Table of Contents

• Deep learning in the small sample size setting: cascaded feed forward neural networks for medical image segmentationBilwaj Gaonkar, David Hovda, Neil Martin, Luke Macyszyn. [doi]
• Automatic aortic root segmentation in CTA whole-body datasetXinpei Gao, Pieter H. Kitslaar, Arthur J. H. A. Scholte, Boudewijn P. F. Lelieveldt, Jouke Dijkstra, Johan H. C. Reiber. [doi]
• An automated lung nodule detection system for CT images using synthetic minority oversamplingShrikant A. Mehre, Sudipta Mukhopadhyay, Anirvan Dutta, Nagam Chaithan Harsha, Ashis Kumar Dhara, Niranjan Khandelwal. [doi]
• Quantitative breast MRI radiomics for cancer risk assessment and the monitoring of high-risk populationsKayla R. Mendel, Hui Li, Maryellen L. Giger. [doi]
• Automatic detection of ureter lesions in CT urographyTrevor Exell, Lubomir M. Hadjiiski, Heang-Ping Chan, Kenny H. Cha, Elaine M. Caoili, Richard H. Cohan, Jun Wei 0002, Chuan Zhou. [doi]
• Computerized scheme for vertebra detection in CT scout imageWei Guo, Qiang Chen, Hanxun Zhou, Guodong Zhang, Lin Cong, Qiang Li. [doi]
• Atorvastatin effect evaluation based on feature combination of three-dimension ultrasound imagesYongkang Luo, Mingyue Ding. [doi]
• Parameter optimization of parenchymal texture analysis for prediction of false-positive recalls from screening mammographyShonket Ray, Brad M. Keller, Jinbo Chen, Emily F. Conant, Despina Kontos. [doi]
• Intensity targeted radial structure tensor analysis and its application for automated mediastinal lymph node detection from CT volumesHirohisa Oda, Yukitaka Nimura, Masahiro Oda, Takayuki Kitasaka, Shingo Iwano, Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Kensaku Mori. [doi]
• Effects of CT dose and nodule characteristics on lung-nodule detectability in a cohort of 90 national lung screening trial patientsStefano Young, Pechin Lo, John M. Hoffman, H. J. Grace Kim, Matthew S. Brown, Michael F. McNitt-Gray. [doi]
• Predicting outcomes in glioblastoma patients using computerized analysis of tumor shape: preliminary dataMaciej A. Mazurowski, Nicholas M. Czarnek, Leslie M. Collins, Katherine B. Peters, Kal Clark. [doi]
• Multispectral imaging burn wound tissue classification system: a comparison of test accuracies between several common machine learning algorithmsJohn J. Squiers, Weizhi Li, Darlene R. King, Weirong Mo, Xu Zhang, Yang Lu, Eric W. Sellke, Wensheng Fan, J. Michael DiMaio, Jeffrey E. Thatcher. [doi]
• Differentiation of several interstitial lung disease patterns in HRCT images using support vector machine: role of databases on performanceMandar Kale, Sudipta Mukhopadhyay, Jatindra Kumar Dash, Mandeep Garg, Niranjan Khandelwal. [doi]
• Quantification of mammographic masking risk with volumetric breast density maps: how to select women for supplemental screeningKatharina Holland, Carla H. van Gils, Johanna O. P. Wanders, Ritse M. Mann, Nico Karssemeijer. [doi]
• Classification of pulmonary nodules in lung CT images using shape and texture featuresAshis Kumar Dhara, Sudipta Mukhopadhyay, Anirvan Dutta, Mandeep Garg, Niranjan Khandelwal, Prafulla Kumar. [doi]
• Learning evaluation of ultrasound image segmentation using combined measuresMengjie Fang, Yongkang Luo, Mingyue Ding. [doi]
• A fully automatic framework for cell segmentation on non-confocal adaptive optics imagesJianfei Liu, Alfredo Dubra, Johnny Tam. [doi]
• Automated blood vessel extraction using local features on retinal imagesYuji Hatanaka, Kazuki Samo, Mikiya Tajima, Kazunori Ogohara, Chisako Muramatsu, Susumu Okumura, Hiroshi Fujita 0001. [doi]
• Glioma grading using cell nuclei morphologic features in digital pathology imagesSyed M. S. Reza, Khan M. Iftekharuddin. [doi]
• A diagnosis model for early Tourette syndrome children based on brain structural network characteristicsHongwei Wen, Yue Liu, Jieqiong Wang, Jishui Zhang, Yun Peng, Huiguang He. [doi]
• Decision forests for learning prostate cancer probability maps from multiparametric MRIHenry R. Ehrenberg, Daniel Cornfeld, Cayce B. Nawaf, Preston C. Sprenkle, James S. Duncan. [doi]
• Improvement of retinal blood vessel detection by spur removal and Gaussian matched filtering compensationDi Xiao, Janardhan Vignarajan, Dong An, Mei-Ling Tay-Kearney, Yogi Kanagasingam. [doi]
• Deep-learning convolution neural network for computer-aided detection of microcalcifications in digital breast tomosynthesisRavi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Kenny H. Cha, Mark A. Helvie. [doi]
• Parenchymal texture measures weighted by breast anatomy: preliminary optimization in a case-control studyAimilia Gastounioti, Brad M. Keller, Meng Kang Hsieh, Emily F. Conant, Despina Kontos. [doi]
• Detection of soft tissue densities from digital breast tomosynthesis: comparison of conventional and deep learning approachesSergei V. Fotin, Yin Yin, Hrishikesh Haldankar, Jeffrey W. Hoffmeister, Senthil Periaswamy. [doi]
• Fusion of multi-parametric MRI and temporal ultrasound for characterization of prostate cancer: in vivo feasibility studyFarhad Imani, Sahar Ghavidel, Purang Abolmaesumi, Siavash Khallaghi, Eli Gibson, Amir Khojaste, Mena Gaed, Madeleine Moussa, Jose A. Gomez, Cesare Romagnoli, Derek W. Cool, Matthew Bastian-Jordan, Zahra Kassam, D. Robert Siemens, Michael Leveridge, Silvia D. Chang, Aaron Fenster, Aaron D. Ward, Parvin Mousavi. [doi]
• Improving the performance of lesion-based computer-aided detection schemes of breast masses using a case-based adaptive cueing methodMaxine Tan, Faranak Aghaei, Yunzhi Wang, Wei Qian, Bin Zheng. [doi]
• Finding regional models of the Alzheimer disease by fusing information from neuropsychological tests and structural MR imagesDiana L. Giraldo, Juan D. García-Arteaga, Eduardo Romero. [doi]
• Automated linking of suspicious findings between automated 3D breast ultrasound volumesAlbert Gubern-Mérida, Tao Tan, Jan van Zelst, Ritse M. Mann, Nico Karssemeijer. [doi]
• Image segmentation evaluation for very-large datasetsAnthony P. Reeves, Shuang Liu, Yiting Xie. [doi]
• Computer-aided detection of bladder mass within non-contrast-enhanced region of CT Urography (CTU)Kenny H. Cha, Lubomir M. Hadjiiski, Heang-Ping Chan, Elaine M. Caoili, Richard H. Cohan, Alon Z. Weizer, Chuan Zhou. [doi]
• Automated morphological analysis of bone marrow cells in microscopic images for diagnosis of leukemia: nucleus-plasma separation and cell classification using a hierarchical tree model of hematopoesisSebastian Krappe, Thomas Wittenberg, Torsten Haferlach, Christian Münzenmayer. [doi]
• Predicting Ki67% expression from DCE-MR images of breast tumors using textural kinetic features in tumor habitatsBaishali Chaudhury, Mu Zhou, Hamidreza Farhidzadeh, Dmitry B. Goldgof, Lawrence O. Hall, Robert A. Gatenby, Robert J. Gillies, Robert J. Weinfurtner, Jennifer S. Drukteinis. [doi]
• Classification of SD-OCT volumes for DME detection: an anomaly detection approachS. Sankar, Désiré Sidibé, Y. Cheung, T. Y. Wong, Ecosse Lamoureux, Dan Milea, Fabrice Mériaudeau. [doi]
• Phenotypic characterization of glioblastoma identified through shape descriptorsAhmad Chaddad, Christian Desrosiers, Matthew Toews. [doi]
• Automated torso organ segmentation from 3D CT images using conditional random fieldYukitaka Nimura, Yuichiro Hayashi, Takayuki Kitasaka, Kazunari Misawa, Kensaku Mori. [doi]
• Computer-aided diagnosis for osteoporosis using chest 3D CT imagesK. Yoneda, Mikio Matsuhiro, H. Suzuki, Yoshiki Kawata, Noboru Niki, Y. Nakano, Hironobu Ohmatsu, Masahiko Kusumoto, T. Tsuchida, Kenji Eguchi, M. Kaneko. [doi]
• Detection and measurement of retinal blood vessel pulsatile motionDi Xiao, Shaun Frost, Janardhan Vignarajan, Dong An, Mei-Ling Tay-Kearney, Yogi Kanagasingam. [doi]
• Deep convolutional networks for automated detection of posterior-element fractures on spine CTHolger R. Roth, Yinong Wang, Jianhua Yao, Le Lu, Joseph E. Burns, Ronald M. Summers. [doi]
• Using support vector machines with tract-based spatial statistics for automated classification of Tourette syndrome childrenHongwei Wen, Yue Liu, Jieqiong Wang, Jishui Zhang, Yun Peng, Huiguang He. [doi]
• Automated detection of retinal whitening in malarial retinopathyVinayak Joshi, Carla Agurto, E. Simon Barriga, Sheila C. Nemeth, Peter Soliz, I. MacCormick, T. Taylor, S. Lewallen, S. Harding. [doi]
• Radiomics versus physician assessment for the early prediction of local cancer recurrence after stereotactic radiotherapy for lung cancerSarah A. Mattonen, Carol Johnson, David A. Palma, George Rodrigues, Alexander V. Louie, Suresh Senan, Timothy P. C. Yeung, Aaron D. Ward. [doi]
• Automated recognition of the iliac muscle and modeling of muscle fiber direction in torso CT imagesNaoki Kamiya, X. Zhou, K. Azuma, Chisako Muramatsu, T. Hara, Hiroshi Fujita 0001. [doi]
• Early esophageal cancer detection using RF classifiersMarkus H. A. Janse, Fons van der Sommen, Svitlana Zinger, Erik J. Schoon, Peter H. N. de With. [doi]
• Automated metastatic brain lesion detection: a computer aided diagnostic and clinical research toolJeremy Devine, Arjun Sahgal, Irene Karam, Anne L. Martel. [doi]
• Differentiating bladder carcinoma from bladder wall using 3D textural features: an initial studyXiaopan Xu, Xi Zhang, Yang Liu, Qiang Tian, Guopeng Zhang, Hongbing Lu. [doi]
• Quantitative characterization of brain β-amyloid in 718 normal subjects using a joint PiB/FDG PET image histogramJon J. Camp, Dennis P. Hanson, Val J. Lowe, Bradley J. Kemp, Matthew L. Senjem, Melissa E. Murray, Dennis W. Dickson, Joseph E. Parisi, Ronald C. Petersen, Richard A. Robb, David R. Holmes III. [doi]
• Radiogenomics of glioblastoma: a pilot multi-institutional study to investigate a relationship between tumor shape features and tumor molecular subtypeNicholas M. Czarnek, Kal Clark, Katherine B. Peters, Leslie M. Collins, Maciej A. Mazurowski. [doi]
• Colitis detection on abdominal CT scans by rich feature hierarchiesJiamin Liu, Nathan Lay, Zhuoshi Wei, Le Lu, Lauren Kim, Evrim Turkbey, Ronald M. Summers. [doi]
• Reliable measurement of 3D foot bone angles based on the frame-of-reference derived from a sole of the footTaeho Kim, Dong-Yeon Lee, Jinah Park. [doi]
• Automatic anatomy recognition on CT images with pathologyLidong Huang, Jayaram K. Udupa, Yubing Tong, Dewey Odhner, Drew A. Torigian. [doi]
• A toolbox to visually explore cerebellar shape changes in cerebellar disease and dysfunctionSayed Mazdak Abulnaga, Zhen Yang, Aaron Carass, Kalyani Kansal, Bruno M. Jedynak, Chiadi U. Onyike, Sarah H. Ying, Jerry L. Prince. [doi]
• Computer aided lung cancer diagnosis with deep learning algorithmsWenqing Sun, Bin Zheng, Wei Qian. [doi]
• Multi-atlas segmentation of the cartilage in knee MR images with sequential volume- and bone-mask-based registrationsHansang Lee, Hyeun A. Kim, Hyeonjin Kim, Helen Hong, Young-Cheol Yoon, Junmo Kim. [doi]
• Prognosis classification in glioblastoma multiforme using multimodal MRI derived heterogeneity textural features: impact of pre-processing choicesTaman Upadhaya, Yannick Morvan, Eric Stindel, Pierre-Jean Le Reste, Mathieu Hatt. [doi]
• Improving vertebra segmentation through joint vertebra-rib atlasesYinong Wang, Jianhua Yao, Holger R. Roth, Joseph E. Burns, Ronald M. Summers. [doi]
• Computer-aided detection of human cone photoreceptor inner segments using multi-scale circular votingJianfei Liu, Alfredo Dubra, Johnny Tam. [doi]
• Machine-learning based comparison of CT-perfusion maps and dual energy CT for pancreatic tumor detectionMichael Götz, Stephan Skornitzke, Christian Weber, Franziska Fritz, Philipp Mayer, Marco Koell, Wolfram Stiller, Klaus H. Maier-Hein. [doi]
• Acne image analysis: lesion localization and classificationFazly Salleh Abas, Benjamin Kaffenberger, Joseph Bikowski, Metin N. Gurcan. [doi]
• Medical sieve: a cognitive assistant for radiologists and cardiologistsTanveer F. Syeda-Mahmood, Eugene Walach, David Beymer, F. Gilboa-Solomon, M. Moradi, Pavel Kisilev, Deepika Kakrania, Colin B. Compas, H. Wang, Mohammadreza Negahdar, Y. Cao, T. Baldwin, Y. Guo, Yaniv Gur, D. Rajan, Aviad Zlotnick, Simona Rabinovici-Cohen, Rami Ben-Ari, Guy Amit, P. Prasanna, J. Morey, Orest B. Boyko, Sharbell Y. Hashoul. [doi]
• Identification, segmentation, and characterization of microcalcifications on mammographyKaren Drukker, Serghei Malkov, Jesús Ávila, Karla Kerlikowske, Bonnie N. Joe, Gregor Krings, Jennifer Creasman, Jennifer S. Drukteinis, Malesa M. Pereira, Leila Kazemi, John Shepherd, Maryellen L. Giger. [doi]
• A novel approach for tuberculosis screening based on deep convolutional neural networksSangheum Hwang, Hyo-Eun Kim, Jihoon Jeong, Hee-jin Kim. [doi]
• Ensemble lymph node detection from CT volumes combining local intensity structure analysis approach and appearance learning approachYoshihiko Nakamura, Yukitaka Nimura, Masahiro Oda, Takayuki Kitasaka, Kazuhiro Furukawa, Hidemi Goto, Michitaka Fujiwara, Kazunari Misawa, Kensaku Mori. [doi]
• Interactive computer-assisted approach for evaluation of ultrastructural cilia abnormalitiesChristoph Palm, Heiko Siegmund, Matthias Semmelmann, Claudia Grafe, Matthias Evert, Josef A. Schroeder. [doi]
• Seamless lesion insertion in digital mammography: methodology and reader studyAria Pezeshk, Nicholas Petrick, Berkman Sahiner. [doi]
• Maximal area and conformal welding heuristics for optimal slice selection in splenic volume estimationIevgeniia Gutenko, Hao Peng, Xianfeng Gu, Matthew Barish, Arie E. Kaufman. [doi]
• A fully automated system for quantification of background parenchymal enhancement in breast DCE-MRIMehmet Ufuk Dalmis, Albert Gubern-Mérida, Cristina Borelli, Suzan Vreemann, Ritse M. Mann, Nico Karssemeijer. [doi]
• An integrated classifier for computer-aided diagnosis of colorectal polyps based on random forest and location index strategiesYifan Hu, Hao Han, Wei Zhu, Lihong C. Li, Perry J. Pickhardt, Zhengrong Liang. [doi]
• Sweet-spot training for early esophageal cancer detectionFons van der Sommen, Svitlana Zinger, Erik J. Schoon, Peter H. N. de With. [doi]
• A B-spline image registration based CAD scheme to evaluate drug treatment response of ovarian cancer patientsMaxine Tan, Zheng Li, Kathleen N. Moore, Theresa C. Thai, Kai Ding, Hong Liu, Bin Zheng. [doi]
• 3D texture-based classification applied on brain white matter lesions on MR imagesMariana Leite, David Gobbi, Marina Salluzi, Richard Frayne, Roberto de Alencar Lotufo, Letícia Rittner. [doi]
• A machine learning approach for classification of anatomical coverage in CTXiaoyong Wang, Pechin Lo, Bharath Ramakrishna, Johnathan Goldin, Matthew Brown. [doi]
• Semi-automatic assessment of pediatric hydronephrosis severity in 3D ultrasoundJuan J. Cerrolaza, Hansel Otero, Peter Yao, Elijah Biggs, Awais Mansoor, Roberto Ardon, James Jago, Craig A. Peters, Marius George Linguraru. [doi]
• Segmentation of hepatic artery in multi-phase liver CT using directional dilation and connectivity analysisLei Wang 0025, Alena-Kathrin Schnurr, Stephan Zidowitz, Joachim Georgii, Yue Zhao, Mohammad Razavi, Michael Schwier, Horst K. Hahn, Christian Hansen 0001. [doi]
• Computerized flow and vessel wall analyses of coronary arteries for detection of non-calcified plaques in coronary CT angiographyJun Wei 0002, Chuan Zhou, Heang-Ping Chan, Aamer Chughtai, Prachi Pragya Agarwal, Lubomir M. Hadjiiski, Ella A. Kazerooni. [doi]
• Applying quantitative adiposity feature analysis models to predict benefit of bevacizumab-based chemotherapy in ovarian cancer patientsYunzhi Wang, Yuchen Qiu, Theresa C. Thai, Kathleen More, Kai Ding, Hong Liu, Bin Zheng. [doi]
• Segmentation and determination of joint space width in foot radiographsO. Schenk, D. M. de Muinck Keizer, H. J. Bernelot Moens, C. H. Slump. [doi]
• Phantom-less bone mineral density (BMD) measurement using dual energy computed tomography-based 3-material decompositionPhilipp Hofmann, Martin Sedlmair, Bernhard Krauss, Julian L. Wichmann, Ralf W. Bauer, Thomas G. Flohr, Andreas H. Mahnken. [doi]
• Fully automated segmentation of left ventricle using dual dynamic programming in cardiac cine MR imagesLuan Jiang, Shan Ling, Qiang Li. [doi]
• Classification of melanoma lesions using sparse coded features and random forestsMojdeh Rastgoo, Guillaume Lemaitre, Olivier Morel, Joan Massich, Rafael García, Fabrice Mériaudeau, Franck Marzani, Désiré Sidibé. [doi]
• Localized Fisher vector representation for pathology detection in chest radiographsOfer Geva, Sivan Lieberman, Eli Konen, Hayit Greenspan. [doi]
• Automatic quantification of mammary glands on non-contrast x-ray CT by using a novel segmentation approachXiangrong Zhou, Takuya Kano, Yunliang Cai, Shuo Li, Xinxin Zhou, Takeshi Hara, Ryujiro Yokoyama, Hiroshi Fujita 0001. [doi]
• Reference state estimation of breast computed tomography for registration with digital mammographyRavi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Ruola Ning, Kenny H. Cha, Mark A. Helvie. [doi]
• A new paradigm of oral cancer detection using digital infrared thermal imagingM. Chakraborty, S. Mukhopadhyay, A. Dasgupta, Swapna Banerjee, S. Mukhopadhyay, S. Patsa, J. G. Ray, K. Chaudhuri. [doi]
• Classification of progression free survival with nasopharyngeal carcinoma tumorsHamidreza Farhidzadeh, Joo Y. Kim, Jacob G. Scott, Dmitry B. Goldgof, Lawrence O. Hall, Louis B. Harrison. [doi]
• A primitive study of voxel feature generation by multiple stacked denoising autoencoders for detecting cerebral aneurysms on MRAMitsutaka Nemoto, Naoto Hayashi, Shouhei Hanaoka, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Kuni Ohtomo. [doi]
• Segmentation of knee MRI using structure enhanced local phase filteringMikhiel Lim, Ilker Hacihaliloglu. [doi]
• Applying a radiomics approach to predict prognosis of lung cancer patientsNastaran Emaminejad, Shiju Yan, Yunzhi Wang, Wei Qian, Yubao Guan, Bin Zheng. [doi]
• Benign-malignant mass classification in mammogram using edge weighted local texture featuresRinku Rabidas, Abhishek Midya, Anup Sadhu, Jayasree Chakraborty. [doi]
• Increasing cancer detection yield of breast MRI using a new CAD scheme of mammogramsMaxine Tan, Faranak Aghaei, Alan B. Hollingsworth, Rebecca G. Stough, Hong Liu, Bin Zheng. [doi]
• Increasing CAD system efficacy for lung texture analysis using a convolutional networkSebastian Roberto Tarando, Catalin I. Fetita, Alex Faccinetto, Pierre-Yves Brillet. [doi]
• Workflow improvements for digital breast tomosynthesis: computerized generation of enhanced synthetic imagesSergei V. Fotin, Yin Yin, Hrishikesh Haldankar, Jeffrey W. Hoffmeister, Senthil Periaswamy. [doi]
• Automated detection of retinal nerve fiber layer defects on fundus images: false positive reduction based on vessel likelihoodChisako Muramatsu, Kyoko Ishida, Akira Sawada, Yuji Hatanaka, Tetsuya Yamamoto, Hiroshi Fujita 0001. [doi]
• Automatic staging of bladder cancer on CT urographySankeerth S. Garapati, Lubomir M. Hadjiiski, Kenny H. Cha, Heang-Ping Chan, Elaine M. Caoili, Richard H. Cohan, Alon Z. Weizer, Ajjai Alva, Chintana Paramagul, Jun Wei 0002, Chuan Zhou. [doi]
• Deep learning for electronic cleansing in dual-energy CT colonographyRie Tachibana, Janne J. Näppi, Toru Hironaka, Se Hyung Kim, Hiroyuki Yoshida. [doi]
• Deep transfer learning of virtual endoluminal views for the detection of polyps in CT colonographyJanne J. Näppi, Toru Hironaka, Daniele Regge, Hiroyuki Yoshida. [doi]
• Signal intensity analysis of ecological defined habitat in soft tissue sarcomas to predict metastasis developmentHamidreza Farhidzadeh, Baishali Chaudhury, Jacob G. Scott, Dmitry B. Goldgof, Lawrence O. Hall, Robert A. Gatenby, Robert J. Gillies, Meera Raghavan. [doi]
• A single-layer network unsupervised feature learning method for white matter hyperintensity segmentationKoen Vijverberg, Mohsen Ghafoorian, Inge W. M. van Uden, Frank-Erik de Leeuw, Bram Platel, Tom Heskes. [doi]
• Automatic determination of white matter hyperintensity properties in relation to the development of Alzheimer's diseaseSandra van der Velden, Christoph Moenninghoff, Isabel Wanke, Martha Jokisch, Christian Weimar, Rita Lopes Simões, Anne-Marie van Cappellen van Walsum, Cornelis H. Slump. [doi]
• Front Matter: Volume 9785978501 [doi]
• Inner and outer coronary vessel wall segmentation from CCTA using an active contour model with machine learning-based 3D voxel context-aware image forceUdhayaraj Sivalingam, Michael Wels, Markus Rempfler, Stefan Grosskopf, Michael Sühling, Bjoern H. Menze. 978502 [doi]
• Automated identification of best-quality coronary artery segments from multiple-phase coronary CT angiography (cCTA) for vessel analysisChuan Zhou, Heang-Ping Chan, Lubomir M. Hadjiiski, Aamer Chughtai, Jun Wei 0002, Ella A. Kazerooni. 978503 [doi]
• 3D assessment of the carotid artery vessel wall volume: an imaging biomarker for diagnosis of the atherosclerotic diseaseMariam Afshin, Tishan Maraj, Tina Binesh Marvasti, Navneet Singh, Alan R. Moody. 978504 [doi]
• A system for automatic aorta sections measurements on chest CTYitzchak Pfeffer, Arnaldo Mayer, Adi Zholkover, Eli Konen. 978505 [doi]
• Quantitative MRI myocarditis analysis by a PCA-based object recognition algorithmRocco Romano, Fausto Acernese, Gerardo Giordano, Igino De Giorgi, Antonio Orientale, Giovanni Babino, Fabrizio Barone. 978506 [doi]
• Differentiation of fat, muscle, and edema in thigh MRIs using random forest classificationWilliam Kovacs, Chia-Ying Liu, Ronald M. Summers, Jianhua Yao. 978507 [doi]
• Assessing vertebral fracture risk on volumetric quantitative computed tomography by geometric characterization of trabecular bone structureWalter A. Checefsky, Anas Z. Abidin, Mahesh B. Nagarajan, Jan S. Bauer, Thomas Baum, Axel Wismüller. 978508 [doi]
• Classification of voting patterns to improve the generalized Hough transform for epiphyses localizationFerdinand Hahmann, Gordon Böer, Eric Gabriel, Thomas M. Deserno, Carsten Meyer, Hauke Schramm. 978509 [doi]
• Visualizing and enhancing a deep learning framework using patients age and gender for chest x-ray image retrievalYaron Anavi, Ilya Kogan, Elad Gelbart, Ofer Geva, Hayit Greenspan. 978510 [doi]
• Deep convolutional neural networks for automatic coronary calcium scoring in a screening study with low-dose chest CTNikolas Leßmann, Ivana Isgum, Arnaud A. A. Setio, Bob D. de Vos, Francesco Ciompi, Pim A. de Jong, Matthijs Oudkerk, W. P. Th. M. Mali, Max A. Viergever, Bram van Ginneken. 978511 [doi]
• Comparison of bladder segmentation using deep-learning convolutional neural network with and without level setsKenny H. Cha, Lubomir M. Hadjiiski, Ravi K. Samala, Heang-Ping Chan, Richard H. Cohan, Elaine M. Caoili. 978512
• Pulmonary nodule detection using a cascaded SVM classifierMartin Bergtholdt, Rafael Wiemker, Tobias Klinder. 978513 [doi]
• Spatial context learning approach to automatic segmentation of pleural effusion in chest computed tomography imagesAwais Mansoor, Rafael Casas, Marius George Linguraru. 978514 [doi]
• Lymph node detection in IASLC-defined zones on PET/CT imagesYihua Song, Jayaram K. Udupa, Dewey Odhner, Yubing Tong, Drew A. Torigian. 978515 [doi]
• Intrapulmonary vascular remodeling: MSCT-based evaluation in COPD and alpha-1 antitrypsin deficient subjectsAdeline Crosnier, Catalin I. Fetita, Gabriel Thabut, Pierre-Yves Brillet. 978516 [doi]
• Automatic heart localization and radiographic index computation in chest x-raysSema Candemir, Stefan Jaeger 0001, Wilson Lin, Zhiyun Xue, Sameer K. Antani, George R. Thoma. 978517 [doi]
• Comprehensive eye evaluation algorithmCarla Agurto, Sheila C. Nemeth, Gilberto Zamora, M. Vahtel, Peter Soliz, Eduardo Simon Barriga. 978518 [doi]
• Vessel discoloration detection in malarial retinopathyCarla Agurto, Sheila C. Nemeth, E. Simon Barriga, Peter Soliz, I. MacCormick, T. Taylor, S. Harding, S. Lewallen, Vinayak Joshi. 978519 [doi]
• Computer-aided classification of mammographic masses using the deep learning technology: a preliminary studyYuchen Qiu, Shiju Yan, Maxine Tan, Samuel Cheng, Hong Liu, Bin Zheng. 978520 [doi]
• An initial investigation on developing a new method to predict short-term breast cancer risk based on deep learning technologyYuchen Qiu, Yunzhi Wang, Shiju Yan, Maxine Tan, Samuel Cheng, Hong Liu, Bin Zheng. 978521 [doi]
• Computer-aided global breast MR image feature analysis for prediction of tumor response to chemotherapy: performance assessmentFaranak Aghaei, Maxine Tan, Alan B. Hollingsworth, Bin Zheng, Samuel Cheng. 978522 [doi]
• First and second-order features for detection of masses in digital breast tomosynthesisRavi K. Samala, Jun Wei 0002, Heang-Ping Chan, Lubomir M. Hadjiiski, Kenny H. Cha, Mark A. Helvie. 978523 [doi]
• An adaptive online learning framework for practical breast cancer diagnosisTianshu Chu, Jie Wang, Jiayu Chen. 978524 [doi]
• Computer-aided detection of polyps in optical colonoscopy imagesSaad Nadeem, Arie E. Kaufman. 978525 [doi]
• Performance evaluation of multi-material electronic cleansing for ultra-low-dose dual-energy CT colonographyRie Tachibana, Naja Kohlhase, Janne J. Näppi, Toru Hironaka, Junko Ota, Takayuki Ishida, Daniele Regge, Hiroyuki Yoshida. 978526 [doi]
• Detection of benign prostatic hyperplasia nodules in T2W MR images using fuzzy decision forestNathan Lay, Sabrina Freeman, Baris Turkbey, Ronald M. Summers. 978527 [doi]
• Colonoscopic polyp detection using convolutional neural networksSun Young Park, Dusty Sargent. 978528 [doi]
• Normalization of T2W-MRI prostate images using Rician a prioriGuillaume Lemaître, Mojdeh Rastgoo, Joan Massich, Joan Carles Vilanova, Paul Michael Walker, Jordi Freixenet, Anke Meyer-Baese, Fabrice Mériaudeau, Robert Martí. 978529 [doi]
• Automated anatomical description of pleural thickening towards improvement of its computer-assisted diagnosisKraisorn Chaisaowong, Mingze Jiang, Peter Faltin, Dorit Merhof, Christian Eisenhawer, Monika Gube, Thomas Kraus. 978530 [doi]
• Computer aided diagnosis for severity assessment of pneumoconiosis using CT imagesHidenobu Suzuki, Mikio Matsuhiro, Yoshiki Kawata, Noboru Niki, Katsuya Kato, Takumi Kishimoto, Kazuto Ashizawa. 978531 [doi]
• Lung nodule detection using 3D convolutional neural networks trained on weakly labeled dataRushil Anirudh, Jayaraman J. Thiagarajan, Timo Bremer, HyoJin Kim. 978532 [doi]
• Investigating the effects of majority voting on CAD systems: a LIDC case studyMiguel Carrazza, Brendan Kennedy, Alexander Rasin, Jacob D. Furst, Daniela Raicu. 978533 [doi]
• Change descriptors for determining nodule malignancy in national lung screening trial CT screening imagesBenjamin Geiger, Samuel H. Hawkins, Lawrence O. Hall, Dmitry B. Goldgof, Yoganand Balagurunathan, Robert A. Gatenby, Robert J. Gillies. 978535 [doi]
• Adaptive thresholding of chest temporal subtraction images in computer-aided diagnosis of pathologic changeMelanie Harrison, Jared Looper, Samuel G. Armato III. 978536 [doi]
• Correlation analysis between pulmonary function test parameters and CT image parameters of emphysemaCheng-Pei Liu, Chia-Chen Li, Chong-Jen Yu, Yeun-Chung Chang, Cheng-Yi Wang, Wen-Kuang Yu, Chung-Ming Chen. 978537 [doi]
• Computerized lung cancer malignancy level analysis using 3D texture featuresWenqing Sun, Xia Huang, Tzu-Liang Tseng, Jianying Zhang, Wei Qian. 978538 [doi]
• A computer-aided diagnosis system to detect pathologies in temporal subtraction images of chest radiographsJared Looper, Melanie Harrison, Samuel G. Armato III. 978539 [doi]