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Technical Committee on Medical Imaging (MI) (Searched in: 2022)
Search Results: Keywords 'from:2023-03-06 to:2023-03-06'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2023-03-06 09:05 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Accuracy improvement of emsemble learning based dementia classification for brain SPECT volumes Naoki Matsumoto (TUAT), Makoto Fukasawa, Tomomichi Iizuka (Fukujuji Hosp.), Akinobu Shimizu (TUAT)  MI2022-72 |
(To be available after the conference date) [more] | MI2022-72 pp.1-2 |
| MI | 2023-03-06 09:18 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
FUSE-2, Aided Diagnosis Method for Dementia using Cross-Modality Translation with Alignment by Deep Learning Kodai Yamashita, Souta Okabe, Hiroyuki Kudo (Univ. of Tsukuba) MI2022-73 |
The diagnosis of cognitive impairment can be performed using functional imaging techniques such as PET and SPECT, which ... [more] | MI2022-73 pp.3-4 |
| MI | 2023-03-06 09:31 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Recognition of tooth types and conditions in dental panoramic radiographs with object detection and prior knowledge Koki Sakai (Gifu Univ.), Chisako Muramatsu (Shiga Univ.), Yuta Seino (Gifu Univ.), Ryo Takahashi, Tatsuro Hayashi (Media Co., Ltd), Wataru Nishiyama (Asahi Univ.), Xiangrong Zhou, Takeshi Hara (Gifu Univ.), Akitoshi Katsumata (Asahi Univ.), Hiroshi Fujita (Gifu Univ.) MI2022-74 |
(To be available after the conference date) [more] | MI2022-74 pp.5-7 |
| MI | 2023-03-06 09:44 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Machine learning models using CT images and clinical variable to classify tumors in testicular cancer Shota Nakagawa, Masanobu Gido (University of Tsukuba), Satoshi Nitta (University of Tsukuba Hospital), Takahiro Kojima (Aichi Cancer Center Hospital), Hideki Kakeya (University of Tsukuba) MI2022-75 |
This paper presents machine learning methods to classify tumors in testicular cancer. The model combines CT images and c... [more] | MI2022-75 pp.8-13 |
| MI | 2023-03-06 09:57 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Multi-label multi-class estimation of pathology in high-resolution chest CT images using SRGAN Tetsuya Asakawa, Riku Tsuneda, Yuki Sugimoto (TUT), Kazuki Shimizu, Takuyuki Komoda (THC), Masaki Aono (TUT) MI2022-76 |
The purpose of this research, three pathologies (thickening, calcification, and cavitation) were accurately estimated as... [more] | MI2022-76 pp.14-19 |
| MI | 2023-03-06 10:10 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Radiogenomic signature based on CT images to predict HOPX gene expression and prognoses of patients with non-small cell lung cancer
-- Prognoses and prediction of HOPX expression for NSCLC based on CT image -- Yu Jin, Hidetaka Arimura, YunHao Cui, Takumi Kodama, Shinichi Mizuno (Kyushu Univ.), Satoshi Ansai (Kyoto Univ.) MI2022-77 |
The homeodomain-only protein homeobox, HOPX, has recently been discovered that associated with the prognoses of non-smal... [more] | MI2022-77 pp.20-23 |
| MI | 2023-03-06 10:23 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Computer-aided diagnosis of chest CT images for COVID-19 with lesion enhancement Yusuke Takateyama (TUAT), Masahiro Hashimoto (Keio Univ.), Yoshito Otake (NAIST), Toshiaki Akashi (Juntendo Univ.), Akinobu Shimizu (TUAT) MI2022-78 |
(To be available after the conference date) [more] | MI2022-78 pp.24-25 |
| MI | 2023-03-06 10:45 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Report on MICCAI 2022 Hayato Itoh, Masahiro Oda, Chen Shen, Cheng Wang (Nagoya Univ.), Kanta Miura (Tohoku Univ.), Junya Sato (Osaka Univ.), Yoshito Otake (NAIST), Ryoma Bise (Kyushu Univ.), Ryo Furukawa (Kindai Univ.), Hidekata Hontani (NITech), Yoshitaka Masutani (Tohoku Univ.), Kensaku Mori (Nagoya Univ.) MI2022-79 |
In this paper, we overview the outlines of MICCAI 2022’s main conference sessions and satellite workshops. Several inter... [more] | MI2022-79 pp.26-37 |
| MI | 2023-03-06 13:15 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Improvement of Small Organ Accuracy in Multi-Organ Segmentation of Abdominal CT Images Using 2.5D Deformable Convolutional CNN Yuya Okumura, Hiroyuki Kudo, Hotaka Takizawa (Univ of Tsukuba) MI2022-80 |
In multi-organ segmentation of abdominal CT images using deep learning, small organs such as the pancreas are difficult ... [more] | MI2022-80 pp.38-39 |
| MI | 2023-03-06 13:28 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Segmentation of Infected Regions from Chest CT Scans of COVID-19 Cases using Average Template Kai Liu, Masahiro Oda, Tong Zheng, Yuichiro Hayashi (Nagoya Univ.), Yoshito Otake (NAIST), Masahiro Hashimoto (Keio Univ.), Toshiaki Akashi, Shigeki Aoki (Juntendo Univ.), Kensaku Mori (Nagoya Univ.) MI2022-81 |
[more] | MI2022-81 pp.40-45 |
| MI | 2023-03-06 13:41 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Comparative study of the Small Intestine segmentation based on 2D and 3D U-Nets Qin An (Nagoya Univ.), Hirohisa Oda (UoS), SiRui Chen, Yuichiro Hayashi (Nagoya Univ.), Takayuki Kitasaka (Aichi Institute Univ), Aitaro Takimoto, Akinari Hinoki, Hiroo Uchida (Nagoya Univ.), Kojiro Suzuki (Aichi Medical Univ.), Masahiro Oda, Kensaku Mori (Nagoya Univ.) MI2022-82 |
In this paper, we aim to compare and analyze the small intestine segmentation methods based on U-Net and 3D U-Net. Segme... [more] | MI2022-82 pp.46-51 |
| MI | 2023-03-06 13:54 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Prediction of missing tooth shape from dental 3D scan data for automated dental treatment planning Ryota Nakatani (NAIST), Yuto Masaki (NAIST/PSP), Yoshito Otake (NAIST), Tomoko Ikawa, Yuko Shigeta, Takuya Kihara, Shuji Shigemoto, Takumi Ogawa (Tsurumi Univ.), Mazen Soufi, Yoshinobu Sato (NAIST) MI2022-83 |
Although dental CAD/CAM systems have contributed to dental treatment, it is difficult for current systems to design toot... [more] | MI2022-83 pp.52-56 |
| MI | 2023-03-06 14:07 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Application of statistical shape modeling of whole lower limbs in the prediction of musculoskeletal shapes Yuto Masaki, Yoshito Otake, Mazen Soufi, Yi Gu (NAIST), Keisuke Uemura (Osaka Univ), Masaki Takao (Ehime Univ.), Takuma Miyamoto, Yasuhito Tanaka (Nara Medical Univ), Seiji Okada, Nobuhiko Sugano (Osaka Univ), Yoshinobu Sato (NAIST) MI2022-84 |
Musculoskeletal modeling of the whole lower limbs that reflects patient-specific anatomical features is important in bio... [more] | MI2022-84 pp.57-62 |
| MI | 2023-03-06 14:20 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
A study on estimation of blood vessel regions from laparoscopic videos using preoperative image information Keigo Enomoto, Yuichiro Hayashi (Nagoya Univ.), Takayuki Kitasaka (Aichi Institute of Tech.), Masahiro Oda (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center Hospital), Kensaku Mori (Nagoya Univ./NII) MI2022-85 |
This paper describes an automatic estimation method of blood vessel regions from laparoscopic videos using preoperative ... [more] | MI2022-85 pp.63-68 |
| MI | 2023-03-06 14:33 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Automated Musculoskeletal Foot Segmentation in CT Images for Patient-Specific Functional Foot Analysis Mazen Soufi, Yoshito Otake, Naoki Ito (NAIST), Yuto Masaki (NAIST/PSP), Tomoki Hakotani (NAIST), Takuma Miyamoto, Yasuhito Tanaka (Nara Med. Univ.), Masahiro Hashimoto, Yoshitake Yamada, Minoru Yamada, Yoichi Yokoyama, Masahiro Jinzaki (Keio Univ.), Keisuke Uemura (Osaka Univ.), Masaki Takao (Ehime Univ.), Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) MI2022-86 |
[more] | MI2022-86 pp.69-74 |
| MI | 2023-03-06 14:55 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
MI2022-87 |
(To be available after the conference date) [more] | MI2022-87 pp.75-77 |
| MI | 2023-03-06 15:08 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
MI2022-88 |
[more] | MI2022-88 pp.78-79 |
| MI | 2023-03-06 15:21 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
MI2022-89 |
(To be available after the conference date) [more] | MI2022-89 pp.80-81 |
| MI | 2023-03-06 15:34 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Reproducing method of cancer annotation by local features in pathological images Shunya Mutsuda (KIT), Sohsuke Yamada (Kanazawa Medical Univ.), Toshiki Kindo (KIT) MI2022-90 |
In recent years, AI-based pathological image diagnosis technology has been actively researched. Therefore, in this study... [more] | MI2022-90 pp.82-87 |
| MI | 2023-03-06 15:47 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Predicting disease from Chest-X-ray and Heart-CT images using Fine Tuning Yuya Kumagai, Hiroki Shinoda, Tetsuya Asakawa (TUT), Kazuki Shimizu, Takuyuki Komoda (THC), Masaki Aono (TUT) MI2022-91 |
[more] | MI2022-91 pp.88-93 |
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