | Gi Pyo Lee, Young Jae Kim and Kwang Gi Kim | Comparison and verification of RGB channel superposition methods in appendicitis and diverticulitis classification using in EfficientNet |
| 20 | Taejin Kwon, Sungho Youn, Taewon Lee and Seungryong Cho | A comparative study of deep learning network performance by domain for noise reduction in dental cone beam CT (CBCT) system |
| 24 | Minji Park, Seong-Hyeon Kang and Youngjin Lee | The phantom study on optimization of block-matching & 3D filtering algorithm in magnetic resonance image of water phantom |
| 25 | Sewon Lim, Seong-Hyeon Kang, Minji Park, Dohwa Lee, Hajin Kim and Youngjin Lee | Image quality evaluation of denoising filters to improve CT image segmentation performance |
| 26 | Hajin Kim, Seong-Hyeon Kang, Minji Park, Dohwa Lee, Sewon Lim and Youngjin Lee | Optimization of window size for median modified Wiener filter in high-pitch-based low-dose CT image |
| 27 | M. Sato, M. Okamoto, C. Tsuchida, Z. Hayama and Y. Kondo | 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 and Jongduk Baek | Multi plane metal artifacts reduction in CT with convolutional neural network |
| 30 | Seongjun Kim and Jongduk Baek | Sparsier2Sparse: Self-supervised learning for streak artifacts reduction with unpaired sparse-view CT data using convolutional neural network |
| 36 | Dongwon Park | Domain adaptation from posteroanterior to anteroposterior X-ray radiograph classification via deep neural converter with label recycling |
| 38 | Minjae Lee, Hunwoo Lee, Hyosung Cho and Bo Kyung Cha | Design of prehospital spectral CT with rotation-free rectangular gantry and deep learning reconstruction |
| 40 | Juhyeong Ki, Jungmok Lee, Wonjin Lee, Bitbyeol Kim, Seongmoon Jung and Jimin Lee | Metal Artifact Reduction for Planning CT in Radiation Treatment using Convolutional Neural Network |
| 41 | Hunwoo Lee, Minjae Lee, Hyosung Cho and Bo Kyung Cha | Shift-variant blurring effects due to actual focal spot in radiography |
DAY 3, JAN 11
IFMIA Oral IV : Image Detection/Classification/Analysis
Chairs : Jang-Hwan Choi, Hidekata Hontani
| # | Authors | Title |
|---|---|---|
| 9 | Heeryung Lim, Gihyeon Kim and Jang-Hwan Choi | Temporal-progressive patterning network for diabetes early prediction |
| 17 | Sohyeon Lee, Youngjae Kim and Kwanggi Kim | Tumor detection in laryngoscope using deep learning method |
| 18 | Wonkyeong Lee and Jang-Hwan Choi | Self-supervised perceptual no-reference image quality assessment for CT image |
| 23 | Shingo Koide | Construction of Classifier for malignant lymphoma nuclei using label propagation |
| 28 | Yang Ai, Yinhao Li and Yen-Wei Chen | A Teacher-student Learning Approach Using Gene and CT Image for Recurrence Prediction of Non-small Cell Lung Cancer |
| 42 | Hiroki Tobise, Mauricio Kugler, Tatsuya Yokota, Masahiro Hashimoto, Yoshito Otake, Toshiaki Akashi, Akinobu Shimizu and Hidekata Hontani | Anomaly Detection for Chest CT Images using Normalizing Flow |
| 52 | Terumasa Kondo, Atsushi Teramoto, Eiichi Watanabe and Yoshihiro Sobue | Multimodal Learning of ECG Images and Patient Information for Predicting Short-Term Prognosis of CCU Patients |
| 61 | Riku Eto, Momoka Takamiya, Yoko Kurabuchi, Shinsuke Akita, Nobuyuki Mitsukawa, Takayuki Okamoto and Hideaki Haneishi | Hemodynamic Analysis of Congestive and Ischemic Skin Flap of Rat |
| 80 | Shau-Yu Yan and Chung-Ming Lo | Multiple Organ Classification based on Deep Learning and Isolated Annotation |
IFMIA Oral V : Other Imaging Modalities
Chairs : Jimin Lee, Yoshiki Kawata
| # | Authors | Title |
|---|---|---|
| 32 | Hiromu Tanaka, Mauricio Kugler, Tatsuya Yokota, Kouichi Ohshima, Hiroaki Miyoshi, Miharu Nagaishi, Noriaki Hashimoto, Ichiro Takeuchi and Hidekata Hontani | Graph neural network for identification of malignant lymphoma subtypes and class activation visualization of cell tissue anomality |
| 49 | Yunheng Wu, Yuichiro Hayashi, Masahiro Oda, Shuntaro kawamura, Takanori Takebe and Kensaku Mori | Quality Improvement for Low-magnification Optical Stereomicroscope Images in Mice’s Cerebral Cortex Imaging |
| 50 | Jing Wei Tan, Kyoungbun Lee and Won-Ki Jeong | Weakly-supervised Contrastive Learning and Hidden Class Detection for Intrahepatic Cholangiocarcinoma Subtype Classification in Whole Slide Images |
| 55 | Gakuto Hirano, Hiroji Takai, Atsushi Teramoto, Yutaka Sasaki, Sadayoshi Watanabe, Keiko Sugimoto, Shoji Matsumoto, Kuniaki Saito and Hiroshi Fujita | Comparison of Semantic Segmentation Methods for Automatic Extraction of Carotid Plaque in Ultrasound Images |
| 60 | Toyohiro Maki | Stain Conversion from H&E to BRAF by using StyleGAN |
| 70 | Kanta Miura, Koichi Ito, Takafumi Aoki and Jun Ohmiya | Accuracy Improvement of Ultrasound Probe Pose Estimation Using Convolutional Neural Network by Image Reconstruction Loss for 3D Ultrasound Image Reconstruction |
| 71 | Tsubasa Konno, Takahiro Ninomiya, Kanta Miura, Koichi Ito, Noriko Himori, Sharma Parmanand, Toru Nakazawa and Takafumi Aoki | Segmentation of Retina Layers Using Convolutional Neural Network from Optical Coherence Tomography Images |
| 82 | Tzu-Chieh Wang, Ruey-Feng Chang and Hsian-He, Hsu | Automated Breast Architectural Distortion Detection Using Ultrasound Images |
IFMIA Poster II
| # | Authors | Title |
|---|---|---|
| 43 | Kibok Nam, Dahye Lee and Seungwan Lee | Development of a multi-agent reinforcement learning network for denoising digital tomosynthesis image |
| 47 | Koki Sakai, Chisako Muramatsu, Yuta Seino, Ryo Takahashi, Tatsuro Hayashi, Wataru Nishiyama, Xiangrong Zhou, Takeshi Hara, Akitoshi Katsumata and Hiroshi Fujita | Recognition of tooth types and conditions in dental panoramic radiographs using YOLO. |
| 51 | Geonhui Jo, Minhee Jang, Sun-Young Jeon and Jang-Hwan Choi | Hybrid Deep Learning Network for Noise Reduction in Low-Dose X-Ray Fluoroscopy |
| 53 | Supanuch Patipipittana, Atsushi Teramoto, Kuniaki Saito and Hiroshi Fujita | Tube removal method in chest X-ray images using cycleGAN |
| 54 | Yuta Suganuma, Atsushi Teramoto, Kuniaki Saito, Hiroshi Fujita, Yuuki Suzuki, Noriyuki Tomiyama and Shouji Kido | Hybrid Approach of Multi-Organ Segmentation Using PET/CT Images |
| 56 | Kanggeun Lee and Wok-Ki Jeong | ISCL: Interdependent Self-Cooperative Learning for Unpaired Image Denoising |
| 57 | Seungjun Lee, Taiin Eom and Okkyun Lee | Functional near-infrared spectroscopy-based motor imagery classification using a subspace-based method |
| 58 | Y. Kawata, Y. Matsumoto, T. Tsuchida, K. Aokage, G. Ishii, M. Kusumoto and N. Niki | A human-in-the-loop workflow for thoracic lymph nodes annotation using contrast-enhanced CT images |
| 59 | Soohyun Lee, Minjae Lee and Hyosung Cho | Feasibility study of metal artifact reduction based on Compressed Sensing for Photon counting CT |
| 62 | Jonghyeok Lee, Hyunwoo Lim, Hunwoo Lee and Hyosung Cho | Low density foreign body detection in small animal with single grid based dark-field x-ray imaging |
| 67 | Joon Beom KIM, Jeonghyeon Nam and Okkyun Lee | 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, Kihwan Kim and Okkyun Lee | Diffuse optical tomography-based motor imagery classification for the fNIRS-based BCI |
| 69 | Mazen Soufi, Yoshito Otake, Makoto Iwasa, Keisuke Uemura, Masaki Takao, Nobuhiko Sugano and Yoshinobu Sato | 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，Ayano Michiba，Yuka Kiriyama, Eiko Sakurai, Tetsuya Tsukamoto, Kazuyoshi Imaizumi, Kuniaki SAITO and Hiroshi Fujita | Improved Classification Scheme of Idiopathic Interstitial Pneumonias in Histopathological Images Using Generative Adversarial Networks |
| 73 | Takumi Aihara, Takuji Iwashita, Xiangrong Zhou and Takeshi Hara | Automatic Histopathological Patch Image Classification System for Histopathological Diagnosis Using Multi-Resolution Images |
| 74 | Kazumasa Yoshii, Shintaro Sukegawa, Takeshi Hara, Katsusuke Yamashita, Keisuke Nakano, Kiyofumi Takabatake, Hotaka Kawai, Hitoshi Nagatsuka, Yoshihiko Furuki | Synthetic data generation for automatic implant classification method in dental panoramic X-ray images |
| 76 | Sumin Baek, Dong Hye Ye and Okkyun Lee | Deep learning-based Multi-Organ Segmentation without contrast enhancement using Photon Counting CT |
| 79 | Hye Ryun Kim, Gahee Ahn, Bong-Seog Kim and Helen Hong | 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 and Helen Hong | Self-supervised Learning for Kidney Segmentation in Abdominal CT Images |
| 84 | Jae Won Seo, Young Jae Kim and Kwang Gi Kim | A deep-learning-based breast mass detection algorithm using dual-view mammography |
| 85 | Juhui Lee, Young Jae Kim, Seon Tae Kim and Kwang Gi Kim | Multi-class paranasal sinuses segmentation using 3D-Unet |