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ORCIDJanne Näppi
Janne J. Näppi
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2020 – today
- 2022
[c55]Mina Rezaei, Janne J. Näppi, Bernd Bischl, Hiroyuki Yoshida:
Bayesian uncertainty estimation for detection of long-tail and unseen conditions in abdominal images. Computer-Aided Diagnosis 2022- 2021
- [j10]Tomoki Uemura, Janne J. Näppi
, Yasuji Ryu, Chinatsu Watari, Tohru Kamiya, Hiroyuki Yoshida:
A generative flow-based model for volumetric data augmentation in 3D deep learning for computed tomographic colonography. Int. J. Comput. Assist. Radiol. Surg. 16(1): 81-89 (2021) - [j9]Tomoki Uemura, Janne J. Näppi, Chinatsu Watari, Toru Hironaka, Tohru Kamiya, Hiroyuki Yoshida:
Weakly unsupervised conditional generative adversarial network for image-based prognostic prediction for COVID-19 patients based on chest CT. Medical Image Anal. 73: 102159 (2021) - [c54]Janne J. Näppi, Tomoki Uemura, Perry J. Pickhardt, David H. Kim, Hiroyuki Yoshida:
3D deep learning for computer-aided detection of serrated polyps in CT colonography. Computer-Aided Diagnosis 2021 - [c53]Tomoki Uemura, Janne J. Näppi, Chinatsu Watari, Tohru Kamiya, Hiroyuki Yoshida:
Unsupervised survival prediction model from CT images of patients with COVID-19. Computer-Aided Diagnosis 2021 - 2020
- [j8]José Raniery Ferreira Jr., Marcel Koenigkam-Santos, Ariane Priscilla Magalhães Tenório, Matheus Calil Faleiros, Federico Enrique Garcia Cipriano, Alexandre Todorovic Fabro, Janne Näppi, Hiroyuki Yoshida, Paulo Mazzoncini de Azevedo Marques:
CT-based radiomics for prediction of histologic subtype and metastatic disease in primary malignant lung neoplasms. Int. J. Comput. Assist. Radiol. Surg. 15(1): 163-172 (2020) - [j7]Mina Rezaei, Janne J. Näppi, Christoph Lippert, Christoph Meinel, Hiroyuki Yoshida:
Generative multi-adversarial network for striking the right balance in abdominal image segmentation. Int. J. Comput. Assist. Radiol. Surg. 15(11): 1847-1858 (2020) - [c52]Janne J. Näppi, Tomoki Uemura, Se Hyung Kim, Hyoungseop Kim, Hiroyuki Yoshida:
Comparative performance of 3D machine-learning and deep-learning models in the detection of small polyps in dual-energy CT colonography. Computer-Aided Diagnosis 2020 - [c51]Mina Rezaei, Tomoki Uemura, Janne Näppi, Hiroyuki Yoshida, Christoph Lippert, Christoph Meinel:
Generative synthetic adversarial network for internal bias correction and handling class imbalance problem in medical image diagnosis. Computer-Aided Diagnosis 2020 - [c50]Tomoki Uemura, Janne J. Näppi, Toru Hironaka, Hyoungseop Kim, Hiroyuki Yoshida:
Comparative performance of 3D-DenseNet, 3D-ResNet, and 3D-VGG models in polyp detection for CT colonography. Computer-Aided Diagnosis 2020 - [c49]Tomoki Uemura, Chinatsu Watari, Janne J. Näppi, Toru Hironaka, Hyoungseop Kim, Hiroyuki Yoshida:
U-radiomics for predicting survival of patients with idiopathic pulmonary fibrosis. Computer-Aided Diagnosis 2020
2010 – 2019
- 2019
- [c48]Tomoki Uemura, Janne J. Näppi, Huimin Lu, Hyoungseop Kim, Rie Tachibana, Toru Hironaka, Hiroyuki Yoshida:
Ensemble 3D residual network (E3D-ResNet) for reduction of false-positive polyp detections in CT colonography. Computer-Aided Diagnosis 2019: 1095013 - [c47]Janne J. Näppi, Hiroyuki Yoshida:
Cycle-consistent 3D-generative adversarial network for virtual bowel cleansing in CT colonography. Image Processing 2019: 109492Z - 2018
- [c46]Radin A. Nasirudin, Janne J. Näppi, Chinatsu Watari, Mikio Matsuhiro, Toru Hironaka, Shoji Kido, Hiroyuki Yoshida:
Deep radiomic prediction with clinical predictors of the survival in patients with rheumatoid arthritis-associated interstitial lung diseases. Computer-Aided Diagnosis 2018: 105753R - [c45]Janne J. Näppi, Toru Hironaka, Hiroyuki Yoshida:
Detection of colorectal masses in CT colonography: application of deep residual networks for differentiating masses from normal colon anatomy. Computer-Aided Diagnosis 2018: 1057518 - 2017
- [c44]Janne J. Näppi, Perry J. Pickhardt, David H. Kim, Toru Hironaka, Hiroyuki Yoshida:
Deep learning of contrast-coated serrated polyps for computer-aided detection in CT colonography. Computer-Aided Diagnosis 2017: 101340H - [c43]Rie Tachibana, Janne J. Näppi, Toru Hironaka, Se Hyung Kim, Hiroyuki Yoshida:
Deep multi-spectral ensemble learning for electronic cleansing in dual-energy CT colonography. Computer-Aided Diagnosis 2017: 101340E - [c42]Kensuke Umehara, Janne J. Näppi, Toru Hironaka, Daniele Regge, Takayuki Ishida, Hiroyuki Yoshida:
Deep ensemble learning of virtual endoluminal views for polyp detection in CT colonography. Computer-Aided Diagnosis 2017: 101340G - [c41]Radin A. Nasirudin, Janne J. Näppi, Toru Hironaka, Rie Tachibana, Hiroyuki Yoshida:
Electronic cleansing for CT colonography using spectral-driven iterative reconstruction. Computer-Aided Diagnosis 2017: 1013436 - 2016
- [c40]Rie Tachibana, Janne J. Näppi, Toru Hironaka, Se Hyung Kim, Hiroyuki Yoshida:
Deep learning for electronic cleansing in dual-energy CT colonography. Computer-Aided Diagnosis 2016: 97851M - [c39]Janne J. Näppi, Toru Hironaka, Daniele Regge, Hiroyuki Yoshida:
Deep transfer learning of virtual endoluminal views for the detection of polyps in CT colonography. Computer-Aided Diagnosis 2016: 97852B - [c38]Rie Tachibana, Naja Kohlhase, Janne J. Näppi, Toru Hironaka, Junko Ota, Takayuki Ishida, Daniele Regge, Hiroyuki Yoshida:
Performance evaluation of multi-material electronic cleansing for ultra-low-dose dual-energy CT colonography. Computer-Aided Diagnosis 2016: 978526 - 2015
- [c37]Rie Tachibana, Janne J. Näppi, Se Hyung Kim, Hiroyuki Yoshida:
Electronic cleansing for dual-energy CT colonography based on material decomposition and virtual monochromatic imaging. Computer-Aided Diagnosis 2015: 94140Q - [c36]Janne J. Näppi, Daniele Regge, Hiroyuki Yoshida:
Context-specific method for detection of soft-tissue lesions in non-cathartic low-dose dual-energy CT colonography. Computer-Aided Diagnosis 2015: 94142Y - 2014
- [c35]Janne J. Näppi, Yasuji Ryu, Hiroyuki Yoshida:
Progressive region-based colon extraction for computer-aided detection and quantitative imaging in cathartic and non-cathartic CT colonography. Computer-Aided Diagnosis 2014: 90352X - [c34]Janne J. Näppi, Rie Tachibana, Daniele Regge, Hiroyuki Yoshida:
Information-Preserving Pseudo-Enhancement Correction for Non-Cathartic Low-Dose Dual-Energy CT Colonography. ABDI@MICCAI 2014: 159-168 - [c33]Rie Tachibana, Janne J. Näppi, Hiroyuki Yoshida:
Application of Pseudo-enhancement Correction to Virtual Monochromatic CT Colonography. ABDI@MICCAI 2014: 169-178 - [e1]Hiroyuki Yoshida, Janne J. Näppi, Sanjay Saini:
Abdominal Imaging. Computational and Clinical Applications, 6th International Workshop, ABDI 2014, Held in Conjunction with MICCAI 2014, Cambridge, MA, USA, September 14, 2014. Lecture Notes in Computer Science 8676, Springer 2014, ISBN 978-3-319-13691-2 [contents] - 2013
- [c32]Janne J. Näppi, Se Hyung Kim, Hiroyuki Yoshida:
Volumetric detection of flat lesions for minimal-preparation dual-energy CT colonography. Computer-Aided Diagnosis 2013: 86702E - [c31]Janne Näppi, Synho Do, Hiroyuki Yoshida:
Computer-Aided Detection of Colorectal Lesions with Super-Resolution CT Colonography: Pilot Evaluation. Abdominal Imaging 2013: 73-80 - [c30]Yasuji Ryu, Janne Näppi, Minh Phan, Hiroyuki Yoshida:
Computer-Aided Detection of Non-polypoid Flat Lesions in CT Colonography: Observer Performance Study. Abdominal Imaging 2013: 81-88 - [c29]Synho Do, Janne Näppi, Hiroyuki Yoshida:
Iterative Reconstruction for Ultra-Low-Dose Laxative-Free CT Colonography. Abdominal Imaging 2013: 99-106 - 2012
- [c28]Janne J. Näppi, Se Hyung Kim, Hiroyuki Yoshida:
Volumetric detection of colorectal lesions for noncathartic dual-energy computed tomographic colonography. EMBC 2012: 3740-3743 - [c27]Janne J. Näppi, Se Hyung Kim, Hiroyuki Yoshida:
Automated detection of colorectal lesions with dual-energy CT colonography. Computer-Aided Diagnosis 2012: 83150Y - [c26]Janne Näppi, Se Hyung Kim, Hiroyuki Yoshida:
Adaptive Volumetric Detection of Lesions for Minimal-Preparation Dual-Energy CT Colonography. Abdominal Imaging 2012: 30-39 - [c25]Janne Näppi, Masanori Imuta, Yasuyuki Yamashita, Hiroyuki Yoshida:
Computer-Aided Detection for Ultra-Low-Dose CT Colonography. Abdominal Imaging 2012: 40-48 - [c24]Janne Näppi, Don C. Rockey, Daniele Regge, Hiroyuki Yoshida:
Application of CT Acquisition Parameters as Features in Computer-Aided Detection for CT Colonography. Abdominal Imaging 2012: 69-77 - [c23]Sang Ho Lee, Janne Näppi, Hiroyuki Yoshida:
Comparative Performance of State-of-the-Art Classifiers in Computer-Aided Detection for CT Colonography. Abdominal Imaging 2012: 78-87 - 2011
- [c22]Janne J. Näppi, Daniele Regge, Hiroyuki Yoshida:
Probabilistic method for context-sensitive detection of polyps in CT colonography. Computer-Aided Diagnosis 2011: 79631D - [c21]Nisha I. Sainani, Janne J. Näppi, Dushyant V. Sahani, Hiroyuki Yoshida:
Computer-aided detection of small bowel strictures in CT enterography. Computer-Aided Diagnosis 2011: 79632J - [c20]Janne Näppi, Daniele Regge, Hiroyuki Yoshida:
Comparative Performance of Random Forest and Support Vector Machine Classifiers for Detection of Colorectal Lesions in CT Colonography. Abdominal Imaging 2011: 27-34 - [c19]Janne Näppi, Daniele Regge, Hiroyuki Yoshida:
Ensemble Detection of Colorectal Lesions for CT Colonography. Abdominal Imaging 2011: 60-67 - [c18]Janne Näppi, Stefan Gryspeerdt, Philippe Lefere, Michael E. Zalis, Hiroyuki Yoshida:
Automated Detection of Colorectal Lesions in Non-cathartic CT Colonography. Abdominal Imaging 2011: 68-75 - [c17]Janne Näppi, Dushyant Sahani, Joel G. Fletcher, Hiroyuki Yoshida:
Automated Detection and Diagnosis of Crohn's Disease in CT Enterography. Abdominal Imaging 2011: 84-90 - 2010
- [j6]Mariette Awad, Yuichi Motai, Janne Näppi, Hiroyuki Yoshida:
A Clinical Decision Support Framework for Incremental Polyps Classification in Virtual Colonoscopy. Algorithms 3(1): 1-20 (2010) - [c16]Janne Näppi, June-Goo Lee, Joel G. Fletcher, Hiroyuki Yoshida:
Computer-Assisted Diagnosis for Quantitative Image-Based Analysis of Crohn's Disease in CT Enterography. Virtual Colonoscopy and Abdominal Imaging 2010: 84-90 - [c15]Nisha I. Sainani, Janne Näppi, Dushyant Sahani, Hiroyuki Yoshida:
Computer-Aided Detection of Small Bowel Strictures for Emergency Radiology in CT Enterography. Virtual Colonoscopy and Abdominal Imaging 2010: 91-97
2000 – 2009
- 2009
- [c14]Janne Näppi, Wenli Cai, Hiroyuki Yoshida:
Computer-Aided Detection of Colorectal Lesions for Cathartic-Free CT Colonography. ISBI 2009: 911-914 - [c13]Hiroyuki Yoshida, Janne Näppi, Wenli Cai:
Computer-Aided Detection of Polyps in CT Colonography: Performance Evaluation in Comparison with Human Readers Based on Large Multicenter Clinical Trial Cases. ISBI 2009: 919-922 - 2008
- [j5]Janne Näppi, Hiroyuki Yoshida:
Adaptive correction of the pseudo-enhancement of CT attenuation for fecal-tagging CT colonography. Medical Image Anal. 12(4): 413-426 (2008) - 2007
- [j4]Hiroyuki Yoshida, Janne Näppi:
CAD in CT colonography without and with oral contrast agents: Progress and challenges. Comput. Medical Imaging Graph. 31(4-5): 267-284 (2007) - [c12]Janne Näppi, Hiroyuki Yoshida, Michael E. Zalis, Wenli Cai, Philippe Lefere:
Pseudo-enhancement correction for computer-aided detection in fecal-tagging CT colonography. Computer-Aided Diagnosis 2007: 65140A - [c11]Wenli Cai, Hiroyuki Yoshida, Michael E. Zalis, Janne Näppi:
Delineation of tagged region by use of local iso-surface roughness in electronic cleansing for CT colonography. Computer-Aided Diagnosis 2007: 651409 - 2006
- [c10]Janne Näppi, Hans Frimmel, Hiroyuki Yoshida:
Centerline-based colon segmentation for CAD of CT colonography. Image Processing 2006: 61445H - [c9]Wenli Cai, Janne Näppi, Michael E. Zalis, Gordon J. Harris, Hiroyuki Yoshida:
Digital bowel cleansing for computer-aided detection of polyps in fecal-tagging CT colonography. Image Processing 2006: 614422 - 2005
- [j3]Janne Näppi, Hans Frimmel, Hiroyuki Yoshida:
Virtual endoscopic visualization of the colon by shape-scale signatures. IEEE Trans. Inf. Technol. Biomed. 9(1): 120-131 (2005) - 2004
- [c8]Akihiko Okamura, Abraham H. Dachman, N. Parsad, Janne Näppi, Hiroyuki Yoshida:
Evaluation of the effect of CAD on observers' performance in detection of polyps in CT colonography. CARS 2004: 989-992 - [c7]Janne Näppi, Hans Frimmel, Akihiko Okamura, Abraham H. Dachman, Hiroyuki Yoshida:
Region-based supine-prone correspondence for reduction of false positives in CAD of CT colonography. CARS 2004: 993-998 - [c6]Janne Näppi, Hans Frimmel, Abraham H. Dachman, Hiroyuki Yoshida:
New high-performance CAD scheme for the detection of polyps in CT colonography. Image Processing 2004 - 2003
- [c5]Janne J. Näppi, Hans Frimmel, Abraham H. Dachman, Hiroyuki Yoshida:
Computer-aided detection of polyps and masses for CT colonography. Image Processing 2003 - 2002
- [c4]Hiroyuki Yoshida, Janne J. Näppi, Hans Frimmel, Abraham H. Dachman:
Computer-aided diagnosis in CT colonography: detection of polyps based on geometric and texture features. Image Processing 2002 - 2001
- [j2]Janne Näppi, Peter B. Dean, Olli Nevalainen, Sakari Toikkanen:
Algorithmic 3D simulation of breast calcifications for digital mammography. Comput. Methods Programs Biomed. 66(1): 115-124 (2001) - [j1]Hiroyuki Yoshida, Janne Näppi:
Three-Dimensional Computer-Aided Diagnosis Scheme for Detection of Colonic Polyps. IEEE Trans. Medical Imaging 20(12): 1261-1274 (2001) - [c3]Janne Näppi, Abraham H. Dachman, P. M. MacEneaney, Hiroyuki Yoshida:
Computer-aided detection of polyps in CT colonography: evaluation of volumetric features in differentiating polyps from false positives. CARS 2001: 676-681
1990 – 1999
- 1999
- [c2]Janne J. Näppi, Peter B. Dean, Olli Nevalainen, Sakari Toikkanen:
Computerized diagnosis of breast calcifications using specimen radiography and simulated calcifications. Image Processing 1999 - 1998
- [c1]Janne Näppi, Peter B. Dean, Tiina Ojala, Olli Nevalainen, Sakari Toikkanen:
Precise Segmentation of Calcifications for Reliable Computerized Diagnosis. Digital Mammography / IWDM 1998: 483-484
Coauthor Index
[c55] [j10] [j9] [c54] [c53] [j8] [j7] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [e1] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [j6] [c16] [c15] [c14] [c13] [j5] [j4] [c12] [c11] [c10] [c9] [j3] [c8] [c7] [c6] [c5] [c4] [j1] [c3]
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