Janne J. Näppi

发表

Computer-aided detection of small bowel strictures in CT enterography

Hiroyuki Yoshida, Nisha I. Sainani, Janne J. Näppi, 2011, Medical Imaging.

GAN-based survival prediction model from CT images of patients with idiopathic pulmonary fibrosis

Hyoungseop Kim, Janne J. Näppi, Tomoki Uemura, 2020, Medical Imaging.

Generative multi-adversarial network for striking the right balance in abdominal image segmentation

Christoph Meinel, Janne J. Näppi, Mina Rezaei, 2020, International Journal of Computer Assisted Radiology and Surgery.

U-radiomics for predicting survival of patients with idiopathic pulmonary fibrosis

Janne J. Näppi, Tomoki Uemura, Chinatsu Watari, 2020, Medical Imaging.

Comparative performance of 3D-DenseNet, 3D-ResNet, and 3D-VGG models in polyp detection for CT colonography

Hyoungseop Kim, Janne J. Näppi, Tomoki Uemura, 2020, Medical Imaging.

Deep learning for electronic cleansing in dual-energy CT colonography

Hiroyuki Yoshida, Rie Tachibana, Janne J. Näppi, 2016, SPIE Medical Imaging.

Automated detection of colorectal lesions with dual-energy CT colonography

Hiroyuki Yoshida, Janne J. Näppi, Se Hyung Kim, 2012, Medical Imaging.

Cycle-consistent 3D-generative adversarial network for virtual bowel cleansing in CT colonography

Hiroyuki Yoshida, Janne J. Näppi, H. Yoshida, 2019, Medical Imaging: Image Processing.

Application of Pseudo-enhancement Correction to Virtual Monochromatic CT Colonography

Hiroyuki Yoshida, Rie Tachibana, Janne J. Näppi, 2014, ABDI@MICCAI.

Context-specific method for detection of soft-tissue lesions in non-cathartic low-dose dual-energy CT colonography

Hiroyuki Yoshida, Janne J. Näppi, Daniele Regge, 2015, Medical Imaging.

Deep multi-spectral ensemble learning for electronic cleansing in dual-energy CT colonography

Hiroyuki Yoshida, Rie Tachibana, Janne J. Näppi, 2017, Medical Imaging.

Computer-aided diagnosis in CT colonography: detection of polyps based on geometric and texture features

Hiroyuki Yoshida, Janne J. Näppi, Hans Frimmel, 2002, SPIE Medical Imaging.

Self-supervised generative adversarial network for electronic cleansing in dual-energy CT colonography

Rie Tachibana, Janne J. Näppi, Toru Hironaka, 2020, Medical Imaging.

Comparative performance of 3D machine-learning and deep-learning models in the detection of small polyps in dual-energy CT colonography

Hyoungseop Kim, Janne J. Näppi, Tomoki Uemura, 2020, Medical Imaging.

Deep ensemble learning of virtual endoluminal views for polyp detection in CT colonography

Hiroyuki Yoshida, Janne J. Näppi, Toru Hironaka, 2017, Medical Imaging.

A generative flow-based model for volumetric data augmentation in 3D deep learning for computed tomographic colonography

Janne J. Näppi, Tomoki Uemura, Chinatsu Watari, 2020, International Journal of Computer Assisted Radiology and Surgery.

Information-Preserving Pseudo-Enhancement Correction for Non-Cathartic Low-Dose Dual-Energy CT Colonography

Hiroyuki Yoshida, Rie Tachibana, Janne J. Näppi, 2014, ABDI@MICCAI.

Generative synthetic adversarial network for internal bias correction and handling class imbalance problem in medical image diagnosis

Janne J. Näppi, Christoph Lippert, Christoph Meinel, 2020, Medical Imaging.

Deep radiomic prediction with clinical predictors of the survival in patients with rheumatoid arthritis-associated interstitial lung diseases

Hiroyuki Yoshida, Shoji Kido, Janne J. Näppi, 2018, Medical Imaging.

Deep learning of contrast-coated serrated polyps for computer-aided detection in CT colonography

Hiroyuki Yoshida, David H. Kim, Janne J. Näppi, 2017, Medical Imaging.

Detection of colorectal masses in CT colonography: application of deep residual networks for differentiating masses from normal colon anatomy

Hiroyuki Yoshida, Janne J. Näppi, Toru Hironaka, 2018, Medical Imaging.

Ensemble 3D residual network (E3D-ResNet) for reduction of false-positive polyp detections in CT colonography

Huimin Lu, Hiroyuki Yoshida, Hyoungseop Kim, 2019, Medical Imaging.

Radiomic texture-curvature (RTC) features for precision medicine of patients with rheumatoid arthritis-associated interstitial lung disease

Hiroyuki Yoshida, Noboru Niki, Yoshiki Kawata, 2018, Medical Imaging.

Electronic cleansing for dual-energy CT colonography based on material decomposition and virtual monochromatic imaging

Hiroyuki Yoshida, Rie Tachibana, Janne J. Näppi, 2015, Medical Imaging.

Computerized diagnosis of breast calcifications using specimen radiography and simulated calcifications

Olli Nevalainen, Janne J. Näppi, Peter B. Dean, 1999, Medical Imaging.

Computer-aided detection of polyps and masses for CT colonography

Hiroyuki Yoshida, Janne J. Näppi, Hans Frimmel, 2003, SPIE Medical Imaging.

Electronic cleansing for CT colonography using spectral-driven iterative reconstruction

Hiroyuki Yoshida, Rie Tachibana, Janne J. Näppi, 2017, Medical Imaging.

Volumetric detection of colorectal lesions for noncathartic dual-energy computed tomographic colonography

Hiroyuki Yoshida, Janne J. Näppi, Se Hyung Kim, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Deep transfer learning of virtual endoluminal views for the detection of polyps in CT colonography

Hiroyuki Yoshida, Janne J. Näppi, Toru Hironaka, 2016, SPIE Medical Imaging.

Progressive region-based colon extraction for computer-aided detection and quantitative imaging in cathartic and non-cathartic CT colonography

Hiroyuki Yoshida, Janne J. Näppi, Yasuji Ryu, 2014, Medical Imaging.

Volumetric detection of flat lesions for minimal-preparation dual-energy CT colonography

Hiroyuki Yoshida, Janne J. Näppi, Se Hyung Kim, 2013, Medical Imaging.