Rapid Synthesis of Domain-Specific Web Search Engines Based on Semi-Automatic Training-Example Generation. - Hidetomo Nabeshima; Reiko Miyagawa; Yuki Suzuki; Koji Iwanuma (Web Intelligence, 2006)

Vertex unfoldings of tight polyhedra - Toshiki Endo; Yuki Suzuki (CoRR, 2011)

Multi-organ segmentation in abdominal CT images. - Toshiyuki Okada; Marius George Linguraru; Masatoshi Hori; Yuki Suzuki; Ronald M. Summers; Noriyuki Tomiyama; Yoshinobu Sato (EMBC, 2012)

Automated Segmentation and Anatomical Labeling of Abdominal Arteries Based on Multi-organ Segmentation from Contrast-Enhanced CT Data. - Yuki Suzuki; Toshiyuki Okada; Masatoshi Hori; Futoshi Yokota; Marius George Linguraru; Noriyuki Tomiyama; Yoshinobu Sato (CLIP, 2012)

Detector ensemble based on false positive mining for pedestrian detection. - Yuki Suzuki; Daisuke Deguchi; Yasutomo Kawanishi; Ichiro Ide; Hiroshi Murase (ACPR, 2015)

Performance Improvement of Large-Scale Interconnection Network Simulator by Using GPU. - Yuki Suzuki; Takashi Yokota; Kanemitsu Ootsu; Takeshi Ohkawa (CANDAR, 2015)

Automated Segmentation of Hip and Thigh Muscles in Metal Artifact-Contaminated CT using Convolutional Neural Network-Enhanced Normalized Metal Artifact Reduction. - Mitsuki Sakamoto; Yuta Hiasa; Yoshito Otake; Masaki Takao; Yuki Suzuki; Nobuhiko Sugano; Yoshinobu Sato (CoRR, 2019)

A Novel Algorithm Checking for the Line Layout in a Factory. - Yuki Suzuki; Wataru Uemura (GCCE, 2020)

Weak supervision in convolutional neural network for semantic segmentation of diffuse lung diseases using partially annotated dataset. - Yuki Suzuki; Kazuki Yamagata; Yanagawa Masahiro; Shoji Kido; Noriyuki Tomiyama (Computer-Aided Diagnosis, 2020)

Bayesian Segmentation of Hip and Thigh Muscles in Metal Artifact-Contaminated CT Using Convolutional Neural Network-Enhanced Normalized Metal Artifact Reduction. - Mitsuki Sakamoto; Yuta Hiasa; Yoshito Otake; Masaki Takao; Yuki Suzuki; Nobuhiko Sugano; Yoshinobu Sato (J. Signal Process. Syst., 2020)

Factual Accuracy is not Enough: Planning Consistent Description Order for Radiology Report Generation. - Toru Nishino; Yasuhide Miura; Tomoki Taniguchi; Tomoko Ohkuma; Yuki Suzuki; Shoji Kido; Noriyuki Tomiyama (EMNLP, 2022)

Anatomy-aware Self-supervised Learning for Anomaly Detection in Chest Radiographs. - Junya Sato; Yuki Suzuki; Tomohiro Wataya; Daiki Nishigaki; Kosuke Kita; Kazuki Yamagata; Noriyuki Tomiyama; Shoji Kido (CoRR, 2022)

Segmentation of Lung Nodules on CT Images Using a Nested Three-Dimensional Fully Connected Convolutional Network. - Shoji Kido; Shunske Kidera; Yasushi Hirano; Shingo Mabu; Tohru Kamiya; Nobuyuki Tanaka; Yuki Suzuki; Yanagawa Masahiro; Noriyuki Tomiyama (Frontiers Artif. Intell., 2022)

Bi-modal network combining convolutional neural network and TabNet, differentiating spinal tumors based on images and clinical risk factors. - Kosuke Kita; Takahito Fujimori; Yuki Suzuki; Seiji Okada; Shoji Kido (Computer-Aided Diagnosis, 2023)

Automatic characterization of liver tumors from multi-phase CT images. - Keita Otani; Daiki Nishigaki; Taro Hatsutani; Takeshi Takamoto; Yuki Suzuki; Shoji Kido; Noriyuki Tomiyama (Computer-Aided Diagnosis, 2023)

Automated entry of paper-based patient-reported outcomes: Applying deep learning to the Japanese orthopaedic association back pain evaluation questionnaire. - Kosuke Kita; Takahito Fujimori; Yuki Suzuki; Takashi Kaito; Shota Takenaka; Yuya Kanie; Masayuki Furuya; Tomohiro Wataya; Daiki Nishigaki; Junya Sato; Noriyuki Tomiyama; Seiji Okada; et al. (Comput. Biol. Medicine, 2024)

Comparison of active learning algorithms in classifying head computed tomography reports using bidirectional encoder representations from transformers. - Tomohiro Wataya; Azusa Miura; Takahisa Sakisuka; Masahiro Fujiwara; Hisashi Tanaka; Yu Hiraoka; Junya Sato; Miyuki Tomiyama; Daiki Nishigaki; Kosuke Kita; Yuki Suzuki; Shoji Kido; et al. (Int. J. Comput. Assist. Radiol. Surg., 2025)