Abstract is missing.
- Fully convolutional neural networks for polyp segmentation in colonoscopyPatrick Brandao, Evangelos B. Mazomenos, Gastone Ciuti, Renato Caliò, Federico Bianchi, Arianna Menciassi, Paolo Dario, Anastasios Koulaouzidis, Alberto Arezzo, Danail Stoyanov. [doi]
- Risk prediction of small pulmonary nodules based on novel CT image texture markersFangfang Han, Bowen Song, He Ma, Wei Qian, Zhengrong Liang. [doi]
- Automatic thoracic body region localizationPeirui Bai, Jayaram K. Udupa, Yubing Tong, Shipeng Xie, Drew A. Torigian. [doi]
- Airway extraction from 3D chest CT volumes based on iterative extension of VOI enhanced by cavity enhancement filterQier Meng, Takayuki Kitasaka, Masahiro Oda, Kensaku Mori. [doi]
- A new texture descriptor based on local micro-pattern for detection of architectural distortion in mammographic imagesHelder Cesar Rodigues de Oliveira, Diego R. Moraes, Gustavo A. Reche, Lucas R. Borges, Juliana H. Catani, Nestor de Barros, Carlos F. E. Melo, Adilson Gonzaga, Marcelo A. C. Vieira. [doi]
- Automatic extraction of disease-specific features from Doppler imagesMohammadreza Negahdar, Mehdi Moradi, Nripesh Parajuli, Tanveer F. Syeda-Mahmood. [doi]
- Automatic lung nodule graph cuts segmentation with deep learning false positive reductionWenqing Sun, Xia Huang, Tzu-Liang Bill Tseng, Wei Qian. [doi]
- Digital Mammography DREAM Challenge Overview (Conference Presentation)Berkman Sahiner. [doi]
- Automated assessment of breast tissue density in non-contrast 3D CT images without image segmentation based on a deep CNNXiangrong Zhou, Takuya Kano, Hiromi Koyasu, Shuo Li, Xinxin Zhou, Takeshi Hara, Masayuki Matsuo, Hiroshi Fujita 0001. [doi]
- An ensemble-based approach for breast mass classification in mammography imagesPatricia B. Ribeiro, João P. Papa, Roseli A. F. Romero. [doi]
- Fine-tuning convolutional deep features for MRI based brain tumor classificationKaoutar B. Ahmed, Lawrence O. Hall, Dmitry B. Goldgof, Renhao Liu, Robert A. Gatenby. [doi]
- Differentiation of pre-ablation and post-ablation late gadolinium-enhanced cardiac MRI scans of longstanding persistent atrial fibrillation patientsGuang Yang, Xiahai Zhuang, Habib Khan, Shouvik Haldar, Eva Nyktari, Lei Li, Xujiong Ye, Gregory G. Slabaugh, Tom Wong, Raad Mohiaddin, Jennifer Keegan, David N. Firmin. [doi]
- Computer-assisted quantification of the skull deformity for craniosynostosis from 3D head CT images using morphological descriptor and hierarchical classificationMin Jin Lee, Helen Hong, Kyu Won Shim, Yong Oock Kim. [doi]
- Pairwise mixture model for unmixing partial volume effect in multi-voxel MR spectroscopy of brain tumour patientsNathan Olliverre, Muhammad Asad, Guang Yang, Franklyn A. Howe, Gregory G. Slabaugh. [doi]
- Improved brain tumor segmentation by utilizing tumor growth model in longitudinal brain MRILinmin Pei, Syed M. S. Reza, Wei Li, Christos Davatzikos, Khan M. Iftekharuddin. [doi]
- Computer assisted optical biopsy for colorectal polypsFernando J. Navarro-Avila, Yadira Saint-Hill-Febles, Janis Renner, Peter Klare, Stefan von Delius, Nassir Navab, Diana Mateus. [doi]
- Automatic detection of diabetic retinopathy features in ultra-wide field retinal imagesAnastasia Levenkova, Arcot Sowmya, Michael Kalloniatis, Angelica Ly, Arthur Ho. [doi]
- Coronary artery calcification identification and labeling in low-dose chest CT imagesYiting Xie, Shuang Liu, Albert Miller, Jeffrey A. Miller, Steven Markowitz, Ali Akhund, Anthony P. Reeves. [doi]
- Evaluation of image features and classification methods for Barrett's cancer detection using VLE imagingSander Klomp, Fons van der Sommen, Anne-Fré Swager, Svitlana Zinger, Erik J. Schoon, Wouter L. Curvers, Jacques J. Bergman, Peter H. N. de With. [doi]
- Detection of juxta-pleural lung nodules in computed tomography imagesGuilherme Aresta, António Cunha, Aurélio Campilho. [doi]
- Distant failure prediction for early stage NSCLC by analyzing PET with sparse representationHongxia Hao, Zhiguo Zhou, Jing Wang. [doi]
- A transfer learning approach for classification of clinical significant prostate cancers from mpMRI scansQuan Chen, Xiang Xu, Shiliang Hu, Xiao Li, Qing Zou, Yunpeng Li. [doi]
- Building confidence and credibility into CAD with belief decision treesRachael N. Affenit, Erik R. Barns, Jacob D. Furst, Alexander Rasin, Daniela Stan Raicu. [doi]
- Effective user guidance in online interactive semantic segmentationJens Petersen, Martin Bendszus, Jürgen Debus, Sabine Heiland, Klaus H. Maier-Hein. [doi]
- Radiomic modeling of BI-RADS density categoriesJun Wei 0002, Heang-Ping Chan, Mark A. Helvie, Marilyn A. Roubidoux, Chuan Zhou, Lubomir M. Hadjiiski. [doi]
- Feature extraction using convolutional neural network for classifying breast density in mammographic imagesRicardo L. Thomaz, Pedro C. Carneiro, Ana Claudia Patrocinio. [doi]
- Evaluation of age-related changes with cross-sectional CT imaging of teethTatsumasa Fukui, Kanade Kita, Hiromasa Kamemoto, Wataru Nishiyama, Hiroyasu Yoshida, Yukihiro Iida, Akitoshi Katsumata, Chisako Muramatsu, Hiroshi Fujita 0001. [doi]
- IDH mutation assessment of glioma using texture features of multimodal MR imagesXi Zhang, Qiang Tian, Yuxia Wu, Xiaopan Xu, Baojuan Li, Yi-Xiong Liu, Yang Liu, Hongbing Lu. [doi]
- Prostate lesion detection and localization based on locality alignment discriminant analysisMingquan Lin, Weifu Chen, Mingbo Zhao, Eli Gibson, Matthew Bastian-Jordan, Derek W. Cool, Zahra Kassam, Tommy W. S. Chow, Aaron D. Ward, Bernard Chiu. [doi]
- An experimental study of interstitial lung tissue classification in HRCT images using ANN and role of cost functionsJatindra Kumar Dash, Mandar Kale, Sudipta Mukhopadhyay, Niranjan Khandelwal, Nidhi Prabhakar, Mandeep Garg, Naveen Kalra. [doi]
- The effects of TIS and MI on the texture features in ultrasonic fatty liver imagesYuan Zhao, Xinyao Cheng, Mingyue Ding. [doi]
- Automated method to compute Evans index for diagnosis of idiopathic normal pressure hydrocephalus on brain CT imagesNoriyuki Takahashi, Toshibumi Kinoshita, Tomomi Ohmura, Eri Matsuyama, Hideto Toyoshima. [doi]
- Deep ensemble learning of virtual endoluminal views for polyp detection in CT colonographyKensuke Umehara, Janne J. Näppi, Toru Hironaka, Daniele Regge, Takayuki Ishida, Hiroyuki Yoshida. [doi]
- Automatic and semi-automatic approaches for arteriolar-to-venular computation in retinal photographsAna Maria Mendonça, Beatriz Remeseiro, Behdad Dashtbozorg, Aurélio Campilho. [doi]
- Kernel descriptors for chest x-ray analysisGergely Gy. Orbán, Gábor Horváth. [doi]
- Radiogenomic analysis of hypoxia pathway reveals computerized MRI descriptors predictive of overall survival in glioblastomaNiha Beig, Jay Patel, Prateek Prasanna, Sasan Partovi, Vinay Varadan, Anant Madabhushi, Pallavi Tiwari. [doi]
- Automated liver elasticity calculation for 3D MREBogdan Dzyubak, Kevin J. Glaser, Armando Manduca, Richard L. Ehman. [doi]
- Retinal SD-OCT image-based pituitary tumor screeningMin He, Weifang Zhu, Xinjian Chen. [doi]
- Vessel segmentation in 4D arterial spin labeling magnetic resonance angiography images of the brainRenzo Phellan, Thomas Lindner, Alexandre X. Falcão, Nils Daniel Forkert. [doi]
- A study of oral contrast coating on the surface of polyps: an implication for computer-aided detection and classification of polypsHarmanpreet Singh, Lihong C. Li, Marc Pomeroy, Perry J. Pickhardt, Matthew A. Barish, Donald P. Harrington, Zhengrong Liang. [doi]
- Does the prediction of breast cancer improve using a combination of mammographic density measures compared to individual measures alone?Joseph Ryan Wong Sik Hee, Elaine F. Harkness, Soujanya Gadde, Yit Yoong Lim, Anthony J. Maxwell, D. Gareth Evans, Anthony Howell, Susan M. Astley. [doi]
- Identifying key radiogenomic associations between DCE-MRI and micro-RNA expressions for breast cancerRavi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Mark A. Helvie, Renaid Kim. [doi]
- Application of probabilistically weighted graphs to image-based diagnosis of Alzheimer's disease using diffusion MRISyeda Maryam, Laura McCrackin, Mark Crowley, Yogesh Rathi, Oleg V. Michailovich. [doi]
- Advancements in automated tissue segmentation pipeline for contrast-enhanced CT scans of adult and pediatric patientsElanchezhian Somasundaram, Robert Kaufman, Samuel Brady. [doi]
- Deep learning of contrast-coated serrated polyps for computer-aided detection in CT colonographyJanne J. Näppi, Perry J. Pickhardt, David H. Kim, Toru Hironaka, Hiroyuki Yoshida. [doi]
- Superpixel-based classification of gastric chromoendoscopy imagesDavide Boschetto, Enrico Grisan. [doi]
- Automated detection and quantification of residual brain tumor using an interactive computer-aided detection schemeKevin P. Gaffney, Faranak Aghaei, James Battiste, Bin Zheng. [doi]
- Autoscope: automated otoscopy image analysis to diagnose ear pathology and use of clinically motivated eardrum featuresÇaglar Senaras, Aaron C. Moberly, Theodoros Teknos, Garth Essig, Charles Elmaraghy, Nazhat Taj-Schaal, Lianbo Yu, Metin Gurcan. [doi]
- Pelvic artery calcification detection on CT scans using convolutional neural networksJiamin Liu, Le Lu, Jianhua Yao, Mohammadhadi Bagheri, Ronald M. Summers. [doi]
- Neutrosophic segmentation of breast lesions for dedicated breast CTJuhun Lee, Robert M. Nishikawa, Ingrid S. Reiser, John M. Boone. [doi]
- Automated detection of microcalcification clusters in mammogramsVikrant A. Karale, Sudipta Mukhopadhyay, Tulika Singh, Niranjan Khandelwal, Anup Sadhu. [doi]
- Balance the nodule shape and surroundings: a new multichannel image based convolutional neural network scheme on lung nodule diagnosisWenqing Sun, Bin Zheng, Xia Huang, Wei Qian. [doi]
- Lung lesion detection in FDG-PET/CT with Gaussian process regressionRyosuke Kamesawa, Issei Sato, Shouhei Hanaoka, Yukihiro Nomura, Mitsutaka Nemoto, Naoto Hayashi, Masashi Sugiyama. [doi]
- Hessian-assisted supervoxel: structure-oriented voxel clustering and application to mediastinal lymph node detection from CT volumesHirohisa Oda, Kanwal K. Bhatia, Masahiro Oda, Takayuki Kitasaka, Shingo Iwano, Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Julia A. Schnabel, Kensaku Mori. [doi]
- Estimation of retinal vessel caliber using model fitting and random forestsTeresa Araujo, Ana Maria Mendonça, Aurélio Campilho. [doi]
- Improving utility of brain tumor confocal laser endomicroscopy: objective value assessment and diagnostic frame detection with convolutional neural networksMohammadhassan Izadyyazdanabadi, Evgenii Belykh, Nikolay Martirosyan, Jennifer Eschbacher, Peter Nakaji, Yezhou Yang, Mark C. Preul. [doi]
- Automatic classification of patients with idiopathic Parkinson's disease and progressive supranuclear palsy using diffusion MRI datasetsSahand Talai, Kai Boelmans, Jan Sedlacik, Nils Daniel Forkert. [doi]
- Detection of retinal changes from illumination normalized fundus images using convolutional neural networksKedir M. Adal, Peter G. van Etten, Jose P. Martinez, Kenneth Rouwen, Koenraad A. Vermeer, Lucas J. van Vliet. [doi]
- Digital Mammography DREAM Challenge: Participant Experience 1 (Conference Presentation)Yaroslav Nikulin. [doi]
- Classification of breast MRI lesions using small-size training sets: comparison of deep learning approachesGuy Amit, Rami Ben-Ari, Omer Hadad, Einat Monovich, Noa Granot, Sharbell Y. Hashoul. [doi]
- Automated detection of masses on whole breast volume ultrasound scanner: false positive reduction using deep convolutional neural networkYuya Hiramatsu, Chisako Muramatsu, Hironobu Kobayashi, Takeshi Hara, Hiroshi Fujita 0001. [doi]
- Quantification of CT images for the classification of high- and low-risk pancreatic cystsLior Gazit, Jayasree Chakraborty, Marc Attiyeh, Liana Langdon-Embry, Peter J. Allen, Richard K. G. Do, Amber L. Simpson. [doi]
- A feasibility study of automatic lung nodule detection in chest digital tomosynthesis with machine learning based on support vector machineDonghoon Lee, Ye-seul Kim, Sunghoon Choi, Haenghwa Lee, Byungdu Jo, Seungyeon Choi, Jungwook Shin, Hee-Joung Kim. [doi]
- Applying a deep learning based CAD scheme to segment and quantify visceral and subcutaneous fat areas from CT imagesYunzhi Wang, Yuchen Qiu, Theresa C. Thai, Kathleen N. Moore, Hong Liu, Bin Zheng. [doi]
- Fully automated breast density assessment from low-dose chest CTShuang Liu, Laurie R. Margolies, Yiting Xie, David F. Yankelevitz, Claudia I. Henschke, Anthony P. Reeves. [doi]
- Left ventricle segmentation in cardiac MRI images using fully convolutional neural networksLiset Vázquez Romaguera, Marly Guimarães Fernandes Costa, Francisco Perdigón Romero, Cicero Ferreira Fernandes Costa Filho. [doi]
- Texture analysis of common renal masses in multiple MR sequences for prediction of pathologyUyen N. Hoang, Ashkan A. Malayeri, Nathan S. Lay, Ronald M. Summers, Jianhua Yao. [doi]
- Analysis of 18F-DMFP-PET data using Hidden Markov Random Field and the Gaussian distribution to assist the diagnosis of ParkinsonismFermín Segovia, Diego Salas-Gonzalez, Juan Manuel Górriz, Javier Ramírez 0001, Francisco Jesús Martínez-Murcia. [doi]
- Deep multi-spectral ensemble learning for electronic cleansing in dual-energy CT colonographyRie Tachibana, Janne J. Näppi, Toru Hironaka, Se Hyung Kim, Hiroyuki Yoshida. [doi]
- Automatic estimation of heart boundaries and cardiothoracic ratio from chest x-ray imagesAhmed H. Dallal, Chirag Agarwal, Mohammad R. Arbabshirani, Aalpen Patel, Gregory Moore. [doi]
- An improved method for pancreas segmentation using SLIC and interactive region mergingLiyuan Zhang, Huamin Yang, Weili Shi, Yu Miao, Qingliang Li, Fei He, Wei He, Yanfang Li, Huimao Zhang, Kensaku Mori, Zhengang Jiang. [doi]
- Deep learning and three-compartment breast imaging in breast cancer diagnosisKaren Drukker, Benjamin Q. Huynh, Maryellen L. Giger, Serghei Malkov, Jesús I. Ávila, Bo Fan, Bonnie N. Joe, Karla Kerlikowske, Jennifer S. Drukteinis, Leila Kazemi, Malesa M. Pereira, John Shepherd. [doi]
- Coronary artery calcification (CAC) classification with deep convolutional neural networksXiuming Liu, Shice Wang, YuFeng Deng, Kuan Chen. [doi]
- Classification of clinical significance of MRI prostate findings using 3D convolutional neural networksAlireza Mehrtash, Alireza Sedghi, Mohsen Ghafoorian, Mehdi Taghipour, Clare M. Tempany, William M. Wells III, Tina Kapur, Parvin Mousavi, Purang Abolmaesumi, Andriy Fedorov. [doi]
- Volume calculation of CT lung lesions based on Halton low-discrepancy sequencesShusheng Li, Liansheng Wang, Shuo Li. [doi]
- Machine learning algorithm for automatic detection of CT-identifiable hyperdense lesions associated with traumatic brain injuryKrishna N. Keshavamurthy, Owen P. Leary, Lisa H. Merck, Benjamin B. Kimia, Scott Collins, David W. Wright, Jason W. Allen, Jeffrey F. Brock, Derek Merck. [doi]
- Conditional random field modelling of interactions between findings in mammographyThijs Kooi, Jan-Jurre Mordang, Nico Karssemeijer. [doi]
- Deep learning for segmentation of brain tumors: can we train with images from different institutions?David Paredes, Ashirbani Saha, Maciej A. Mazurowski. [doi]
- The effects of iterative reconstruction in CT on low-contrast liver lesion volumetry: a phantom studyQin Li, Benjamin P. Berman, Justin Schumacher, Yongguang Liang, Marios A. Gavrielides, Hao Yang, Binsheng Zhao, Nicholas Petrick. [doi]
- Development and validation of a radiomics nomogram for progression-free survival prediction in stage IV EGFR-mutant non-small cell lung cancerJiangdian Song, Yali Zang, Weimin Li, Wenzhao Zhong, Jingyun Shi, Di Dong, Mengjie Fang, Zaiyi Liu, Jie Tian. [doi]
- Computer-assisted adjuncts for aneurysmal morphologic assessment: toward more precise and accurate approachesHamidreza Rajabzadeh-Oghaz, Nicole Varble, Jason M. Davies, Ashkan Mowla, Hakeem J. Shakir, Ashish Sonig, Hussain Shallwani, Kenneth V. Snyder, Elad I. Levy, Adnan H. Siddiqui, Hui Meng. [doi]
- Digital Mammography DREAM Challenge: Participant Experience 2 (Conference Presentation)Jose Costa Pereira. [doi]
- Performance comparison of deep learning and segmentation-based radiomic methods in the task of distinguishing benign and malignant breast lesions on DCE-MRINatasha Antropova, Benjamin Q. Huynh, Maryellen L. Giger. [doi]
- Can upstaging of ductal carcinoma in situ be predicted at biopsy by histologic and mammographic features?Bibo Shi, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, E. Shelley Hwang, Joseph Y. Lo. [doi]
- Evaluation of a processing scheme for calcified atheromatous carotid artery detection in face/neck CBCT imagesBruno R. N. Matheus, B. S. Centurion, I. R. F. Rubira-Bullen, Homero Schiabel. [doi]
- Tooth labeling in cone-beam CT using deep convolutional neural network for forensic identificationYuma Miki, Chisako Muramatsu, Tatsuro Hayashi, Xiangrong Zhou, Takeshi Hara, Akitoshi Katsumata, Hiroshi Fujita 0001. [doi]
- Multi-threshold white matter structural networks fusion for accurate diagnosis of Tourette syndrome childrenHongwei Wen, Yue Liu, Shengpei Wang, Zuoyong Li, Jishui Zhang, Yun Peng, Huiguang He. [doi]
- An introductory analysis of digital infrared thermal imaging guided oral cancer detection using multiresolution rotation invariant texture featuresM. Chakraborty, R. Das Gupta, S. Mukhopadhyay, N. Anjum, S. Patsa, J. G. Ray. [doi]
- Agreement between a computer-assisted tool and radiologists to classify lesions in breast elastography imagesKarem D. Marcomini, Eduardo F. C. Fleury, Vilmar M. Oliveira, Antonio A. O. Carneiro, Homero Schiabel, Robert M. Nishikawa. [doi]
- Prediction of occult invasive disease in ductal carcinoma in situ using computer-extracted mammographic featuresBibo Shi, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, E. Shelley Hwang, Joseph Y. Lo. [doi]
- The effects of slice thickness and radiation dose level variations on computer-aided diagnosis (CAD) nodule detection performance in pediatric chest CT scansNastaran Emaminejad, Pechin Lo, Shahnaz Ghahremani, Grace H. Kim, Matthew S. Brown, Michael F. McNitt-Gray. [doi]
- A novel deep learning-based approach to high accuracy breast density estimation in digital mammographyChul Kyun Ahn, Changyong Heo, Heongmin Jin, Jong Hyo Kim. [doi]
- Examining in vivo tympanic membrane mobility using smart phone video-otoscopy and phase-based Eulerian video magnificationMirek Janatka, Krishan S. Ramdoo, Taran Tatla, Krittin Pachtrachai, Daniel S. Elson, Danail Stoyanov. [doi]
- Effect of two different preprocessing steps in detection of optic nerve head in fundus imagesMeysam Tavakoli, Mahdieh Nazar, Alireza Mehdizadeh. [doi]
- Comparison of breast DCE-MRI contrast time points for predicting response to neoadjuvant chemotherapy using deep convolutional neural network features with transfer learningBenjamin Q. Huynh, Natasha Antropova, Maryellen L. Giger. [doi]
- A study of retrieval accuracy of pulmonary nodules based on external attachmentAshis Kumar Dhara, Sudipta Mukhopadhyay, Shrikant A. Mehre, Niranjan Khandelwal, Nidhi Prabhakar, Mandeep Garg, Naveen Kalra. [doi]
- Convolutional neural network approach for enhanced capture of breast parenchymal complexity patterns associated with breast cancer riskAndrew Oustimov, Aimilia Gastounioti, Meng Kang Hsieh, Lauren Pantalone, Emily F. Conant, Despina Kontos. [doi]
- Classification of bifurcations regions in IVOCT images using support vector machine and artificial neural network modelsC. D. N. Porto, C. F. F. Costa Filho, M. M. G. Macedo, M. A. Gutierrez, M. G. F. Costa. [doi]
- Deep learning of symmetrical discrepancies for computer-aided detection of mammographic massesThijs Kooi, Nico Karssemeijer. [doi]
- Computer-aided diagnosis of mammographic masses using geometric verification-based image retrievalQingliang Li, Weili Shi, Huamin Yang, Huimao Zhang, Guoxin Li, Tao Chen, Kensaku Mori, Zhengang Jiang. [doi]
- Automatic detection of lung nodules: false positive reduction using convolution neural networks and handcrafted featuresLing Fu, Jingchen Ma, Yacheng Ren, Youn Seon Han, Jun Zhao. [doi]
- Joint deep shape and appearance learning: application to optic pathway glioma segmentationAwais Mansoor, Ien Li, Roger J. Packer, Robert A. Avery, Marius George Linguraru. [doi]
- A new method for predicting CT lung nodule volume measurement performanceRicardo S. Avila, Artit C. Jirapatnakul, Raja Subramaniam, David F. Yankelevitz. [doi]
- A hybrid 3D region growing and 4D curvature analysis-based automatic abdominal blood vessel segmentation through contrast enhanced CTAhmed S. Maklad, Mikio Matsuhiro, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki, Mitsuo Shimada, Gen Iinuma. [doi]
- Comparison of classification methods for voxel-based prediction of acute ischemic stroke outcome following intra-arterial interventionAnthony J. Winder, Susanne Siemonsen, Fabian Flottmann, Jens Fiehler, Nils Daniel Forkert. [doi]
- Case-based statistical learning applied to SPECT image classificationJuan Manuel Górriz, Javier Ramírez 0001, Ignacio A. Illán, Francisco Jesús Martínez-Murcia, Fermín Segovia, Diego Salas-Gonzalez, Andrés Ortiz. [doi]
- The impact of using weight estimated from mammographic images vs. self-reported weight on breast cancer risk calculationKalyani P. Nair, Elaine F. Harkness, Soujanya Gadde, Yit Yoong Lim, Anthony J. Maxwell, Emmanouil Moschidis, Philip Foden, Jack Cuzick, Adam Brentnall, D. Gareth Evans, Anthony Howell, Susan M. Astley. [doi]
- Radiomics biomarkers for accurate tumor progression prediction of oropharyngeal cancerLubomir M. Hadjiiski, Heang-Ping Chan, Kenny H. Cha, Ashok Srinivasan, Jun Wei 0002, Chuan Zhou, Mark Prince, Silvana Papagerakis. [doi]
- Cephalometric landmark detection in dental x-ray images using convolutional neural networksHansang Lee, Minseok Park, Junmo Kim. [doi]
- Automatic classification of cardioembolic and arteriosclerotic ischemic strokes from apparent diffusion coefficient datasets using texture analysis and deep learningJavier Villafruela, Sebastian Crites, Bastian Cheng, Christian Knaack, Götz Thomalla, Bijoy K. Menon, Nils Daniel Forkert. [doi]
- Radiogenomic analysis of lower grade glioma: a pilot multi-institutional study shows an association between quantitative image features and tumor genomicsMaciej A. Mazurowski, Kal Clark, Nicholas M. Czarnek, Parisa Shamsesfandabadi, Katherine B. Peters, Ashirbani Saha. [doi]
- Front Matter: Volume 101341013401 [doi]
- Segmentation of inner and outer bladder wall using deep-learning convolutional neural network in CT urographyMarshall Gordon, Lubomir M. Hadjiiski, Kenny H. Cha, Heang-Ping Chan, Ravi Samala, Richard H. Cohan, Elaine M. Caoili. 1013402 [doi]
- Computer-aided detection of bladder masses in CT urography (CTU)Kenny H. Cha, Lubomir M. Hadjiiski, Heang-Ping Chan, Elaine M. Caoili, Richard H. Cohan, Alon Z. Weizer, Ravi K. Samala. 1013403 [doi]
- Bladder cancer treatment response assessment using deep learning in CT with transfer learningKenny H. Cha, Lubomir M. Hadjiiski, Heang-Ping Chan, Ravi K. Samala, Richard H. Cohan, Elaine M. Caoili, Chintana Paramagul, Ajjai Alva, Alon Z. Weizer. 1013404 [doi]
- Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance imagesYohannes K. Tsehay, Nathan S. Lay, Holger R. Roth, Xiaosong Wang, Jin Tae Kwak, Baris Turkbey, Peter A. Pinto, Bradford J. Wood, Ronald M. Summers. 1013405 [doi]
- Quantification of oxygen changes in the placenta from BOLD MR image sequencesAntonio R. Porras, Gemma Piella, Wonsang You, Catherine Limperopoulos, Marius George Linguraru. 1013406 [doi]
- Cascade of convolutional neural networks for lung texture classification: overcoming ontological overlappingSebastian Roberto Tarando, Catalin I. Fetita, Pierre-Yves Brillet. 1013407 [doi]
- Identification of early-stage usual interstitial pneumonia from low-dose chest CT scans using fractional high-density lung distributionYiting Xie, Mary Salvatore, Shuang Liu, Artit C. Jirapatnakul, David F. Yankelevitz, Claudia I. Henschke, Anthony P. Reeves. 1013408 [doi]
- 3D convolutional neural network for automatic detection of lung nodules in chest CTSardar Hamidian, Berkman Sahiner, Nicholas Petrick, Aria Pezeshk. 1013409 [doi]
- Preoperative assessment of microvascular invasion in hepatocellular carcinomaJayasree Chakraborty, Jian Zheng, Mithat Gönen, William R. Jarnagin, Ronald P. DeMatteo, Richard K. G. Do, Amber L. Simpson. 1013410 [doi]
- Combination of lateral and PA view radiographs to study development of knee OA and associated painLuca Minciullo, Jessie Thomson, Timothy F. Cootes. 1013411 [doi]
- Characterizing cartilage microarchitecture on phase-contrast x-ray computed tomography using deep learning with convolutional neural networksBotao Deng, Anas Z. Abidin, Adora M. D'Souza, Mahesh B. Nagarajan, Paola Coan, Axel Wismüller. 1013412 [doi]
- Classification of micro-CT images using 3D characterization of bone canal patterns in human osteogenesis imperfectaAnas Z. Abidin, John Jameson, Robert Molthen, Axel Wismüller. 1013413 [doi]
- Automated melanoma recognition in dermoscopic images based on extreme learning machine (ELM)Md. Mahmudur Rahman, Nuh Alpaslan. 1013414 [doi]
- FDA's role in the innovation and evaluation of evolving CAD solutions (Conference Presentation)Kyle J. Myers. 1013415 [doi]
- Organ detection in thorax abdomen CT using multi-label convolutional neural networksGabriel Efrain Humpire Mamani, Arnaud Arindra Adiyoso Setio, Bram van Ginneken, Colin Jacobs. 1013416 [doi]
- Mammographic phenotypes of breast cancer risk driven by breast anatomyAimilia Gastounioti, Andrew Oustimov, Meng Kang Hsieh, Lauren Pantalone, Emily F. Conant, Despina Kontos. 1013417 [doi]
- Validation of an image registration and segmentation method to measure stent graft motion on ECG-gated CT using a physical dynamic stent graft modelMaaike A. Koenrades, Ella M. Struijs, Almar Klein, Henny Kuipers, Robert H. Geelkerken, Cornelis H. Slump. 1013418 [doi]
- Automatic detection and quantification of pulmonary arterio-venous malformations in hereditary hemorrhagic telangiectasiaCatalin I. Fetita, Thierry Fortemps de Loneux, Amélé Florence Kouvahe, Mostafa El Hajjam. 1013419 [doi]
- Automated assessment of imaging biomarkers for the PanCan lung cancer risk prediction model with validation on NLST dataRafael Wiemker, Merlijn Sevenster, Heber MacMahon, Feng Li, Sandeep Dalal, Amir Tahmasebi, Tobias Klinder. 1013421 [doi]
- Quantitative analysis of CT attenuation distribution patterns of nodule components for pathologic categorization of lung nodulesChuan Zhou, Heang-Ping Chan, Jun Wei 0002, Lubomir M. Hadjiiski, Aamer Chughtai, Ella A. Kazerooni. 1013422 [doi]
- Contextual convolutional neural networks for lung nodule classification using Gaussian-weighted average image patchesHaeil Lee, Hansang Lee, Minseok Park, Junmo Kim. 1013423 [doi]
- Lung nodule malignancy prediction using multi-task convolutional neural networkXiuli Li, Yueying Kao, Wei Shen, Xiang Li, Guotong Xie. 1013424 [doi]
- Predictive capabilities of statistical learning methods for lung nodule malignancy classification using diagnostic image features: an investigation using the Lung Image Database Consortium datasetMatthew C. Hancock, Jerry F. Magnan. 1013425 [doi]
- Developing a radiomics framework for classifying non-small cell lung carcinoma subtypesDongdong Yu, Yali Zang, Di Dong, Mu Zhou, Olivier Gevaert, Mengjie Fang, Jingyun Shi, Jie Tian. 1013426 [doi]
- Support vector machines for prostate lesion classificationAndy Kitchen, Jarrel Seah. 1013427 [doi]
- Prostate cancer diagnosis using deep learning with 3D multiparametric MRISaifeng Liu, Huaixiu Zheng, Yesu Feng, Wei Li. 1013428 [doi]
- Detection of prostate cancer on multiparametric MRIJarrel C. Y. Seah, Jennifer S. N. Tang, Andy Kitchen. 1013429 [doi]
- A novel 3D shape descriptor for automatic retrieval of anatomical structures from medical imagesFátima L. S. Nunes, Leila C. C. Bergamasco, Pedro Henrique Morais Delmondes, Miguel A. Galarreta-Valverde, Marcel P. Jackowski. 1013430 [doi]
- Application of convolutional artificial neural networks to echocardiograms for differentiating congenital heart diseases in a pediatric populationDouglas P. Perrin, Alejandra Bueno, Andrea Rodriguez, Gerald R. Marx, Pedro J. del Nido. 1013431 [doi]
- Fully automated calculation of cardiothoracic ratio in digital chest radiographsLin Cong, Luan Jiang, Gang Chen, Qiang Li. 1013432 [doi]
- Automatic grade classification of Barretts Esophagus through feature enhancementNoha Ghatwary, Amr Ahmed, Xujiong Ye, Hamid A. Jalab. 1013433 [doi]
- False positive reduction for wall thickness-based detection of colonic flat polyps via CT colonographyMarc Pomeroy, Lihong C. Li, Hao Han, Xinzhou Wei, Perry J. Pickhardt, Zhengrong Liang. 1013434 [doi]
- A new framework for detection of initial flat polyp candidates based on a dual level set competition modelHuafeng Wang, Lihong C. Li, Xinzhou Wei, Wanquan Liu, Yuehai Wang, Zhengrong Liang. 1013435 [doi]
- Electronic cleansing for CT colonography using spectral-driven iterative reconstructionRadin A. Nasirudin, Janne J. Näppi, Toru Hironaka, Rie Tachibana, Hiroyuki Yoshida. 1013436 [doi]
- Retinal health information and notification system (RHINO)Behdad Dashtbozorg, Jiong Zhang, Samaneh Abbasi-Sureshjani, Fan Huang, Bart M. ter Haar Romeny. 1013437 [doi]
- Automated detection of nerve fiber layer defects on retinal fundus images using fully convolutional network for early diagnosis of glaucomaRyusuke Watanabe, Chisako Muramatsu, Kyoko Ishida, Akira Sawada, Yuji Hatanaka, Tetsuya Yamamoto, Hiroshi Fujita 0001. 1013438 [doi]
- Inferring diagnosis and trajectory of wet age-related macular degeneration from OCT imagery of retinaJohn M. Irvine, Nastaran Ghadar, Steve Duncan, David Floyd, David O'Dowd, Kristie Lin, Tom Chang. 1013439 [doi]
- Compression fractures detection on CTAmir Bar, Lior Wolf, Orna Bergman Amitai, Eyal Toledano, Eldad Elnekave. 1013440 [doi]
- Detection of a slow-flow component in contrast-enhanced ultrasound of the synovia for the differential diagnosis of arthritisGaia Rizzo, Matteo Tonietto, Marco Castellaro, Bernd Raffeiner, Alessandro Coran, Ugo Fiocco, Roberto Stramare, Enrico Grisan. 1013441 [doi]
- Automated analysis of whole skeletal muscle for muscular atrophy detection of ALS in whole-body CT images: preliminary studyNaoki Kamiya, Kosuke Ieda, Xiangrong Zhou, Megumi Yamada, Hiroki Kato, Chisako Muramatsu, Takeshi Hara, Toshiharu Miyoshi, Takashi Inuzuka, Masayuki Matsuo, Hiroshi Fujita 0001. 1013442 [doi]
- Automated grading of lumbar disc degeneration via supervised distance metric learningXiaoxu He, Mark Landis, Stephanie Leung, James Warrington, Olga Shmuilovich, Shuo Li. 1013443 [doi]
- Individual bone structure segmentation and labeling from low-dose chest CTShuang Liu, Yiting Xie, Anthony P. Reeves. 1013444 [doi]
- Can multivariate models based on MOAKS predict OA knee pain? Data from the Osteoarthritis InitiativeCarlos D. Luna-Gómez, Laura A. Zanella-Calzada, Miguel A. Acosta-García, Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada, José M. Celaya-Padilla. 1013445 [doi]
- Automatic lumbar spine measurement in CT imagesYunxiang Mao, Dong Zheng, Shu Liao, Zhigang Peng, Ruyi Yan, Junhua Liu, Zhongxing Dong, Liyan Gong, Xiang Sean Zhou, Yiqiang Zhan, Jun Fei. 1013446 [doi]
- Automatic vertebral bodies detection of x-ray images using invariant multiscale template matchingMona Sharifi Sarabi, Diane Villaroman, Joel Beckett, Mark Attiah, Logan Marcus, Christine S. Ahn, Diana Babayan, Bilwaj Gaonkar, Luke Macyszyn, Cauligi Raghavendra. 1013447 [doi]
- Automatic segmentation of lumbar vertebrae in CT imagesAmruta Kulkarni, Akshita Raina, Mona Sharifi Sarabi, Christine S. Ahn, Diana Babayan, Bilwaj Gaonkar, Luke Macyszyn, Cauligi Raghavendra. 1013448 [doi]
- Apply radiomics approach for early stage prognostic evaluation of ovarian cancer patients: a preliminary studyGopichandh Danala, Yunzhi Wang, Theresa C. Thai, Camille Gunderson, Katherine Moxley, Kathleen N. Moore, Robert Mannel, Hong Liu, Bin Zheng, Yuchen Qiu. 1013449 [doi]