| Year |
Citation |
Score |
| 2020 |
Muramatsu C, Nishio M, Goto T, Oiwa M, Morita T, Yakami M, Kubo T, Togashi K, Fujita H. Improving breast mass classification by shared data with domain transformation using a generative adversarial network. Computers in Biology and Medicine. 119: 103698. PMID 32339129 DOI: 10.1016/j.compbiomed.2020.103698 |
0.386 |
|
| 2018 |
Muramatsu C. Overview on subjective similarity of images for content-based medical image retrieval. Radiological Physics and Technology. PMID 29740749 DOI: 10.1007/S12194-018-0461-6 |
0.503 |
|
| 2017 |
Hatanaka Y, Tajima M, Kawasaki R, Saito K, Ogohara K, Muramatsu C, Sunayama W, Fujita H. Retinal biometrics based on Iterative Closest Point algorithm. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2017: 373-376. PMID 29059888 DOI: 10.1109/EMBC.2017.8036840 |
0.333 |
|
| 2017 |
Sayed Aluwee SA, Zhou X, Kato H, Makino H, Muramatsu C, Hara T, Matsuo M, Fujita H. Evaluation of pre-surgical models for uterine surgery by use of three-dimensional printing and mold casting. Radiological Physics and Technology. PMID 28405900 DOI: 10.1007/S12194-017-0397-2 |
0.381 |
|
| 2017 |
Hiramatsu Y, Muramatsu C, Kobayashi H, Hara T, Fujita H. Automated detection of masses on whole breast volume ultrasound scanner: false positive reduction using deep convolutional neural network Proceedings of Spie. 10134. DOI: 10.1117/12.2254581 |
0.413 |
|
| 2017 |
Miki Y, Muramatsu C, Hayashi T, Zhou X, Hara T, Katsumata A, Fujita H. Tooth labeling in cone-beam CT using deep convolutional neural network for forensic identification Proceedings of Spie. 10134. DOI: 10.1117/12.2254332 |
0.427 |
|
| 2017 |
Fukui T, Kita K, Kamemoto H, Nishiyama W, Yoshida H, Iida Y, Katsumata A, Muramatsu C, Fujita H. Evaluation of age-related changes with cross-sectional CT imaging of teeth Proceedings of Spie. 10134. DOI: 10.1117/12.2254012 |
0.324 |
|
| 2017 |
Kamiya N, Ieda K, Zhou X, Yamada M, Kato H, Muramatsu C, Hara T, Miyoshi T, Inuzuka T, Matsuo M, Fujita H. Automated analysis of whole skeletal muscle for muscular atrophy detection of ALS in whole-body CT images: preliminary study Proceedings of Spie. 10134: 1013442. DOI: 10.1117/12.2251584 |
0.326 |
|
| 2016 |
Miki Y, Muramatsu C, Hayashi T, Zhou X, Hara T, Katsumata A, Fujita H. Classification of teeth in cone-beam CT using deep convolutional neural network. Computers in Biology and Medicine. 80: 24-29. PMID 27889430 DOI: 10.1016/J.Compbiomed.2016.11.003 |
0.386 |
|
| 2016 |
Muramatsu C, Hara T, Endo T, Fujita H. Breast mass classification on mammograms using radial local ternary patterns. Computers in Biology and Medicine. 72: 43-53. PMID 27015322 DOI: 10.1016/J.Compbiomed.2016.03.007 |
0.415 |
|
| 2016 |
Murakami H, Watanabe T, Fukuoka D, Terabayashi N, Hara T, Muramatsu C, Fujita H. Development of estimation system of knee extension strength using image features in ultrasound images of rectus femoris Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9790. DOI: 10.1117/12.2214843 |
0.42 |
|
| 2016 |
Muramatsu C, Hara T, Endo T, Fujita H. Breast mass classification on mammograms using radial local ternary patterns Computers in Biology and Medicine. 72: 43-53. DOI: 10.1016/j.compbiomed.2016.03.007 |
0.313 |
|
| 2016 |
Muramatsu C, Takahashi T, Morita T, Endo T, Fujita H. Similar image retrieval of breast masses on ultrasonography using subjective data and multidimensional scaling Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9699: 43-50. DOI: 10.1007/978-3-319-41546-8_6 |
0.488 |
|
| 2015 |
Murakawa S, Tanigawa A, Uchiyama Y, Muramatsu C, Hara T, Fujita H. Kernel eigenspace template matching for detection of lacunar infarcts on MR images. Nihon HōShasen Gijutsu Gakkai Zasshi. 71: 85-91. PMID 25748008 DOI: 10.6009/Jjrt.2015_Jsrt_71.2.85 |
0.379 |
|
| 2015 |
Uchiyama Y, Abe A, Muramatsu C, Hara T, Shiraishi J, Fujita H. Eigenspace template matching for detection of lacunar infarcts on MR images. Journal of Digital Imaging. 28: 116-22. PMID 24942983 DOI: 10.1007/S10278-014-9711-2 |
0.383 |
|
| 2015 |
Kawai R, Hara T, Katafuchi T, Ishihara T, Zhou X, Muramatsu C, Abe Y, Fujita H. Semi-automated measurements of heart-to-mediastinum ratio on 123I-MIBG myocardial scintigrams by using image fusion method with chest X-ray images Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9414. DOI: 10.1117/12.2081630 |
0.41 |
|
| 2015 |
Horiba K, Muramatsu C, Hayashi T, Fukui T, Hara T, Katsumata A, Fujita H. Automated classification of mandibular cortical bone on dental panoramic radiographs for early detection of osteoporosis Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9414. DOI: 10.1117/12.2081512 |
0.349 |
|
| 2015 |
Zhang M, Muramatsu C, Zhou X, Hara T, Fujita H. Blind image quality assessment using the joint statistics of generalized local binary pattern Ieee Signal Processing Letters. 22: 207-210. DOI: 10.1109/Lsp.2014.2326399 |
0.434 |
|
| 2014 |
Takahashi R, Muramatsu C, Hara T, Hayashi T, Katsumata A, Zhou X, Fujita H. [Improvements to an automated method for detecting carotid artery calcifications by adopting a positional feature and feature selection]. Nihon HōShasen Gijutsu Gakkai Zasshi. 70: 526-33. PMID 24953317 DOI: 10.6009/Jjrt.2014_Jsrt_70.6.526 |
0.401 |
|
| 2014 |
Zhang M, Katsumata A, Muramatsu C, Hara T, Suzuki H, Fujita H. An automatic early stage alveolar-bone-resorption evaluation method on digital dental panoramic radiographs Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9035. DOI: 10.1117/12.2044348 |
0.317 |
|
| 2014 |
Muramatsu C, Hatanaka Y, Ishida K, Sawada A, Yamamoto T, Fujita H. Preliminary study on differentiation between glaucomatous and non-glaucomatous eyes on stereo fundus images using cup gradient models Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9035. DOI: 10.1117/12.2043409 |
0.441 |
|
| 2014 |
Muramatsu C, Takahashi R, Hara T, Hayashi T, Katsumata A, Zhou X, Fujita H. Toward early diagnosis of arteriosclerotic diseases: Collaborative detection of carotid artery calcifications by computer and dentists on dental panoramic radiographs Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9035. DOI: 10.1117/12.2043407 |
0.399 |
|
| 2013 |
Inoue T, Hatanaka Y, Okumura S, Muramatsu C, Fujita H. Automated microaneurysm detection method based on eigenvalue analysis using Hessian matrix in retinal fundus images. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2013: 5873-6. PMID 24111075 DOI: 10.1109/EMBC.2013.6610888 |
0.322 |
|
| 2013 |
Muramatsu C, Nishimura K, Endo T, Oiwa M, Shiraiwa M, Doi K, Fujita H. Representation of lesion similarity by use of multidimensional scaling for breast masses on mammograms. Journal of Digital Imaging. 26: 740-7. PMID 23306711 DOI: 10.1007/S10278-012-9569-0 |
0.557 |
|
| 2013 |
Muramatsu C, Schmidt RA, Shiraishi J, Endo T, Fujita H, Doi K. Usefulness of presentation of similar images in the diagnosis of breast masses on mammograms: comparison of observer performances in Japan and the USA. Radiological Physics and Technology. 6: 70-7. PMID 22872420 DOI: 10.1007/S12194-012-0171-4 |
0.568 |
|
| 2013 |
Kamiya N, Zhou X, Chen H, Muramatsu C, Hara T, Fujita H. Model-based approach to recognize the rectus abdominis muscle in CT images Ieice Transactions On Information and Systems. 869-871. DOI: 10.1587/Transinf.E96.D.869 |
0.324 |
|
| 2013 |
Zhang M, Zhou X, Goshima S, Chen H, Muramatsu C, Hara T, Yokoyama R, Kanematsu M, Fujita H. Pulmonary emphysema classification based on an improved texton learning model by sparse representation Proceedings of Spie - the International Society For Optical Engineering. 8670. DOI: 10.1117/12.2007934 |
0.412 |
|
| 2013 |
Shimizu Y, Hara T, Fukuoka D, Zhou X, Muramatsu C, Ito S, Hakozaki K, Kumita SI, Ishihara KI, Katafuchi T, Fujita H. Temporal subtraction system on torso FDG-PET scans based on statistical image analysis Proceedings of Spie - the International Society For Optical Engineering. 8670. DOI: 10.1117/12.2007886 |
0.424 |
|
| 2013 |
Mori S, Hara T, Tagami M, Muramatsu C, Kaneda T, Katsumata A, Fujita H. Automated detection of abnormalities in paranasal sinus on dental panoramic radiographs by using contralateral subtraction technique based on mandible contour Proceedings of Spie - the International Society For Optical Engineering. 8670. DOI: 10.1117/12.2007820 |
0.326 |
|
| 2013 |
Muramatsu C, Nishimura K, Hara T, Fujita H. Preliminary investigation on CAD system update: Effect of selection of new cases on classifier performance Proceedings of Spie - the International Society For Optical Engineering. 8670. DOI: 10.1117/12.2007355 |
0.37 |
|
| 2013 |
Nishimura K, Muramatsu C, Oiwa M, Shiraiwa M, Endo T, Doi K, Fujita H. Psychophysical similarity measure based on multi-dimensional scaling for retrieval of similar images of breast masses on mammograms Proceedings of Spie - the International Society For Optical Engineering. 8670. DOI: 10.1117/12.2001037 |
0.631 |
|
| 2012 |
Kamiya N, Zhou X, Chen H, Muramatsu C, Hara T, Yokoyama R, Kanematsu M, Hoshi H, Fujita H. Automated segmentation of psoas major muscle in X-ray CT images by use of a shape model: preliminary study. Radiological Physics and Technology. 5: 5-14. PMID 21755416 DOI: 10.1007/S12194-011-0127-0 |
0.367 |
|
| 2012 |
Zhang M, Zhou X, Goshima S, Chen H, Muramatsu C, Hara T, Yokoyama R, Kanematsu M, Fujita H. An application to pulmonary emphysema classification based on model of texton learning by sparse representation Progress in Biomedical Optics and Imaging - Proceedings of Spie. 8315. DOI: 10.1117/12.912454 |
0.431 |
|
| 2012 |
Matsumoto T, Hayashi T, Hara T, Katsumata A, Muramatsu C, Zhou X, Iida Y, Matsuoka M, Katagi K, Fujita H. Automated scheme for measuring mandibular cortical thickness on dental panoramic radiographs for osteoporosis screening Progress in Biomedical Optics and Imaging - Proceedings of Spie. 8315. DOI: 10.1117/12.912309 |
0.318 |
|
| 2012 |
Hayashi T, Matsumoto T, Sawagashira T, Tagami M, Katsumata A, Hayashi Y, Muramatsu C, Zhou X, Iida Y, Matsuoka M, Katagi K, Fujita H. A new screening pathway for identifying asymptomatic patients using dental panoramic radiographs Progress in Biomedical Optics and Imaging - Proceedings of Spie. 8315. DOI: 10.1117/12.911791 |
0.359 |
|
| 2012 |
Muramatsu C, Nishimura K, Oiwa M, Shiraiwa M, Endo T, Doi K, Fujita H. Correspondence among subjective and objective similarities and pathologic types of breast masses on digital mammography Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7361: 450-457. DOI: 10.1007/978-3-642-31271-7_58 |
0.572 |
|
| 2011 |
Hatanaka Y, Noudo A, Muramatsu C, Sawada A, Hara T, Yamamoto T, Fujita H. Automatic measurement of cup to disc ratio based on line profile analysis in retinal images. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2011: 3387-90. PMID 22255066 DOI: 10.1109/IEMBS.2011.6090917 |
0.318 |
|
| 2011 |
Muramatsu C, Nakagawa T, Sawada A, Hatanaka Y, Yamamoto T, Fujita H. Automated determination of cup-to-disc ratio for classification of glaucomatous and normal eyes on stereo retinal fundus images. Journal of Biomedical Optics. 16: 096009. PMID 21950923 DOI: 10.1117/1.3622755 |
0.331 |
|
| 2010 |
Muramatsu C, Hayashi Y, Sawada A, Hatanaka Y, Hara T, Yamamoto T, Fujita H. Detection of retinal nerve fiber layer defects on retinal fundus images for early diagnosis of glaucoma. Journal of Biomedical Optics. 15: 016021. PMID 20210467 DOI: 10.1117/1.3322388 |
0.422 |
|
| 2010 |
Muramatsu C, Schmidt RA, Shiraishi J, Li Q, Doi K. Presentation of similar images as a reference for distinction between benign and malignant masses on mammograms: analysis of initial observer study. Journal of Digital Imaging. 23: 592-602. PMID 20054606 DOI: 10.1007/S10278-009-9263-Z |
0.608 |
|
| 2010 |
Muramatsu C, Hatanaka Y, Iwase T, Hara T, Fujita H. Automated detection and classification of major retinal vessels for determination of diameter ratio of arteries and veins Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7624. DOI: 10.1117/12.843898 |
0.344 |
|
| 2010 |
Hatanaka Y, Noudo A, Muramatsu C, Sawada A, Hara T, Yamamoto T, Fujita H. Vertical cup-to-disc ratio measurement for diagnosis of glaucoma on fundus images Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7624. DOI: 10.1117/12.843775 |
0.433 |
|
| 2009 |
Muramatsu C, Li Q, Schmidt RA, Shiraishi J, Doi K. Determination of similarity measures for pairs of mass lesions on mammograms by use of BI-RADS lesion descriptors and image features. Academic Radiology. 16: 443-9. PMID 19268856 DOI: 10.1016/J.Acra.2008.10.012 |
0.581 |
|
| 2009 |
Mizutani A, Muramatsu C, Hatanaka Y, Suemori S, Hara T, Fujita H. Automated microaneurysm detection method based on double-ring filter in retinal fundus images Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7260. DOI: 10.1117/12.813468 |
0.461 |
|
| 2009 |
Muramatsu C, Nakagawa T, Sawada A, Hatanaka Y, Hara T, Yamamoto T, Fujita H. Determination of cup and disc ratio of optical nerve head for diagnosis of glaucoma on stereo retinal fundus image pairs Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7260. DOI: 10.1117/12.811461 |
0.418 |
|
| 2009 |
Muramatsu C, Schmidta RA, Shiraishia J, Lic Q, Fujitab H, Doia K. Presentation of similar images for diagnosis of breast masses on mammograms: Analysis of the effect on residents Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7260. DOI: 10.1117/12.811447 |
0.538 |
|
| 2009 |
Hatanaka Y, Fukuta K, Muramatsu C, Sawada A, Hara T, Yamamoto T, Fujita H. Automated measurement of cup-to-disc ratio for diagnosing glaucoma in retinal fundus images Ifmbe Proceedings. 25: 198-200. DOI: 10.1007/978-3-642-03891-4-53 |
0.316 |
|
| 2008 |
Muramatsu C, Li Q, Schmidt R, Shiraishi J, Doi K. Investigation of psychophysical similarity measures for selection of similar images in the diagnosis of clustered microcalcifications on mammograms. Medical Physics. 35: 5695-702. PMID 19175126 DOI: 10.1118/1.3020760 |
0.631 |
|
| 2008 |
Kumazawa S, Muramatsu C, Li Q, Li F, Shiraishi J, Caligiuri P, Schmidt RA, MacMahon H, Doi K. An investigation of radiologists' perception of lesion similarity: observations with paired breast masses on mammograms and paired lung nodules on CT images. Academic Radiology. 15: 887-94. PMID 18572125 DOI: 10.1016/J.Acra.2008.01.012 |
0.508 |
|
| 2007 |
Muramatsu C, Li Q, Schmidt RA, Shiraishi J, Suzuki K, Newstead GM, Doi K. Determination of subjective similarity for pairs of masses and pairs of clustered microcalcifications on mammograms: comparison of similarity ranking scores and absolute similarity ratings. Medical Physics. 34: 2890-5. PMID 17821997 DOI: 10.1118/1.2745937 |
0.589 |
|
| 2007 |
Pereira RR, Azevedo Marques PM, Honda MO, Kinoshita SK, Engelmann R, Muramatsu C, Doi K. Usefulness of texture analysis for computerized classification of breast lesions on mammograms. Journal of Digital Imaging. 20: 248-55. PMID 17122993 DOI: 10.1007/S10278-006-9945-8 |
0.548 |
|
| 2007 |
Muramatsu C, Li Q, Schmidt R, Shiraishi J, Suzuki K, Newstead G, Doi K. SU-FF-I-03: Investigation of Similarity Measures for Selection of Similar Images for Breast Lesions On Mammograms Medical Physics. 34: 2338-2338. DOI: 10.1118/1.2760379 |
0.611 |
|
| 2007 |
Muramatsu C, Li Q, Schmidt RA, Shiraishi J, Suzuki K, Newstead GM, Doi K. Determination of subjective and objective similarity for pairs of masses on mammograms for selection of similar images Progress in Biomedical Optics and Imaging - Proceedings of Spie. 6514. DOI: 10.1117/12.713785 |
0.591 |
|
| 2006 |
Muramatsu C, Li Q, Schmidt R, Suzuki K, Shiraishi J, Newstead G, Doi K. Experimental determination of subjective similarity for pairs of clustered microcalcifications on mammograms: observer study results. Medical Physics. 33: 3460-8. PMID 17022242 DOI: 10.1118/1.2266280 |
0.607 |
|
| 2006 |
Muramatsu C, Li Q, Schmidt R, Suzuki K, Shiraishi J, Newstead G, Doi K. SU-FF-I-01: Determination of Subjective Similarity for Pairs of Lesions On Mammograms: Comparison of Ranking Scores in 2AFC Versus Absolute Ratings for Masses and Microcalcifications Medical Physics. 33: 1996-1997. DOI: 10.1118/1.2240239 |
0.551 |
|
| 2005 |
Muramatsu C, Li Q, Suzuki K, Schmidt RA, Shiraishi J, Newstead GM, Doi K. Investigation of psychophysical measure for evaluation of similar images for mammographic masses: Preliminary results. Medical Physics. 32: 2295-2304. PMID 28493579 DOI: 10.1118/1.1944913 |
0.596 |
|
| 2005 |
Muramatsu C, Li Q, Suzuki K, Schmidt RA, Shiraishi J, Newstead GM, Doi K. Investigation of psychophysical measure for evaluation of similar images for mammographic masses: preliminary results. Medical Physics. 32: 2295-304. PMID 16121585 DOI: 10.1118/1.1944913 |
0.551 |
|
| 2005 |
Muramatsu C, Li Q, Schmidt R, Suzuki K, Shiraishi J, Newstead G, Doi K. WE-C-I-609-02: Investigation of Various Methods for Determination of Similarity Measures for Pairs of Clustered Microcalcifications On Mammograms Medical Physics. 32: 2120-2120. DOI: 10.1118/1.1998493 |
0.619 |
|
| Low-probability matches (unlikely to be authored by this person) |
| 2011 |
Hatanaka Y, Mizukami A, Muramatsu C, Hara T, Fujita H. Automated lesion detection in retinal images Acm International Conference Proceeding Series. DOI: 10.1145/2093698.2093789 |
0.298 |
|
| 2010 |
Hatanaka Y, Noudo A, Muramatsu C, Sawada A, Hara T, Yamamoto T, Fujita H. Automatic measurement of vertical cup-to-disc ratio on retinal fundus images Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6165: 64-72. DOI: 10.1007/978-3-642-13923-9_7 |
0.286 |
|
| 2010 |
Lee GN, Okada T, Fukuoka D, Muramatsu C, Hara T, Morita T, Takada E, Endo T, Fujita H. Classifying breast masses in volumetric whole breast ultrasound data: A 2.5-dimensional approach Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6136: 636-642. DOI: 10.1007/978-3-642-13666-5_86 |
0.279 |
|
| 2018 |
Hatanaka Y, Inoue T, Ogohara K, Okumura S, Muramatsu C, Fujita H. Automated Microaneurysm Detection in Retinal Fundus Images Based on the Combination of Three Detectors Journal of Medical Imaging and Health Informatics. 8: 1096-1102. DOI: 10.1166/JMIHI.2018.2419 |
0.279 |
|
| 2014 |
Muramatsu C, Zhang M, Hara T, Endo T, Fujita H. Differentiation of malignant and benign masses on mammograms using radial local ternary pattern Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8539: 628-634. DOI: 10.1007/978-3-319-07887-8_87 |
0.278 |
|
| 2011 |
Hatanaka Y, Muramatsu C, Hara T, Fujita H. Automatic arteriovenous crossing phenomenon detection on retinal fundus images Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7963. DOI: 10.1117/12.877232 |
0.27 |
|
| 2010 |
Fujita H, You J, Li Q, Arimura H, Tanaka R, Sanada S, Niki N, Lee G, Hara T, Fukuoka D, Muramatsu C, Katafuchi T, Iinuma G, Miyake M, Arai Y, et al. State-of-the-art of computer-aided detection/diagnosis (CAD) Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6165: 296-305. DOI: 10.1007/978-3-642-13923-9_32 |
0.269 |
|
| 2012 |
Fujita H, Nogata F, Jiang H, Kido S, Feng T, Hara T, Hayashi T, Hirano Y, Katsumata A, Kawamura Y, Kokubo T, Liu J, Muramatsu C, Shouno H, Tachibana R, et al. Medical image processing and computer-aided detection/diagnosis (CAD) Icch 2012 Proceedings - International Conference On Computerized Healthcare. 66-71. DOI: 10.1109/ICCH.2012.6724473 |
0.269 |
|
| 2012 |
Hatanaka Y, Inoue T, Okumura S, Muramatsu C, Fujita H. Automated microaneurysm detection method based on double-ring filter and feature analysis in retinal fundus images Proceedings - Ieee Symposium On Computer-Based Medical Systems. DOI: 10.1109/CBMS.2012.6266339 |
0.266 |
|
| 2016 |
Muramatsu C, Ishida K, Sawada A, Hatanaka Y, Yamamoto T, Fujita H. Automated detection of retinal nerve fiber layer defects on fundus images: False positive reduction based on vessel likelihood Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9785. DOI: 10.1117/12.2216662 |
0.265 |
|
| 2011 |
Muramatsu C, Nakagawa T, Sawada A, Hatanaka Y, Hara T, Yamamoto T, Fujita H. Automated segmentation of optic disc region on retinal fundus photographs: Comparison of contour modeling and pixel classification methods. Computer Methods and Programs in Biomedicine. 101: 23-32. PMID 20546966 DOI: 10.1016/j.cmpb.2010.04.006 |
0.262 |
|
| 2011 |
Muramatsu C, Hatanaka Y, Sawada A, Yamamoto T, Fujita H. Computerized detection of peripapillary chorioretinal atrophy by texture analysis. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2011: 5947-50. PMID 22255694 DOI: 10.1109/IEMBS.2011.6091470 |
0.258 |
|
| 2011 |
Muramatsu C, Hatanaka Y, Iwase T, Hara T, Fujita H. Automated selection of major arteries and veins for measurement of arteriolar-to-venular diameter ratio on retinal fundus images. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. 35: 472-80. PMID 21489750 DOI: 10.1016/j.compmedimag.2011.03.002 |
0.257 |
|
| 2014 |
Hatanaka Y, Nagahata Y, Muramatsu C, Okumura S, Ogohara K, Sawada A, Ishida K, Yamamoto T, Fujita H. Improved automated optic cup segmentation based on detection of blood vessel bends in retinal fundus images. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2014: 126-9. PMID 25569913 DOI: 10.1109/EMBC.2014.6943545 |
0.254 |
|
| 2016 |
Kamiya N, Zhou X, Azuma K, Muramatsu C, Hara T, Fujita H. Automated recognition of the iliac muscle and modeling of muscle fiber direction in torso CT images Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9785. DOI: 10.1117/12.2214613 |
0.247 |
|
| 2020 |
Muramatsu C, Morishita T, Takahashi R, Hayashi T, Nishiyama W, Ariji Y, Zhou X, Hara T, Katsumata A, Ariji E, Fujita H. Tooth detection and classification on panoramic radiographs for automatic dental chart filing: improved classification by multi-sized input data. Oral Radiology. PMID 31893343 DOI: 10.1007/s11282-019-00418-w |
0.243 |
|
| 2022 |
Morishita T, Muramatsu C, Seino Y, Takahashi R, Hayashi T, Nishiyama W, Zhou X, Hara T, Katsumata A, Fujita H. Tooth recognition of 32 tooth types by branched single shot multibox detector and integration processing in panoramic radiographs. Journal of Medical Imaging (Bellingham, Wash.). 9: 034503. PMID 35756973 DOI: 10.1117/1.JMI.9.3.034503 |
0.243 |
|
| 2016 |
Hatanaka Y, Samo K, Tajima M, Ogohara K, Muramatsu C, Okumura S, Fujita H. Automated blood vessel extraction using local features on retinal images Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9785. DOI: 10.1117/12.2216572 |
0.241 |
|
| 2010 |
Niemeijer M, van Ginneken B, Cree MJ, Mizutani A, Quellec G, Sanchez CI, Zhang B, Hornero R, Lamard M, Muramatsu C, Wu X, Cazuguel G, You J, Mayo A, Li Q, et al. Retinopathy online challenge: automatic detection of microaneurysms in digital color fundus photographs. Ieee Transactions On Medical Imaging. 29: 185-95. PMID 19822469 DOI: 10.1109/Tmi.2009.2033909 |
0.238 |
|
| 2020 |
Nishio M, Muramatsu C, Noguchi S, Nakai H, Fujimoto K, Sakamoto R, Fujita H. Attribute-guided image generation of three-dimensional computed tomography images of lung nodules using a generative adversarial network. Computers in Biology and Medicine. 126: 104032. PMID 33045649 DOI: 10.1016/j.compbiomed.2020.104032 |
0.229 |
|
| 2020 |
Fukuda M, Ariji Y, Kise Y, Nozawa M, Kuwada C, Funakoshi T, Muramatsu C, Fujita H, Katsumata A, Ariji E. Comparison of 3 deep learning neural networks for classifying the relationship between the mandibular third molar and the mandibular canal on panoramic radiographs. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology. PMID 32444332 DOI: 10.1016/j.oooo.2020.04.005 |
0.228 |
|
| 2011 |
Sawagashira T, Hayashi T, Hara T, Katsumata A, Muramatsu C, Zhou X, Iida Y, Katagi K, Fujita H. An automatic detection method for carotid artery calcifications using top-hat filter on dental panoramic radiographs. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2011: 6208-11. PMID 22255757 DOI: 10.1109/IEMBS.2011.6091533 |
0.225 |
|
| 2011 |
Kamiya N, Zhou X, Chen H, Muramatsu C, Hara T, Yokoyama R, Kanematsu M, Hoshi H, Fujita H. Automated segmentation of recuts abdominis muscle using shape model in X-ray CT images. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2011: 7993-6. PMID 22256195 DOI: 10.1109/IEMBS.2011.6091971 |
0.207 |
|
| 2013 |
Sawagashira T, Hayashi T, Hara T, Katsumata A, Muramatsu C, Zhou X, Iida Y, Katagi K, Fujita H. An automatic detection method for carotid artery calcifications using top-hat filter on dental panoramic radiographs Ieice Transactions On Information and Systems. 1878-1881. DOI: 10.1587/transinf.E96.D.1878 |
0.205 |
|
| 2020 |
Kuwana R, Ariji Y, Fukuda M, Kise Y, Nozawa M, Kuwada C, Muramatsu C, Katsumata A, Fujita H, Ariji E. Performance of deep learning object detection technology in the detection and diagnosis of maxillary sinus lesions on panoramic radiographs. Dento Maxillo Facial Radiology. 20200171. PMID 32618480 DOI: 10.1259/dmfr.20200171 |
0.195 |
|
| 2018 |
Yamada Y, Wakao S, Kushida Y, Minatoguchi S, Mikami A, Higashi K, Baba S, Shigemoto T, Kuroda Y, Kanamori H, Amin M, Kawasaki M, Nishigaki K, Taoka M, Isobe T, ... Muramatsu C, et al. S1P-S1PR2 Axis Mediates Homing of Muse Cells into Damaged Heart for Long Lasting Tissue Repair and Functional Recovery After Acute Myocardial Infarction. Circulation Research. PMID 29475983 DOI: 10.1161/Circresaha.117.311648 |
0.193 |
|
| 2016 |
Hatanaka Y, Tachiki H, Ogohara K, Muramatsu C, Okumura S, Fujita H. Artery and vein diameter ratio measurement based on improvement of arteries and veins segmentation on retinal images. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2016: 1336-1339. PMID 28268572 DOI: 10.1109/EMBC.2016.7590954 |
0.184 |
|
| 2019 |
Kawasaki T, Hasebe T, Oiwa M, Sugiyama K, Muramatsu C, Ueda S, Osaki A, Ichikawa J, Teramoto N, Hoshida Y. Invasive carcinoma with neuroendocrine differentiation of the breast showing triple negative, large and basal cell-like features. Pathology International. PMID 31338942 DOI: 10.1111/pin.12832 |
0.178 |
|
| 2019 |
Ariji Y, Yanashita Y, Kutsuna S, Muramatsu C, Fukuda M, Kise Y, Nozawa M, Kuwada C, Fujita H, Katsumata A, Ariji E. Automatic detection and classification of radiolucent lesions in the mandible on panoramic radiographs using a deep learning object detection technique. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology. PMID 31320299 DOI: 10.1016/j.oooo.2019.05.014 |
0.172 |
|
| 2013 |
Muramatsu C, Matsumoto T, Hayashi T, Hara T, Katsumata A, Zhou X, Iida Y, Matsuoka M, Wakisaka T, Fujita H. Automated measurement of mandibular cortical width on dental panoramic radiographs. International Journal of Computer Assisted Radiology and Surgery. 8: 877-85. PMID 23179683 DOI: 10.1007/s11548-012-0800-8 |
0.167 |
|
| 2020 |
Muramatsu C. Diagnosis of Glaucoma on Retinal Fundus Images Using Deep Learning: Detection of Nerve Fiber Layer Defect and Optic Disc Analysis. Advances in Experimental Medicine and Biology. 1213: 121-132. PMID 32030667 DOI: 10.1007/978-3-030-33128-3_8 |
0.167 |
|
| 2016 |
Muramatsu C, Horiba K, Hayashi T, Fukui T, Hara T, Katsumata A, Fujita H. Quantitative assessment of mandibular cortical erosion on dental panoramic radiographs for screening osteoporosis. International Journal of Computer Assisted Radiology and Surgery. PMID 27289239 DOI: 10.1007/s11548-016-1438-8 |
0.152 |
|
| 2012 |
Hatanaka Y, Muramatsu C, Sawada A, Hara T, Yamamoto T, Fujita H. Glaucoma risk assessment based on clinical data and automated nerve fiber layer defects detection. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2012: 5963-6. PMID 23367287 DOI: 10.1109/EMBC.2012.6347352 |
0.151 |
|
| 2021 |
Nishio M, Fujimoto K, Matsuo H, Muramatsu C, Sakamoto R, Fujita H. Lung Cancer Segmentation With Transfer Learning: Usefulness of a Pretrained Model Constructed From an Artificial Dataset Generated Using a Generative Adversarial Network. Frontiers in Artificial Intelligence. 4: 694815. PMID 34337394 DOI: 10.3389/frai.2021.694815 |
0.142 |
|
| 2023 |
Muramatsu C, Nishide H, Ishii R, Shinohara N, Yamashina H. [Breast]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 79: 1239-1240. PMID 37981310 DOI: 10.6009/jjrt.2023-2282 |
0.138 |
|
| 2023 |
Kawasaki T, Tashima T, Enomoto A, Ichikawa J, Nagai H, Muramatsu C, Nakamura Y, Kaira K. Neuroendocrine neoplasms in the breast oncology field: dilemmas of nature and morphology. Frontiers in Endocrinology. 14: 1216424. PMID 38027104 DOI: 10.3389/fendo.2023.1216424 |
0.138 |
|
| 2009 |
Muramatsu C, Hayashi Y, Sawada A, Hatanaka Y, Hara T, Yamamoto T, Fujita H. Computerized detection of retinal nerve fiber layer defects in retinal fundus images by modified polar transformation and gabor filtering Ifmbe Proceedings. 25: 124-126. DOI: 10.1007/978-3-642-03891-4-33 |
0.13 |
|
| 2022 |
Kawasaki T, Tashima T, Muramatsu C, Fujimoto A, Usami Y, Kodama H, Ichikawa J, Nagai H, Taniyama K. Neuroendocrine tumor of the breast showing invasive micropapillary features and multiple lymph node metastases. Cancer Reports (Hoboken, N.J.). e1775. PMID 36572422 DOI: 10.1002/cnr2.1775 |
0.129 |
|
| 2015 |
Matsubara T, Ito A, Tsunomori A, Hara T, Muramatsu C, Endo T, Fujita H. An automated method for detecting architectural distortions on mammograms using direction analysis of linear structures Proceedings of the Annual International Conference of the Ieee Engineering in Medicine and Biology Society, Embs. 2015: 2661-2664. DOI: 10.1109/EMBC.2015.7318939 |
0.114 |
|
| 2021 |
Muramatsu C. [9. Computerized Diagnostic Aid for Mammography Using Deep Learning]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 77: 489-496. PMID 34011792 DOI: 10.6009/jjrt.2021_JSRT_77.5.489 |
0.105 |
|
| 2009 |
Kurosawa G, Sumitomo M, Akahori Y, Matsuda K, Muramatsu C, Takasaki A, Iba Y, Eguchi K, Tanaka M, Suzuki K, Morita M, Sato N, Sugiura M, Sugioka A, Hayashi N, et al. Methods for comprehensive identification of membrane proteins recognized by a large number of monoclonal antibodies. Journal of Immunological Methods. 351: 1-12. PMID 19766650 DOI: 10.1016/j.jim.2009.09.003 |
0.091 |
|
| 2009 |
Kitamura Y, Kurosawa G, Tanaka M, Sumitomo M, Muramatsu C, Eguchi K, Akahori Y, Iba Y, Tsuda H, Sugiura M, Hattori Y, Kurosawa Y. Frequent overexpression of CADM1/IGSF4 in lung adenocarcinoma. Biochemical and Biophysical Research Communications. 383: 480-4. PMID 19371721 DOI: 10.1016/j.bbrc.2009.04.039 |
0.086 |
|
| 1996 |
Muramatsu CH, Miyadahira AM. The teaching/learning process in uterine palpation and measurement: the effect of practice | Processo ensino-aprendizagem da técnica de palpação e mensuração uterina: influência da prática Revista Da Escola De Enfermagem Da U S P. 30: 456-472. PMID 9016159 |
0.075 |
|
| 2008 |
Kurosawa G, Akahori Y, Morita M, Sumitomo M, Sato N, Muramatsu C, Eguchi K, Matsuda K, Takasaki A, Tanaka M, Iba Y, Hamada-Tsutsumi S, Ukai Y, Shiraishi M, Suzuki K, et al. Comprehensive screening for antigens overexpressed on carcinomas via isolation of human mAbs that may be therapeutic. Proceedings of the National Academy of Sciences of the United States of America. 105: 7287-92. PMID 18474866 DOI: 10.1073/pnas.0712202105 |
0.069 |
|
| 2011 |
Kurosawa G, Sumitomo M, Ukai Y, Subere J, Muramatsu C, Eguchi K, Tanaka-Hashiba M, Sugiura M, Ando M, Sato N, Morita M, Inaba K, Morigaki S, Takasaki A, Akahori Y, et al. Selection and analysis of anti-cancer antibodies for cancer therapy obtained from antibody phage library. Cancer Science. 102: 175-81. PMID 21040215 DOI: 10.1111/j.1349-7006.2010.01739.x |
0.068 |
|
| 2001 |
Nakamura H, Motegi S, Nishizaki Y, Muramatsu C, Kobayashi F, Itakura M, Chino O, Kondo Y, Shibuya M, Matsuzaki S. A case of ileal heterotopic pancreas causing melena Japanese Journal of Gastroenterology. 98: 549-552. PMID 11400284 |
0.06 |
|
| 2009 |
Akahori Y, Kurosawa G, Sumitomo M, Morita M, Muramatsu C, Eguchi K, Tanaka M, Suzuki K, Sugiura M, Iba Y, Sugioka A, Kurosawa Y. Isolation of antigen/antibody complexes through organic solvent (ICOS) method. Biochemical and Biophysical Research Communications. 378: 832-5. PMID 19071089 DOI: 10.1016/j.bbrc.2008.11.129 |
0.053 |
|
| 2003 |
Motegi S, Nishizaki Y, Muramatsu C, Nakamura H, Kobayashi F, Shiozawa H, Kamochi J, Itakura M, Shibuya M, Ogawa T, Matsuzaki S. Hemophagocytic syndrome in ileum-origin B-cell lymphoma Journal of Gastroenterology. 38: 995-999. PMID 14614609 DOI: 10.1007/s00535-003-1184-x |
0.05 |
|
| 2003 |
Ogawa O, Onuma T, Kubo S, Mitsuhashi N, Muramatsu C, Kawamori R. Brachial-ankle pulse wave velocity and symptomatic cerebral infarction in patients with type 2 diabetes: a cross-sectional study. Cardiovascular Diabetology. 2: 10. PMID 12969516 DOI: 10.1186/1475-2840-2-10 |
0.045 |
|
| 2013 |
Mitsunobu S, Muramatsu C, Watanabe K, Sakata M. Behavior of antimony(V) during the transformation of ferrihydrite and its environmental implications Environmental Science and Technology. 47: 9660-9667. PMID 23909642 DOI: 10.1021/es4010398 |
0.044 |
|
| 2012 |
Muramatsu C, Sakata M, Mitsunobu S. Immobilization of arsenic(V) during the transformation of ferrihydrite: A direct speciation study using synchrotron-based XAFS spectroscopy Chemistry Letters. 41: 270-271. DOI: 10.1246/cl.2012.270 |
0.043 |
|
| 2015 |
Matsuura H, Akatsuka Y, Muramatsu C, Isogai S, Sugiura Y, Arakawa S, Murayama M, Kurahashi M, Takasuga H, Oshige T, Yuba T, Mizuta S, Emi N. Evaluation of the potassium adsorption capacity of a potassium adsorption filter during rapid blood transfusion. Vox Sanguinis. 108: 428-31. PMID 25754102 DOI: 10.1111/vox.12242 |
0.036 |
|
| 2001 |
Muramatsu CH, Vieira OC, Simões CC, Katayama DA, Nakagawa FH. Consequences of the premenstrual stress syndrome in women's life | Conseqüências da síndrome da tensão pré-menstrual na vida da mulher Revista Da Escola De Enfermagem Da U S P. 35: 205-213. PMID 12432599 |
0.032 |
|
| 1995 |
Kobayashi F, Watanabe M, Onami S, Muramatsu C, Shiraishi K, Itakura M, Matsuzaki S, Sato T, Simamura K. A case of retroperitoneal NHL with direct invasion to the liver, the pancreas and the gastric wall Japanese Journal of Gastroenterology. 92: 1006-1012. PMID 7541872 |
0.029 |
|
| 2021 |
Iwanaga H, Katayama Y, Kawashita I, Sugiyama S, Tachibana A, Hashimoto M, Muramatsu C. [How AI Will Change Medical Care: The Future of Radiology]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 77: 1-13. PMID 33473073 DOI: 10.6009/jjrt.2021_JSRT_77.1.1 |
0.025 |
|
| 2006 |
Li XG, Okada T, Kodera M, Nara Y, Takino N, Muramatsu C, Ikeguchi K, Urano F, Ichinose H, Metzger D, Chambon P, Nakano I, Ozawa K, Muramatsu S. Viral-mediated temporally controlled dopamine production in a rat model of Parkinson disease. Molecular Therapy : the Journal of the American Society of Gene Therapy. 13: 160-6. PMID 16182609 DOI: 10.1016/J.Ymthe.2005.08.009 |
0.024 |
|
| 2020 |
Muramatsu C, Kawashita I, Nakayama R, Kamiya N, Hirahara D. [Progress of Radiological Technology by AI]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 76: 1105-1106. PMID 33229839 DOI: 10.6009/jjrt.2020_JSRT_76.11.1105 |
0.023 |
|
| 2022 |
Muramatsu C. [JSRT Honorary Member "Dr. Shigeru Sanada"]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 77: 1447-1454. PMID 34924481 DOI: 10.6009/jjrt.2021_JSRT_77.12.1447 |
0.02 |
|
| 1999 |
Fidelis WM, Muramatsu CH. Students' background in the profession and duties in assistant nursing at the time of entering the course | Conhecimento dos alunos que ingressam no curso de auxiliar de enfermagem em relação ao ser profissional e as suas atribuições Revista Da Escola De Enfermagem Da U S P. 33: 217-223. PMID 10889755 |
0.016 |
|
| 1997 |
Muramatsu CH, Capelossi PF, de Gouvêa MB, Merighi MA, Sanchez IM. Married couples' experiences at a human reproduction center | Experiências de casais que procuram o centro de reprodução humana Revista Da Escola De Enfermagem Da U S P. 31: 274-286. PMID 9369760 |
0.01 |
|
| 2023 |
Muramatsu C, Saito S. [Preface]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 79: 382. PMID 37081661 DOI: 10.6009/jjrt.2023-2184 |
0.01 |
|
| 2022 |
Nishide H, Muramatsu C. [Preface]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 78: 412. PMID 35444097 DOI: 10.6009/jjrt.2022-2008 |
0.01 |
|
| 2021 |
Muramatsu C. [Preface]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 77: 760. PMID 34305065 DOI: 10.6009/jjrt.2021_JSRT_77.7.760 |
0.01 |
|
| 1985 |
Muramatsu C, Tanabe E. Urticarial vasculitis: Response to dapsone and colchicine Journal of the American Academy of Dermatology. 13: 1055. PMID 4078096 |
0.01 |
|
| Hide low-probability matches. |