Issue 11/2021
IJCARS - JAMIT 2019-2020 Special Issue (Pages: 1853 – 1956); Regular Articles (Pages: 1957 – 2066)
Content (21 Articles)
Automated segmentation of an intensity calibration phantom in clinical CT images using a convolutional neural network
Keisuke Uemura, Yoshito Otake, Masaki Takao, Mazen Soufi, Akihiro Kawasaki, Nobuhiko Sugano, Yoshinobu Sato
Prediction of an oxygen extraction fraction map by convolutional neural network: validation of input data among MR and PET images
Keisuke Matsubara, Masanobu Ibaraki, Yuki Shinohara, Noriyuki Takahashi, Hideto Toyoshima, Toshibumi Kinoshita
Classification of large-scale image database of various skin diseases using deep learning
Masaya Tanaka, Atsushi Saito, Kosuke Shido, Yasuhiro Fujisawa, Kenshi Yamasaki, Manabu Fujimoto, Kohei Murao, Youichirou Ninomiya, Shin’ichi Satoh, Akinobu Shimizu
Ring artifact removal for differential phase-contrast X-ray computed tomography using a conditional generative adversarial network
Zhuoran Huang, Naoki Sunaguchi, Daisuke Shimao, Atsushi Enomoto, Shu Ichihara, Tetsuya Yuasa, Masami Ando
Preliminary study of generalized semiautomatic segmentation for 3D voxel labeling of lesions based on deep learning
Yukihiro Nomura, Shouhei Hanaoka, Tomomi Takenaga, Takahiro Nakao, Hisaichi Shibata, Soichiro Miki, Takeharu Yoshikawa, Takeyuki Watadani, Naoto Hayashi, Osamu Abe
Usefulness of X-ray dark-field imaging in the evaluation of local recurrence after nipple-sparing mastectomy
Naoki Sunaguchi, Daisuke Shimao, Rieko Nishimura, Akari Iwakoshi, Tetsuya Yuasa, Masami Ando, Shu Ichihara
Semi-supervised CycleGAN for domain transformation of chest CT images and its application to opacity classification of diffuse lung diseases
Shingo Mabu, Masashi Miyake, Takashi Kuremoto, Shoji Kido
Prior ensemble learning
Nanako Kubota, Yufu Kasahara, Ken Harada, Koji Fujimoto, Tomohisa Okada, Masato Inoue
Development of three-dimensional integral-type reconstruction formula for magnetic resonance elastography
Tasuku Takeda, Hiroshi Fujiwara, Mikio Suga
Good and bad boundaries in ultrasound compounding: preserving anatomic boundaries while suppressing artifacts
Alex Ling Yu Hung, John Galeotti
Evaluation of ultrasonic fibrosis diagnostic system using convolutional network for ordinal regression
Ryosuke Saito, Norihiro Koizumi, Yu Nishiyama, Tsubasa Imaizumi, Kenta Kusahara, Shiho Yagasaki, Naoki Matsumoto, Ryota Masuzaki, Toshimi Takahashi, Masahiro Ogawa
Definition and extraction of 2D shape indices of intracranial aneurysm necks for rupture risk assessment
Sarah Mittenentzwei, Oliver Beuing, Belal Neyazi, I. Erol Sandalcioglu, Naomi Larsen, Bernhard Preim, Sylvia Saalfeld
Augmented reality-based autostereoscopic surgical visualization system for telesurgery
Tianqi Huang, Ruiyang Li, Yangxi Li, Xinran Zhang, Hongen Liao
Luminal enhancement in intracranial aneurysms: fact or feature?—A quantitative multimodal flow analysis
Franziska Gaidzik, Mariya Pravdivtseva, Naomi Larsen, Olav Jansen, Jan-Bernd Hövener, Philipp Berg
Explaining a model predicting quality of surgical practice: a first presentation to and review by clinical experts
Arthur Derathé, Fabian Reche, Pierre Jannin, Alexandre Moreau-Gaudry, Bernard Gibaud, Sandrine Voros
Surgical workflow recognition with 3DCNN for Sleeve Gastrectomy
Bokai Zhang, Amer Ghanem, Alexander Simes, Henry Choi, Andrew Yoo
Self-supervised representation learning for surgical activity recognition
Daniel Paysan, Luis Haug, Michael Bajka, Markus Oelhafen, Joachim M. Buhmann
Object and anatomical feature recognition in surgical video images based on a convolutional neural network
Yoshiko Bamba, Shimpei Ogawa, Michio Itabashi, Hironari Shindo, Shingo Kameoka, Takahiro Okamoto, Masakazu Yamamoto
Impact of deformation on a supine-positioned image-guided breast surgery approach
Winona L. Richey, Jon S. Heiselman, Ma Luo, Ingrid M. Meszoely, Michael I. Miga