Automatic segmentation of lumbar vertebrae in CT images (English)
- New search for: Kulkarni, Amruta
- New search for: Raina, Akshita
- New search for: Sharifi Sarabi, Mona
- New search for: Ahn, Christine S.
- New search for: Babayan, Diana
- New search for: Gaonkar, Bilwaj
- New search for: Macyszyn, Luke
- New search for: Raghavendra, Cauligi
- New search for: Kulkarni, Amruta
- New search for: Raina, Akshita
- New search for: Sharifi Sarabi, Mona
- New search for: Ahn, Christine S.
- New search for: Babayan, Diana
- New search for: Gaonkar, Bilwaj
- New search for: Macyszyn, Luke
- New search for: Raghavendra, Cauligi
In:
Proc. SPIE
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10134
; 1013448
;
2017
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ISBN:
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ISSN:
- Conference paper / Electronic Resource
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Title:Automatic segmentation of lumbar vertebrae in CT images
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Contributors:Kulkarni, Amruta ( author ) / Raina, Akshita ( author ) / Sharifi Sarabi, Mona ( author ) / Ahn, Christine S. ( author ) / Babayan, Diana ( author ) / Gaonkar, Bilwaj ( author ) / Macyszyn, Luke ( author ) / Raghavendra, Cauligi ( author )
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Conference:Medical Imaging 2017: Computer-Aided Diagnosis ; 2017 ; Orlando,Florida,United States
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Published in:Proc. SPIE ; 10134 ; 1013448
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Publisher:
- New search for: SPIE
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Publication date:2017-03-03
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ISBN:
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ISSN:
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DOI:
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Type of media:Conference paper
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Type of material:Electronic Resource
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Language:English
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Source:
Table of contents conference proceedings
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 101340A
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Automatic detection of lung nodules: false positive reduction using convolution neural networks and handcrafted featuresFu, Ling / Ma, Jingchen / Ren, Yacheng / Han, Youn Seon / Zhao, Jun et al. | 2017
- 101340B
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The effects of slice thickness and radiation dose level variations on computer-aided diagnosis (CAD) nodule detection performance in pediatric chest CT scansEmaminejad, Nastaran / Lo, Pechin / Ghahremani, Shahnaz / Kim, Grace H. / Brown, Matthew S. / McNitt-Gray, Michael F. et al. | 2017
- 101340C
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Lung lesion detection in FDG-PET/CT with Gaussian process regressionKamesawa, Ryosuke / Sato, Issei / Hanaoka, Shouhei / Nomura, Yukihiro / Nemoto, Mitsutaka / Hayashi, Naoto / Sugiyama, Masashi et al. | 2017
- 101340D
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Evaluation of image features and classification methods for Barrett's cancer detection using VLE imagingKlomp, Sander / van der Sommen, Fons / Swager, Anne-Fré / Zinger, Svitlana / Schoon, Erik J. / Curvers, Wouter L. / Bergman, Jacques J. / de With, Peter H. N. et al. | 2017
- 101340E
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Deep multi-spectral ensemble learning for electronic cleansing in dual-energy CT colonographyTachibana, Rie / Näppi, Janne J. / Hironaka, Toru / Kim, Se Hyung / Yoshida, Hiroyuki et al. | 2017
- 101340F
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Fully convolutional neural networks for polyp segmentation in colonoscopyBrandao, Patrick / Mazomenos, Evangelos / Ciuti, Gastone / Caliò, Renato / Bianchi, Federico / Menciassi, Arianna / Dario, Paolo / Koulaouzidis, Anastasios / Arezzo, Alberto / Stoyanov, Danail et al. | 2017
- 101340G
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Deep ensemble learning of virtual endoluminal views for polyp detection in CT colonographyUmehara, Kensuke / Näppi, Janne J. / Hironaka, Toru / Regge, Daniele / Ishida, Takayuki / Yoshida, Hiroyuki et al. | 2017
- 101340H
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Deep learning of contrast-coated serrated polyps for computer-aided detection in CT colonographyNäppi, Janne J. / Pickhardt, Perry / Kim, David H. / Hironaka, Toru / Yoshida, Hiroyuki et al. | 2017
- 101340I
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A study of oral contrast coating on the surface of polyps: an implication for computer-aided detection and classification of polypsSingh, Harmanpreet / Li, Lihong C. / Pomeroy, Marc / Pickhardt, Perry J. / Barish, Matthew A. / Harrington, Donald P. / Liang, Zhengrong et al. | 2017
- 101340J
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Computer assisted optical biopsy for colorectal polypsNavarro-Avila, Fernando J. / Saint-Hill-Febles, Yadira / Renner, Janis / Klare, Peter / von Delius, Stefan / Navab, Nassir / Mateus, Diana et al. | 2017
- 101340K
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Automatic estimation of heart boundaries and cardiothoracic ratio from chest x-ray imagesDallal, Ahmed H. / Agarwal, Chirag / Arbabshirani, Mohammad R. / Patel, Aalpen / Moore, Gregory et al. | 2017
- 101340L
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Coronary artery calcification identification and labeling in low-dose chest CT imagesXie, Yiting / Liu, Shuang / Miller, Albert / Miller, Jeffrey A. / Markowitz, Steven / Akhund, Ali / Reeves, Anthony P. et al. | 2017
- 101340M
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Coronary artery calcification (CAC) classification with deep convolutional neural networksLiu, Xiuming / Wang, Shice / Deng, Yufeng / Chen, Kuan et al. | 2017
- 101340N
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Automatic extraction of disease-specific features from Doppler imagesNegahdar, Mohammadreza / Moradi, Mehdi / Parajuli, Nripesh / Syeda-Mahmood, Tanveer et al. | 2017
- 101340O
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Differentiation of pre-ablation and post-ablation late gadolinium-enhanced cardiac MRI scans of longstanding persistent atrial fibrillation patientsYang, Guang / Zhuang, Xiahai / Khan, Habib / Haldar, Shouvik / Nyktari, Eva / Li, Lei / Ye, Xujiong / Slabaugh, Greg / Wong, Tom / Mohiaddin, Raad et al. | 2017
- 101340P
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Radiomic modeling of BI-RADS density categoriesWei, Jun / Chan, Heang-Ping / Helvie, Mark A. / Roubidoux, Marilyn A. / Zhou, Chuan / Hadjiiski, Lubomir et al. | 2017
- 101340Q
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Neutrosophic segmentation of breast lesions for dedicated breast CTLee, Juhun / Nishikawa, Robert M. / Reiser, Ingrid / Boone, John M. et al. | 2017
- 101340R
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Fully automated breast density assessment from low-dose chest CTLiu, Shuang / Margolies, Laurie R. / Xie, Yiting / Yankelevitz, David F. / Henschke, Claudia I. / Reeves, Anthony P. et al. | 2017
- 101340S
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Convolutional neural network approach for enhanced capture of breast parenchymal complexity patterns associated with breast cancer riskOustimov, Andrew / Gastounioti, Aimilia / Hsieh, Meng-Kang / Pantalone, Lauren / Conant, Emily F. / Kontos, Despina et al. | 2017
- 101340T
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Identifying key radiogenomic associations between DCE-MRI and micro-RNA expressions for breast cancerSamala, Ravi K. / Chan, Heang-Ping / Hadjiiski, Lubomir / Helvie, Mark A. / Kim, Renaid et al. | 2017
- 101340U
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Comparison of breast DCE-MRI contrast time points for predicting response to neoadjuvant chemotherapy using deep convolutional neural network features with transfer learningHuynh, Benjamin Q. / Antropova, Natasha / Giger, Maryellen L. et al. | 2017
- 101340W
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Superpixel-based classification of gastric chromoendoscopy imagesBoschetto, Davide / Grisan, Enrico et al. | 2017
- 101340X
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Quantification of CT images for the classification of high- and low-risk pancreatic cystsGazit, Lior / Chakraborty, Jayasree / Attiyeh, Marc / Langdon-Embry, Liana / Allen, Peter J. / Do, Richard K. G. / Simpson, Amber L. et al. | 2017
- 101340Y
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Automated liver elasticity calculation for 3D MREDzyubak, Bogdan / Glaser, Kevin J. / Manduca, Armando / Ehman, Richard L. et al. | 2017
- 101340Z
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The effects of iterative reconstruction in CT on low-contrast liver lesion volumetry: a phantom studyLi, Qin / Berman, Benjamin P. / Schumacher, Justin / Liang, Yongguang / Gavrielides, Marios A. / Yang, Hao / Zhao, Binsheng / Petrick, Nicholas et al. | 2017
- 101341A
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Pelvic artery calcification detection on CT scans using convolutional neural networksLiu, Jiamin / Lu, Le / Yao, Jianhua / Bagheri, Mohammadhadi / Summers, Ronald M. et al. | 2017
- 101341B
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Vessel segmentation in 4D arterial spin labeling magnetic resonance angiography images of the brainPhellan, Renzo / Lindner, Thomas / Falcão, Alexandre X. / Forkert, Nils D. et al. | 2017
- 101341C
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Computer-assisted adjuncts for aneurysmal morphologic assessment: toward more precise and accurate approachesRajabzadeh-Oghaz, Hamidreza / Varble, Nicole / Davies, Jason M. / Mowla, Ashkan / Shakir, Hakeem J. / Sonig, Ashish / Shallwani, Hussain / Snyder, Kenneth V. / Levy, Elad I. / Siddiqui, Adnan H. et al. | 2017
- 101341D
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Hessian-assisted supervoxel: structure-oriented voxel clustering and application to mediastinal lymph node detection from CT volumesOda, Hirohisa / Bhatia, Kanwal K. / Oda, Masahiro / Kitasaka, Takayuki / Iwano, Shingo / Homma, Hirotoshi / Takabatake, Hirotsugu / Mori, Masaki / Natori, Hiroshi / Schnabel, Julia A. et al. | 2017
- 101341E
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Conditional random field modelling of interactions between findings in mammographyKooi, Thijs / Mordang, Jan-Jurre / Karssemeijer, Nico et al. | 2017
- 101341F
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Deep learning and three-compartment breast imaging in breast cancer diagnosisDrukker, Karen / Huynh, Benjamin Q. / Giger, Maryellen L. / Malkov, Serghei / Avila, Jesus I. / Fan, Bo / Joe, Bonnie / Kerlikowske, Karla / Drukteinis, Jennifer S. / Kazemi, Leila et al. | 2017
- 101341G
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Performance comparison of deep learning and segmentation-based radiomic methods in the task of distinguishing benign and malignant breast lesions on DCE-MRIAntropova, Natasha / Huynh, Benjamin / Giger, Maryellen et al. | 2017
- 101341H
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Classification of breast MRI lesions using small-size training sets: comparison of deep learning approachesAmit, Guy / Ben-Ari, Rami / Hadad, Omer / Monovich, Einat / Granot, Noa / Hashoul, Sharbell et al. | 2017
- 101341I
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Prediction of occult invasive disease in ductal carcinoma in situ using computer-extracted mammographic featuresShi, Bibo / Grimm, Lars J. / Mazurowski, Maciej A. / Marks, Jeffrey R. / King, Lorraine M. / Maley, Carlo C. / Hwang, E. Shelley / Lo, Joseph Y. et al. | 2017
- 101341J
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Deep learning of symmetrical discrepancies for computer-aided detection of mammographic massesKooi, Thijs / Karssemeijer, Nico et al. | 2017
- 101341K
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Estimation of retinal vessel caliber using model fitting and random forestsAraújo, Teresa / Mendonça, Ana Maria / Campilho, Aurélio et al. | 2017
- 101341L
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Automatic and semi-automatic approaches for arteriolar-to-venular computation in retinal photographsMendonça, Ana Maria / Remeseiro, Beatriz / Dashtbozorg, Behdad / Campilho, Aurélio et al. | 2017
- 101341M
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Automatic detection of diabetic retinopathy features in ultra-wide field retinal imagesLevenkova, Anastasia / Sowmya, Arcot / Kalloniatis, Michael / Ly, Angelica / Ho, Arthur et al. | 2017
- 101341N
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Detection of retinal changes from illumination normalized fundus images using convolutional neural networksAdal, Kedir M. / van Etten, Peter G. / Martinez, Jose P. / Rouwen, Kenneth / Vermeer, Koenraad A. / van Vliet, Lucas J. et al. | 2017
- 101341O
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Joint deep shape and appearance learning: application to optic pathway glioma segmentationMansoor, Awais / Li, Ien / Packer, Roger J. / Avery, Robert A. / Linguraru, Marius George et al. | 2017
- 101341P
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Deep learning for segmentation of brain tumors: can we train with images from different institutions?Paredes, David / Saha, Ashirbani / Mazurowski, Maciej A. et al. | 2017
- 101341Q
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Multi-threshold white matter structural networks fusion for accurate diagnosis of Tourette syndrome childrenWen, Hongwei / Liu, Yue / Wang, Shengpei / Li, Zuoyong / Zhang, Jishui / Peng, Yun / He, Huiguang et al. | 2017
- 101341R
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Pairwise mixture model for unmixing partial volume effect in multi-voxel MR spectroscopy of brain tumour patientsOlliverre, Nathan / Asad, Muhammad / Yang, Guang / Howe, Franklyn / Slabaugh, Gregory et al. | 2017
- 101341S
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IDH mutation assessment of glioma using texture features of multimodal MR imagesZhang, Xi / Tian, Qiang / Wu, Yu-Xia / Xu, Xiao-Pan / Li, Bao-Juan / Liu, Yi-Xiong / Liu, Yang / Lu, Hong-Bing et al. | 2017
- 101341T
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Radiogenomic analysis of lower grade glioma: a pilot multi-institutional study shows an association between quantitative image features and tumor genomicsMazurowski, Maciej A. / Clark, Kal / Czarnek, Nicholas M. / Shamsesfandabadi, Parisa / Peters, Katherine B. / Saha, Ashirbani et al. | 2017
- 101341U
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Radiogenomic analysis of hypoxia pathway reveals computerized MRI descriptors predictive of overall survival in glioblastomaBeig, Niha / Patel, Jay / Prasanna, Prateek / Partovi, Sasan / Varadan, Vinay / Madabhushi, Anant / Tiwari, Pallavi et al. | 2017
- 101341V
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Effective user guidance in online interactive semantic segmentationPetersen, Jens / Bendszus, Martin / Debus, Jürgen / Heiland, Sabine / Maier-Hein, Klaus H. et al. | 2017
- 101341W
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Cephalometric landmark detection in dental x-ray images using convolutional neural networksLee, Hansang / Park, Minseok / Kim, Junmo et al. | 2017
- 101341X
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Autoscope: automated otoscopy image analysis to diagnose ear pathology and use of clinically motivated eardrum featuresSenaras, Caglar / Moberly, Aaron C. / Teknos, Theodoros / Essig, Garth / Elmaraghy, Charles / Taj-Schaal, Nazhat / Yu, Lianbo / Gurcan, Metin et al. | 2017
- 101341Y
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Examining in vivo tympanic membrane mobility using smart phone video-otoscopy and phase-based Eulerian video magnificationJanatka, Mirek / Ramdoo, Krishan S. / Tatla, Taran / Pachtrachai, Krittin / Elson, Daniel S. / Stoyanov, Danail et al. | 2017
- 101341Z
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Radiomics biomarkers for accurate tumor progression prediction of oropharyngeal cancerHadjiiski, Lubomir / Chan, Heang-Ping / Cha, Kenny H. / Srinivasan, Ashok / Wei, Jun / Zhou, Chuan / Prince, Mark / Papagerakis, Silvana et al. | 2017
- 101342A
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Classification of clinical significance of MRI prostate findings using 3D convolutional neural networksMehrtash, Alireza / Sedghi, Alireza / Ghafoorian, Mohsen / Taghipour, Mehdi / Tempany, Clare M. / Wells, William M. / Kapur, Tina / Mousavi, Parvin / Abolmaesumi, Purang / Fedorov, Andriy et al. | 2017
- 101342B
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Analysis of18F-DMFP-PET data using Hidden Markov Random Field and the Gaussian distribution to assist the diagnosis of ParkinsonismSegovia, Fermín / Salas-Gonzalez, Diego / Górriz, Juan M. / Ramírez, Javier / Martínez-Murcia, Francisco J. et al. | 2017
- 101342C
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Automated method to compute Evans index for diagnosis of idiopathic normal pressure hydrocephalus on brain CT imagesTakahashi, Noriyuki / Kinoshita, Toshibumi / Ohmura, Tomomi / Matsuyama, Eri / Toyoshima, Hideto et al. | 2017
- 101342D
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Case-based statistical learning applied to SPECT image classificationGórriz, Juan M. / Ramírez, Javier / Illán, I. A. / Martínez-Murcia, Francisco J. / Segovia, Fermín / Salas-Gonzalez, Diego / Ortiz, A. et al. | 2017
- 101342E
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Fine-tuning convolutional deep features for MRI based brain tumor classificationAhmed, Kaoutar B. / Hall, Lawrence O. / Goldgof, Dmitry B. / Liu, Renhao / Gatenby, Robert A. et al. | 2017
- 101342F
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Application of probabilistically weighted graphs to image-based diagnosis of Alzheimer's disease using diffusion MRIMaryam, Syeda / McCrackin, Laura / Crowley, Mark / Rathi, Yogesh / Michailovich, Oleg et al. | 2017
- 101342G
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Machine learning algorithm for automatic detection of CT-identifiable hyperdense lesions associated with traumatic brain injuryKeshavamurthy, Krishna N. / Leary, Owen P. / Merck, Lisa H. / Kimia, Benjamin / Collins, Scott / Wright, David W. / Allen, Jason W. / Brock, Jeffrey F. / Merck, Derek et al. | 2017
- 101342H
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Automatic classification of patients with idiopathic Parkinson's disease and progressive supranuclear palsy using diffusion MRI datasetsTalai, Sahand / Boelmans, Kai / Sedlacik, Jan / Forkert, Nils D. et al. | 2017
- 101342I
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Automated detection and quantification of residual brain tumor using an interactive computer-aided detection schemeGaffney, Kevin P. / Aghaei, Faranak / Battiste, James / Zheng, Bin et al. | 2017
- 101342J
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Improving utility of brain tumor confocal laser endomicroscopy: objective value assessment and diagnostic frame detection with convolutional neural networksIzadyyazdanabadi, Mohammadhassan / Belykh, Evgenii / Martirosyan, Nikolay / Eschbacher, Jennifer / Nakaji, Peter / Yang, Yezhou / Preul, Mark C. et al. | 2017
- 101342K
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Automatic classification of cardioembolic and arteriosclerotic ischemic strokes from apparent diffusion coefficient datasets using texture analysis and deep learningVillafruela, Javier / Crites, Sebastian / Cheng, Bastian / Knaack, Christian / Thomalla, Götz / Menon, Bijoy K. / Forkert, Nils D. et al. | 2017
- 101342L
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Improved brain tumor segmentation by utilizing tumor growth model in longitudinal brain MRIPei, Linmin / Reza, Syed M. S. / Li, Wei / Davatzikos, Christos / Iftekharuddin, Khan M. et al. | 2017
- 101342M
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Feature extraction using convolutional neural network for classifying breast density in mammographic imagesThomaz, Ricardo L. / Carneiro, Pedro C. / Patrocinio, Ana C. et al. | 2017
- 101342N
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An ensemble-based approach for breast mass classification in mammography imagesRibeiro, Patricia B. / Papa, João P. / Romero, Roseli A. F. et al. | 2017
- 101342O
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A novel deep learning-based approach to high accuracy breast density estimation in digital mammographyAhn, Chul Kyun / Heo, Changyong / Jin, Heongmin / Kim, Jong Hyo et al. | 2017
- 101342P
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Does the prediction of breast cancer improve using a combination of mammographic density measures compared to individual measures alone?Wong Sik Hee, Joseph Ryan / Harkness, Elaine F. / Gadde, Soujanya / Lim, Yit Y. / Maxwell, Anthony J. / Evans, D. Gareth / Howell, Anthony / Astley, Susan M. et al. | 2017
- 101342Q
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Automated assessment of breast tissue density in non-contrast 3D CT images without image segmentation based on a deep CNNZhou, Xiangrong / Kano, Takuya / Koyasu, Hiromi / Li, Shuo / Zhou, Xinxin / Hara, Takeshi / Matsuo, Masayuki / Fujita, Hiroshi et al. | 2017
- 101342R
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Automated detection of microcalcification clusters in mammogramsKarale, Vikrant A. / Mukhopadhyay, Sudipta / Singh, Tulika / Khandelwal, Niranjan / Sadhu, Anup et al. | 2017
- 101342S
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Automated detection of masses on whole breast volume ultrasound scanner: false positive reduction using deep convolutional neural networkHiramatsu, Yuya / Muramatsu, Chisako / Kobayashi, Hironobu / Hara, Takeshi / Fujita, Hiroshi et al. | 2017
- 101342T
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Agreement between a computer-assisted tool and radiologists to classify lesions in breast elastography imagesMarcomini, Karem D. / Fleury, Eduardo F. C. / Oliveira, Vilmar M. / Carneiro, Antonio A. O. / Schiabel, Homero / Nishikawa, Robert M. et al. | 2017
- 101342U
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A new texture descriptor based on local micro-pattern for detection of architectural distortion in mammographic imagesde Oliveira, Helder C. R. / Moraes, Diego R. / Reche, Gustavo A. / Borges, Lucas R. / Catani, Juliana H. / de Barros, Nestor / Melo, Carlos F. E. / Gonzaga, Adilson / Vieira, Marcelo A. C. et al. | 2017
- 101342V
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The impact of using weight estimated from mammographic images vs. self-reported weight on breast cancer risk calculationNair, Kalyani P. / Harkness, Elaine F. / Gadde, Soujanye / Lim, Yit Y. / Maxwell, Anthony J. / Moschidis, Emmanouil / Foden, Philip / Cuzick, Jack / Brentnall, Adam / Evans, D. Gareth et al. | 2017
- 101342W
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Computer-aided diagnosis of mammographic masses using geometric verification-based image retrievalLi, Qingliang / Shi, Weili / Yang, Huamin / Zhang, Huimao / Li, Guoxin / Chen, Tao / Mori, Kensaku / Jiang, Zhengang et al. | 2017
- 101342X
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Can upstaging of ductal carcinoma in situ be predicted at biopsy by histologic and mammographic features?Shi, Bibo / Grimm, Lars J. / Mazurowski, Maciej A. / Marks, Jeffrey R. / King, Lorraine M. / Maley, Carlo C. / Hwang, E. Shelley / Lo, Joseph Y. et al. | 2017
- 101342Z
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Left ventricle segmentation in cardiac MRI images using fully convolutional neural networksVázquez Romaguera, Liset / Costa, Marly Guimarães Fernandes / Romero, Francisco Perdigón / Costa Filho, Cicero Ferreira Fernandes et al. | 2017
- 101343A
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Effect of two different preprocessing steps in detection of optic nerve head in fundus imagesTavakoli, Meysam / Nazar, Mahdieh / Mehdizadeh, Alireza et al. | 2017
- 101343B
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Retinal SD-OCT image-based pituitary tumor screeningHe, Min / Zhu, Weifang / Chen, Xinjian et al. | 2017
- 101343C
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Evaluation of age-related changes with cross-sectional CT imaging of teethFukui, Tatsumasa / Kita, Kanade / Kamemoto, Hiromasa / Nishiyama, Wataru / Yoshida, Hiroyasu / Iida, Yukihiro / Katsumata, Akitoshi / Muramatsu, Chisako / Fujita, Hiroshi et al. | 2017
- 101343D
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An introductory analysis of digital infrared thermal imaging guided oral cancer detection using multiresolution rotation invariant texture featuresChakraborty, M. / Das Gupta, R. / Mukhopadhyay, S. / Anjum, N. / Patsa, S. / Ray, J. G. et al. | 2017
- 101343E
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Tooth labeling in cone-beam CT using deep convolutional neural network for forensic identificationMiki, Yuma / Muramatsu, Chisako / Hayashi, Tatsuro / Zhou, Xiangrong / Hara, Takeshi / Katsumata, Akitoshi / Fujita, Hiroshi et al. | 2017
- 101343F
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Computer-assisted quantification of the skull deformity for craniosynostosis from 3D head CT images using morphological descriptor and hierarchical classificationLee, Min Jin / Hong, Helen / Shim, Kyu Won / Kim, Yong Oock et al. | 2017
- 101343G
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Applying a deep learning based CAD scheme to segment and quantify visceral and subcutaneous fat areas from CT imagesWang, Yunzhi / Qiu, Yuchen / Thai, Theresa / Moore, Kathleen / Liu, Hong / Zheng, Bin et al. | 2017
- 101343H
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An improved method for pancreas segmentation using SLIC and interactive region mergingZhang, Liyuan / Yang, Huamin / Shi, Weili / Miao, Yu / Li, Qingliang / He, Fei / He, Wei / Li, Yanfang / Zhang, Huimao / Mori, Kensaku et al. | 2017
- 101343I
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Advancements in automated tissue segmentation pipeline for contrast-enhanced CT scans of adult and pediatric patientsSomasundaram, Elanchezhian / Kaufman, Robert / Brady, Samuel et al. | 2017
- 101343J
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Texture analysis of common renal masses in multiple MR sequences for prediction of pathologyHoang, Uyen N. / Malayeri, Ashkan A. / Lay, Nathan S. / Summers, Ronald M. / Yao, Jianhua et al. | 2017
- 101343K
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The effects of TIS and MI on the texture features in ultrasonic fatty liver imagesZhao, Yuan / Cheng, Xinyao / Ding, Mingyue et al. | 2017
- 101343L
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Balance the nodule shape and surroundings: a new multichannel image based convolutional neural network scheme on lung nodule diagnosisSun, Wenqing / Zheng, Bin / Huang, Xia / Qian, Wei et al. | 2017
- 101343M
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Automatic lung nodule graph cuts segmentation with deep learning false positive reductionSun, Wenqing / Huang, Xia / Tseng, Tzu-Liang Bill / Qian, Wei et al. | 2017
- 101343N
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Detection of juxta-pleural lung nodules in computed tomography imagesAresta, Guilherme / Cunha, António / Campilho, Aurélio et al. | 2017
- 101343O
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Kernel descriptors for chest x-ray analysisOrbán, Gergely Gy. / Horváth, Gábor et al. | 2017
- 101343P
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A feasibility study of automatic lung nodule detection in chest digital tomosynthesis with machine learning based on support vector machineLee, Donghoon / Kim, Ye-seul / Choi, Sunghoon / Lee, Haenghwa / Jo, Byungdu / Choi, Seungyeon / Shin, Jungwook / Kim, Hee-Joung et al. | 2017
- 101343Q
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Risk prediction of small pulmonary nodules based on novel CT image texture markersHan, Fangfang / Song, Bowen / Ma, He / Qian, Wei / Liang, Zhengrong et al. | 2017
- 101343R
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Development and validation of a radiomics nomogram for progression-free survival prediction in stage IV EGFR-mutant non-small cell lung cancerSong, Jiangdian / Zang, Yali / Li, Weimin / Zhong, Wenzhao / Shi, Jingyun / Dong, Di / Fang, Mengjie / Liu, Zaiyi / Tian, Jie et al. | 2017
- 101343S
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Airway extraction from 3D chest CT volumes based on iterative extension of VOI enhanced by cavity enhancement filterMeng, Qier / Kitasaka, Takayuki / Oda, Masahiro / Mori, Kensaku et al. | 2017
- 101343T
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A study of retrieval accuracy of pulmonary nodules based on external attachmentDhara, Ashis Kumar / Mukhopadhyay, Sudipta / Mehre, Shrikant A. / Khandelwal, Niranjan / Prabhakar, Nidhi / Garg, Mandeep / Kalra, Naveen et al. | 2017
- 101343U
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An experimental study of interstitial lung tissue classification in HRCT images using ANN and role of cost functionsDash, Jatindra K. / Kale, Mandar / Mukhopadhyay, Sudipta / Khandelwal, Niranjan / Prabhakar, Nidhi / Garg, Mandeep / Kalra, Naveen et al. | 2017
- 101343V
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Volume calculation of CT lung lesions based on Halton low-discrepancy sequencesLi, Shusheng / Wang, Liansheng / Li, Shuo et al. | 2017
- 101343W
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Distant failure prediction for early stage NSCLC by analyzing PET with sparse representationHao, Hongxia / Zhou, Zhiguo / Wang, Jing et al. | 2017
- 101343X
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Automatic thoracic body region localizationBai, PeiRui / Udupa, Jayaram K. / Tong, YuBing / Xie, ShiPeng / Torigian, Drew A. et al. | 2017
- 101343Y
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A new method for predicting CT lung nodule volume measurement performanceAvila, Ricardo S. / Jirapatnakul, Artit / Subramaniam, Raja / Yankelevitz, David et al. | 2017
- 101343Z
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Building confidence and credibility into CAD with belief decision treesAffenit, Rachael N. / Barns, Erik R. / Furst, Jacob D. / Rasin, Alexander / Raicu, Daniela S. et al. | 2017
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Prostate lesion detection and localization based on locality alignment discriminant analysisLin, Mingquan / Chen, Weifu / Zhao, Mingbo / Gibson, Eli / Bastian-Jordan, Matthew / Cool, Derek W. / Kassam, Zahra / Chow, Tommy W. S. / Ward, Aaron / Chiu, Bernard et al. | 2017
- 101344B
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Comparison of classification methods for voxel-based prediction of acute ischemic stroke outcome following intra-arterial interventionWinder, Anthony J. / Siemonsen, Susanne / Flottmann, Fabian / Fiehler, Jens / Forkert, Nils D. et al. | 2017
- 101344C
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A hybrid 3D region growing and 4D curvature analysis-based automatic abdominal blood vessel segmentation through contrast enhanced CTMaklad, Ahmed S. / Matsuhiro, Mikio / Suzuki, Hidenobu / Kawata, Yoshiki / Niki, Noboru / Shimada, Mitsuo / Iinuma, Gen et al. | 2017
- 101344D
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Classification of bifurcations regions in IVOCT images using support vector machine and artificial neural network modelsPorto, C. D. N. / Costa Filho, C. F. F. / Macedo, M. M. G. / Gutierrez, M. A. / Costa , M. G. F. et al. | 2017
- 101344E
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Evaluation of a processing scheme for calcified atheromatous carotid artery detection in face/neck CBCT imagesMatheus, B. R. N. / Centurion, B. S. / Rubira-Bullen, I. R. F. / Schiabel, H. et al. | 2017
- 101344F
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A transfer learning approach for classification of clinical significant prostate cancers from mpMRI scansChen, Quan / Xu, Xiang / Hu, Shiliang / Li, Xiao / Zou, Qing / Li, Yunpeng et al. | 2017
- 101344G
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PROSTATEx: Prostate MR Classification Challenge (Conference Presentation)Armato, Samuel G. / Petrick, Nicholas A. / Drukker, Karen et al. | 2017
- 101344I
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Digital Mammography DREAM Challenge Overview (Conference Presentation)Sahiner, Berkman et al. | 2017
- 101344J
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Digital Mammography DREAM Challenge: Participant Experience 1 (Conference Presentation)Nikulin, Yaroslav et al. | 2017
- 101344K
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Digital Mammography DREAM Challenge: Participant Experience 2 (Conference Presentation)Costa Pereira, Jose et al. | 2017
- 1013401
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Front Matter: Volume 10134| 2017
- 1013402
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Segmentation of inner and outer bladder wall using deep-learning convolutional neural network in CT urographyGordon, Marshall / Hadjiiski, Lubomir / Cha, Kenny / Chan, Heang-Ping / Samala, Ravi / Cohan, Richard H. / Caoili, Elaine M. et al. | 2017
- 1013403
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Computer-aided detection of bladder masses in CT urography (CTU)Cha, Kenny H. / Hadjiiski, Lubomir M. / Chan, Heang-Ping / Caoili, Elaine M. / Cohan, Richard H. / Weizer, Alon / Samala, Ravi K. et al. | 2017
- 1013404
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Bladder cancer treatment response assessment using deep learning in CT with transfer learningCha, Kenny H. / Hadjiiski, Lubomir M. / Chan, Heang-Ping / Samala, Ravi K. / Cohan, Richard H. / Caoili, Elaine M. / Paramagul, Chintana / Alva, Ajjai / Weizer, Alon Z. et al. | 2017
- 1013405
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Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance imagesTsehay, Yohannes K. / Lay, Nathan S. / Roth, Holger R. / Wang, Xiaosong / Kwak, Jin Tae / Turkbey, Baris I. / Pinto, Peter A. / Wood, Brad J. / Summers, Ronald M. et al. | 2017
- 1013406
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Quantification of oxygen changes in the placenta from BOLD MR image sequencesPorras, Antonio R. / Piella, Gemma / You, Wonsang / Limperopoulos, Catherine / Linguraru, Marius George et al. | 2017
- 1013407
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Cascade of convolutional neural networks for lung texture classification: overcoming ontological overlappingTarando, Sebastian Roberto / Fetita, Catalin / Brillet, Pierre-Yves et al. | 2017
- 1013408
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Identification of early-stage usual interstitial pneumonia from low-dose chest CT scans using fractional high-density lung distributionXie, Yiting / Salvatore, Mary / Liu, Shuang / Jirapatnakul, Artit / Yankelevitz, David F. / Henschke, Claudia I. / Reeves, Anthony P. et al. | 2017
- 1013409
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3D convolutional neural network for automatic detection of lung nodules in chest CTHamidian, Sardar / Sahiner, Berkman / Petrick, Nicholas / Pezeshk, Aria et al. | 2017
- 1013410
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Preoperative assessment of microvascular invasion in hepatocellular carcinomaChakraborty, Jayasree / Zheng, Jian / Gönen, Mithat / Jarnagin, William R. / DeMatteo, Ronald P. / Do, Richard K. G. / Simpson, Amber L. et al. | 2017
- 1013411
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Combination of lateral and PA view radiographs to study development of knee OA and associated painMinciullo, Luca / Thomson, Jessie / Cootes, Timothy F. et al. | 2017
- 1013412
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Characterizing cartilage microarchitecture on phase-contrast x-ray computed tomography using deep learning with convolutional neural networksDeng, Botao / Abidin, Anas Z. / D'Souza, Adora M. / Nagarajan, Mahesh B. / Coan, Paola / Wismüller, Axel et al. | 2017
- 1013413
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Classification of micro-CT images using 3D characterization of bone canal patterns in human osteogenesis imperfectaAbidin, Anas Z. / Jameson, John / Molthen, Robert / Wismüller, Axel et al. | 2017
- 1013414
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Automated melanoma recognition in dermoscopic images based on extreme learning machine (ELM)Rahman, Md. Mahmudur / Alpaslan, Nuh et al. | 2017
- 1013415
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FDA's role in the innovation and evaluation of evolving CAD solutions (Conference Presentation)Myers, Kyle J. et al. | 2017
- 1013416
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Organ detection in thorax abdomen CT using multi-label convolutional neural networksHumpire Mamani, Gabriel Efrain / Setio, Arnaud Arindra Adiyoso / van Ginneken, Bram / Jacobs, Colin et al. | 2017
- 1013417
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Mammographic phenotypes of breast cancer risk driven by breast anatomyGastounioti, Aimilia / Oustimov, Andrew / Hsieh, Meng-Kang / Pantalone, Lauren / Conant, Emily F. / Kontos, Despina et al. | 2017
- 1013418
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Validation of an image registration and segmentation method to measure stent graft motion on ECG-gated CT using a physical dynamic stent graft modelKoenrades, Maaike A. / Struijs, Ella M. / Klein, Almar / Kuipers, Henny / Geelkerken, Robert H. / Slump, Cornelis H. et al. | 2017
- 1013419
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Automatic detection and quantification of pulmonary arterio-venous malformations in hereditary hemorrhagic telangiectasiaFetita, Catalin / Fortemps de Loneux, Thierry / Kouvahe, Amélé Florence / El Hajjam, Mostafa et al. | 2017
- 1013420
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Automatic cerebrospinal fluid segmentation in non-contrast CT images using a 3D convolutional networkPatel, Ajay / van de Leemput, Sil C. / Prokop, Mathias / van Ginneken, Bram / Manniesing, Rashindra et al. | 2017
- 1013421
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Automated assessment of imaging biomarkers for the PanCan lung cancer risk prediction model with validation on NLST dataWiemker, Rafael / Sevenster, Merlijn / MacMahon, Heber / Li, Feng / Dalal, Sandeep / Tahmasebi, Amir / Klinder, Tobias et al. | 2017
- 1013422
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Quantitative analysis of CT attenuation distribution patterns of nodule components for pathologic categorization of lung nodulesZhou, Chuan / Chan, Heang-Ping / Wei, Jun / Hadjiiski, Lubomir M. / Chughtai, Aamer / Kazerooni, Ella A. et al. | 2017
- 1013423
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Contextual convolutional neural networks for lung nodule classification using Gaussian-weighted average image patchesLee, Haeil / Lee, Hansang / Park, Minseok / Kim, Junmo et al. | 2017
- 1013424
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Lung nodule malignancy prediction using multi-task convolutional neural networkLi, Xiuli / Kao, Yueying / Shen, Wei / Li, Xiang / Xie, Guotong et al. | 2017
- 1013425
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Predictive capabilities of statistical learning methods for lung nodule malignancy classification using diagnostic image features: an investigation using the Lung Image Database Consortium datasetHancock, Matthew C. / Magnan, Jerry F. et al. | 2017
- 1013426
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Developing a radiomics framework for classifying non-small cell lung carcinoma subtypesYu, Dongdong / Zang, Yali / Dong, Di / Zhou, Mu / Gevaert, Olivier / Fang, Mengjie / Shi, Jingyun / Tian, Jie et al. | 2017
- 1013427
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Support vector machines for prostate lesion classificationKitchen, Andy / Seah, Jarrel et al. | 2017
- 1013428
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Prostate cancer diagnosis using deep learning with 3D multiparametric MRILiu, Saifeng / Zheng, Huaixiu / Feng, Yesu / Li, Wei et al. | 2017
- 1013429
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Detection of prostate cancer on multiparametric MRISeah, Jarrel C. Y. / Tang, Jennifer S. N. / Kitchen, Andy et al. | 2017
- 1013430
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A novel 3D shape descriptor for automatic retrieval of anatomical structures from medical imagesNunes, Fátima L. S. / Bergamasco, Leila C. C. / Delmondes, Pedro H. / Valverde, Miguel A. G. / Jackowski, Marcel P. et al. | 2017
- 1013431
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Application of convolutional artificial neural networks to echocardiograms for differentiating congenital heart diseases in a pediatric populationPerrin, Douglas P. / Bueno, Alejandra / Rodriguez, Andrea / Marx, Gerald R. / del Nido, Pedro J. et al. | 2017
- 1013432
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Fully automated calculation of cardiothoracic ratio in digital chest radiographsCong, Lin / Jiang, Luan / Chen, Gang / Li, Qiang et al. | 2017
- 1013433
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Automatic grade classification of Barretts Esophagus through feature enhancementGhatwary, Noha / Ahmed, Amr / Ye, Xujiong / Jalab, Hamid et al. | 2017
- 1013434
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False positive reduction for wall thickness-based detection of colonic flat polyps via CT colonographyPomeroy, Marc / Li, Lihong C. / Han, Hao / Wei, Xinzhou / Pickhardt, Perry J. / Liang, Zhengrong et al. | 2017
- 1013435
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A new framework for detection of initial flat polyp candidates based on a dual level set competition modelWang, Huafeng / Li, Lihong C. / Wei, Xinzhou / Liu, Wanquan / Wang, Yuehai / Liang, Zhengrong et al. | 2017
- 1013436
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Electronic cleansing for CT colonography using spectral-driven iterative reconstructionNasirudin, Radin A. / Näppi, Janne J. / Hironaka, Toru / Tachibana, Rie / Yoshida, Hiroyuki et al. | 2017
- 1013437
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Retinal health information and notification system (RHINO)Dashtbozorg, Behdad / Zhang, Jiong / Abbasi-Sureshjani, Samaneh / Huang, Fan / ter Haar Romeny, Bart M. et al. | 2017
- 1013438
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Automated detection of nerve fiber layer defects on retinal fundus images using fully convolutional network for early diagnosis of glaucomaWatanabe, Ryusuke / Muramatsu, Chisako / Ishida, Kyoko / Sawada, Akira / Hatanaka, Yuji / Yamamoto, Tetsuya / Fujita, Hiroshi et al. | 2017
- 1013439
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Inferring diagnosis and trajectory of wet age-related macular degeneration from OCT imagery of retinaIrvine, John M. / Ghadar, Nastaran / Duncan, Steve / Floyd, David / O'Dowd, David / Lin, Kristie / Chang, Tom et al. | 2017
- 1013440
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Compression fractures detection on CTBar, Amir / Wolf, Lior / Bergman Amitai, Orna / Toledano, Eyal / Elnekave, Eldad et al. | 2017
- 1013441
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Detection of a slow-flow component in contrast-enhanced ultrasound of the synovia for the differential diagnosis of arthritisRizzo, Gaia / Tonietto, Matteo / Castellaro, Marco / Raffeiner, Bernd / Coran, Alessandro / Fiocco, Ugo / Stramare, Roberto / Grisan, Enrico et al. | 2017
- 1013442
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Automated analysis of whole skeletal muscle for muscular atrophy detection of ALS in whole-body CT images: preliminary studyKamiya, Naoki / Ieda, Kosuke / Zhou, Xiangrong / Yamada, Megumi / Kato, Hiroki / Muramatsu, Chisako / Hara, Takeshi / Miyoshi, Toshiharu / Inuzuka, Takashi / Matsuo, Masayuki et al. | 2017
- 1013443
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Automated grading of lumbar disc degeneration via supervised distance metric learningHe, Xiaoxu / Landis, Mark / Leung, Stephanie / Warrington, James / Shmuilovich, Olga / Li, Shuo et al. | 2017
- 1013444
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Individual bone structure segmentation and labeling from low-dose chest CTLiu, Shuang / Xie, Yiting / Reeves, Anthony P. et al. | 2017
- 1013445
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Can multivariate models based on MOAKS predict OA knee pain? Data from the Osteoarthritis InitiativeLuna-Gómez, Carlos D. / Zanella-Calzada, Laura A. / Galván-Tejada, Jorge I. / Galván-Tejada, Carlos E. / Celaya-Padilla, José M. et al. | 2017
- 1013446
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Automatic lumbar spine measurement in CT imagesMao, Yunxiang / Zheng, Dong / Liao, Shu / Peng, Zhigang / Yan, Ruyi / Liu, Junhua / Dong, Zhongxing / Gong, Liyan / Zhou, Xiang Sean / Zhan, Yiqiang et al. | 2017
- 1013447
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Automatic vertebral bodies detection of x-ray images using invariant multiscale template matchingSharifi Sarabi, Mona / Villaroman, Diane / Beckett, Joel / Attiah, Mark / Marcus, Logan / Ahn, Christine / Babayan, Diana / Gaonkar, Bilwaj / Macyszyn, Luke / Raghavendra, Cauligi et al. | 2017
- 1013448
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Automatic segmentation of lumbar vertebrae in CT imagesKulkarni, Amruta / Raina, Akshita / Sharifi Sarabi, Mona / Ahn, Christine S. / Babayan, Diana / Gaonkar, Bilwaj / Macyszyn, Luke / Raghavendra, Cauligi et al. | 2017
- 1013449
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Apply radiomics approach for early stage prognostic evaluation of ovarian cancer patients: a preliminary studyDanala, Gopichandh / Wang, Yunzhi / Thai, Theresa / Gunderson, Camille / Moxley, Katherine / Moore, Kathleen / Mannel, Robert / Liu, Hong / Zheng, Bin / Qiu, Yuchen et al. | 2017