• Jan 10 ~ 11,  2023    -  DAYS

IFMIA 2023 Best Presentation Awards     Download File


Congratulations!

Best Oral Presentation Awards

P-ID-01: “Model observer analysis for suggestion of angular range in digital breast tomosynthesis based on patient breast type”, Seoyoung Lee, Subong Hyun, Donghyun Kim and Seungryong Cho
P-ID-81: “X-Ray to CT Registration Using Scene Coordinate Regression NetworkPragyan”, Shrestha, Xie Chun, Hidehiko Shishido, Yuichi Yoshii and Itaru Kitahara
P-ID-07: “Brain Tumor MR Image Inpainting based on Generative Adversarial Networks”, Kyuri Kim, Yoonho Na, Junghyun Roh, Jimin Lee, Sung-Joon Ye and Hwiyoung Kim
P-ID-48: “Connection preserving intestine segmentation method for intestinal obstruction cases”, Sirui Chen, Hirohisa Oda, Qin An, Yuichiro Hayashi, Takayuki Kitasaka, Aitaro Takimoto, Akinari Hinoki, Hiroo Uchida, Kojiro Suzuki, Masahiro Oda and Kensaku Mori
P-ID-02: “Coil to Coil: Self-supervised denoising using phased-array coil images”, Juhyung Park, Hongjun An, Minjun Kim and Jongho Lee
P-ID-18: “Self-supervised perceptual no-reference image quality assessment for CT image”, Wonkyeong Lee and Jang-Hwan Choi
P-ID-42: “Anomaly Detection for Chest CT Images using Normalizing Flow”, Hiroki Tobise, Mauricio Kugler, Tatsuya Yokota, Masahiro Hashimoto, Yoshito Otake, Toshiaki Akashi, Akinobu Shimizu and Hidekata Hontani
P-ID-50: “Weakly-supervised Contrastive Learning and Hidden Class Detection for Intrahepatic Cholangiocarcinoma Subtype Classification in Whole Slide Images”, Jing Wei Tan, Kyoungbun Lee and Won-Ki Jeong
P-ID-70: “Accuracy Improvement of Ultrasound Probe Pose Estimation Using Convolutional Neural Network by Image Reconstruction Loss for 3D Ultrasound Image Reconstruction”, Kanta Miura, Koichi Ito, Takafumi Aoki and Jun Ohmiya

Best Poster Presentation Awards
P-ID-10: “Automatic Teeth Segmentation of Panoramic Dental Radiographs”, Yeon Kyoung Choi, Seoyoung Lee, Hyeongseok Kim, Joonil Hwang and Seungryong Cho
P-ID-30: “Sparsier2Sparse: Self-supervised learning for streak artifacts reduction with unpaired sparse-view CT data using convolutional neural network”, Seongjun Kim and Jongduk Baek
P-ID-57: “Functional near-infrared spectroscopy-based motor imagery classification using a subspace-based method”, Seungjun Lee, Taiin Eom and Okkyun Lee
P-ID-69: “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”, Mazen Soufi, Yoshito Otake, Makoto Iwasa, Keisuke Uemura, Masaki Takao, Nobuhiko Sugano and Yoshinobu Sato
P-ID-72: “Improved Classification Scheme of Idiopathic Interstitial Pneumonias in Histopathological Images Using Generative Adversarial Networks”, Atsushi Teramoto, Ayano Michiba, Yuka Kiriyama, Eiko Sakurai, Tetsuya Tsukamoto, Kazuyoshi Imaizumi, Kuniaki Saito, and Hiroshi Fujita
P-ID-84: “A deep Learning-based breast mass detection algorithm using dual-view mammography”, Jae Won Seo, Young Jae Kim and Kwang Gi Kim


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