Study on Cascade Classification in Abnormal Shadow Detection for Mammograms. - Mitsutaka Nemoto; Akinobu Shimizu; Hidefumi Kobatake; Hideya Takeo; Shigeru Nawano (Digital Mammography / IWDM, 2006)

Improvement of tumor detection performance in mammograms by feature selection from a large number of features and proposal of fast feature selection method. - Mitsutaka Nemoto; Akinobu Shimizu; Yoshihiro Hagihara; Hidefumi Kobatake; Shigeru Nawano (Syst. Comput. Jpn., 2006)

A pilot study of architectural distortion detection in mammograms based on characteristics of line shadows. - Mitsutaka Nemoto; Soshi Honmura; Akinobu Shimizu; Daisuke Furukawa; Hidefumi Kobatake; Shigeru Nawano (Int. J. Comput. Assist. Radiol. Surg., 2009)

Preliminary Study on Appearance-Based Detection of Anatomical Point Landmarks in Body Trunk CT Images. - Mitsutaka Nemoto; Yukihiro Nomura; Shohei Hanaoka; Yoshitaka Masutani; Takeharu Yoshikawa; Naoto Hayashi; Naoki Yoshioka; Kuni Ohtomo (MLMI, 2010)

CIRCUS: an MDA Platform for Clinical Image Analysis in Hospitals. - Yukihiro Nomura; Naoto Hayashi; Yoshitaka Masutani; Takeharu Yoshikawa; Mitsutaka Nemoto; Shohei Hanaoka; Soichiro Miki; Eriko Maeda; Kuni Ohtomo (Trans. Mass Data Anal. Images Signals, 2010)

3-D Graph Cut Segmentation with Riemannian Metrics to Avoid the Shrinking Problem. - Shohei Hanaoka; Karl D. Fritscher; Martin Welk; Mitsutaka Nemoto; Yoshitaka Masutani; Naoto Hayashi; Kuni Ohtomo; Rainer Schubert (MICCAI (3), 2011)

A unified framework for concurrent detection of anatomical landmarks for medical image understanding. - Mitsutaka Nemoto; Yoshitaka Masutani; Shouhei Hanaoka; Yukihiro Nomura; Takeharu Yoshikawa; Naoto Hayashi; Naoki Yoshioka; Kuni Ohtomo (Image Processing, 2011)

Appearance Similarity Flow for Quantification of Anatomical Landmark Uncertainty in Medical Images. - Yoshitaka Masutani; Mitsutaka Nemoto; Shohei Hanaoka; Naoto Hayashi; Kuni Ohtomo (ISVC (1), 2012)

Automatic Categorization of Anatomical Landmark-Local Appearances Based on Diffeomorphic Demons and Spectral Clustering for Constructing Detector Ensembles. - Shohei Hanaoka; Yoshitaka Masutani; Mitsutaka Nemoto; Yukihiro Nomura; Takeharu Yoshikawa; Naoto Hayashi; Kuni Ohtomo (MICCAI (2), 2012)

A Multiple Anatomical Landmark Detection System for Body CT Images. - Shouhei Hanaoka; Yoshitaka Masutani; Mitsutaka Nemoto; Yukihiro Nomura; Soichiro Miki; Takeharu Yoshikawa; Naoto Hayashi; Kuni Ohtomo (CANDAR, 2013)

Post-processing of Anatomical Landmark Detection: Distance Error Reduction by Pictorial Structure Matching-Based Method. - Mitsutaka Nemoto; Yoshitaka Masutani; Shouhei Hanaoka; Yukihiro Nomura; Kuni Ohtomo; Soichiro Miki; Takeharu Yoshikawa; Naoto Hayashi (CANDAR, 2013)

Training Strategy for Performance Improvement in Computer-Assisted Detection of Lesions: Based on Multi-institutional Study in Teleradiology Environment. - Yukihiro Nomura; Yoshitaka Masutani; Soichiro Miki; Shouhei Hanaoka; Mitsutaka Nemoto; Takeharu Yoshikawa; Naoto Hayashi; Kuni Ohtomo (CANDAR, 2013)

Coarse-to-fine localization of anatomical landmarks in CT images based on multi-scale local appearance and rotation-invariant spatial landmark distribution model. - Mitsutaka Nemoto; Yoshitaka Masutani; Shouhei Hanaoka; Yukihiro Nomura; Soichiro Miki; Takeharu Yoshikawa; Naoto Hayashi; Kuni Ohtomo (Image Processing, 2013)

HoTPiG: A Novel Geometrical Feature for Vessel Morphometry and Its Application to Cerebral Aneurysm Detection. - Shouhei Hanaoka; Yukihiro Nomura; Mitsutaka Nemoto; Soichiro Miki; Takeharu Yoshikawa; Naoto Hayashi; Kuni Ohtomo; Yoshitaka Masutani; Akinobu Shimizu (MICCAI (2), 2015)

A primitive study of voxel feature generation by multiple stacked denoising autoencoders for detecting cerebral aneurysms on MRA. - Mitsutaka Nemoto; Naoto Hayashi; Shouhei Hanaoka; Yukihiro Nomura; Soichiro Miki; Takeharu Yoshikawa; Kuni Ohtomo (Computer-Aided Diagnosis, 2016)

Lung lesion detection in FDG-PET/CT with Gaussian process regression. - Ryosuke Kamesawa; Issei Sato; Shouhei Hanaoka; Yukihiro Nomura; Mitsutaka Nemoto; Naoto Hayashi; Masashi Sugiyama (Computer-Aided Diagnosis, 2017)

Landmark-guided diffeomorphic demons algorithm and its application to automatic segmentation of the whole spine and pelvis in CT images. - Shouhei Hanaoka; Yoshitaka Masutani; Mitsutaka Nemoto; Yukihiro Nomura; Soichiro Miki; Takeharu Yoshikawa; Naoto Hayashi; Kuni Ohtomo; Akinobu Shimizu (Int. J. Comput. Assist. Radiol. Surg., 2017)

Automatic detection of vertebral number abnormalities in body CT images. - Shouhei Hanaoka; Yoshiyasu Nakano; Mitsutaka Nemoto; Yukihiro Nomura; Tomomi Takenaga; Soichiro Miki; Takeharu Yoshikawa; Naoto Hayashi; Yoshitaka Masutani; Akinobu Shimizu (Int. J. Comput. Assist. Radiol. Surg., 2017)

Feasibility Study of a Generalized Framework for Developing Computer-Aided Detection Systems - a New Paradigm. - Mitsutaka Nemoto; Naoto Hayashi; Shouhei Hanaoka; Yukihiro Nomura; Soichiro Miki; Takeharu Yoshikawa (J. Digit. Imaging, 2017)

Automatic detection of over 100 anatomical landmarks in medical CT images: A framework with independent detectors and combinatorial optimization. - Shouhei Hanaoka; Akinobu Shimizu; Mitsutaka Nemoto; Yukihiro Nomura; Soichiro Miki; Takeharu Yoshikawa; Naoto Hayashi; Kuni Ohtomo; Yoshitaka Masutani (Medical Image Anal., 2017)

Four-dimensional fully convolutional residual network-based liver segmentation in Gd-EOB-DTPA-enhanced MRI. - Tomomi Takenaga; Shouhei Hanaoka; Yukihiro Nomura; Mitsutaka Nemoto; Masaki Murata; Takahiro Nakao; Soichiro Miki; Takeharu Yoshikawa; Naoto Hayashi; Osamu Abe (Int. J. Comput. Assist. Radiol. Surg., 2019)

How to select training data to segment mammary gland region using a deep-learning approach for reliable individualized screening mammography. - Mika Yamamuro; Yoshiyuki Asai; Naomi Hashimoto; Nao Yasuda; Takahiro Yamada; Mitsutaka Nemoto; Yuichi Kimura; Hisashi Handa; Hisashi Yoshida; Koji Abe; Masahiro Tada; Hitoshi Habe; et al. (Computer-Aided Diagnosis, 2021)

Machine Learning-Based Diagnosis in Laser Resonance Frequency Analysis for Implant Stability of Orthopedic Pedicle Screws. - Katsuhiro Mikami; Mitsutaka Nemoto; Takeo Nagura; Masaya Nakamura; Morio Matsumoto; Daisuke Nakashima (Sensors, 2021)