Table of Contents

• Prediction of prostate cancer aggressiveness using quantitative radiomic features using multi-parametric MRIJulip Jung, Helen Hong, Young-Gi Kim, Sung Il Hwang, Hak Jong Lee. [doi]
• A multitask deep learning method in simultaneously predicting occult invasive disease in ductal carcinoma in-situ and segmenting microcalcifications in mammographyRui Hou 0002, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo. [doi]
• Fully automated spectral envelope and peak velocity detection from Doppler echocardiography imagesGhada Zamzmi, Li-yueh Hsu, Wen Li, Vandana Sachdev, Sameer K. Antani. [doi]
• Benign and malignant thyroid classification using computed tomography radiomicsBangjun Guo, Xiuxiu He, Tonghe Wang, Yang Lei 0002, Walter J. Curran, Tian Liu 0004, Longjiang Zhang, Xiaofeng Yang 0005. [doi]
• Automatic liver segmentation in abdominal CT images using combined 2.5D and 3D segmentation networks with high-score shape prior for radiotherapy treatment planningJulip Jung, Helen Hong, Tae-Sik Jeong, Jinsil Seong, Jin-Sung Kim. [doi]
• Lung vessel suppression and its effect on nodule detection in chest CT scansXiaomeng Gu, Weiyang Xie, Qiming Fang, Jun Zhao, Qiang Li. [doi]
• Automatic detection and classification of abnormal tissues on digital mammograms based on a bag-of-visual-words approachErick Rodríguez-Esparza, Laura A. Zanella-Calzada, Diego Oliva, Marco Pérez Cisneros. [doi]
• Hazards of data leakage in machine learning: a study on classification of breast cancer using deep neural networksRavi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Sathvik Koneru. [doi]
• A combination of intra- and peri-tumoral deep features from prostate bi-parametric MRI can distinguish clinically significant and insignificant prostate cancerAmogh Hiremath, Rakesh Shiradkar, Nathaniel Braman, Prateek Prasanna, Ardeshir R. Rastinehad, Andrei Purysko, Anant Madabhushi. [doi]
• Multi-task learning for mortality prediction in LDCT imagesHengtao Guo, Melanie Krüger, Ge Wang 0001, Mannudeep K. Kalra, Pingkun Yan. [doi]
• Multi-modal deep learning for predicting progression of Alzheimer's disease using bi-linear shake fusionTsubasa Goto, Caihua Wang, Yuanzhong Li, Yukihiro Tsuboshita. [doi]
• Predicting treatment outcome of intracranial aneurysms using angiographic parametric imaging and recurrent neural networksMohammad Mahdi Shiraz Bhurwani, Mohammad Waqas, Kyle A. Williams, Ryan A. Rava, Alexander R. Podgorsak, Kenneth V. Snyder, Elad I. Levy, Jason M. Davies, Adnan H. Siddiqui, Ciprian N. Ionita. [doi]
• Standardization of blood flow measurements by automated vascular analysis from power Doppler ultrasound scanYi Yin, Padraig T. Looney, Sally L. Collins. [doi]
• Visualising decision-reasoning regions in computer-aided pathological pattern diagnosis of endoscytoscopic images based on CNN weights analysisHayato Itoh, Zhongyang Lu, Yuichi Mori, Masashi Misawa, Masahiro Oda, Shin-ei Kudo, Kensaku Mori. [doi]
• Multi-modal component subspace-similarity-based multi-kernel SVM for schizophrenia classificationShuang Gao, Vince D. Calhoun, Jing Sui. [doi]
• MRI image harmonization using cycle-consistent generative adversarial networkGourav Modanwal, Adithya Vellal, Mateusz Buda, Maciej A. Mazurowski. [doi]
• Survey of image denoising methods for medical image classificationPeter F. Michael, Hong-Jun Yoon. [doi]
• Genetic algorithm for machine learning architecture selection for breast MRI classificationPeter S. Carras, Carina Pereira, Debosmita Biswas, Christoph I. Lee, Savannah C. Partridge, Adam M. Alessio. [doi]
• Knee orientation detection in MR scout scans using 3D U-netChen Li, Parmeet S. Bhatia, Yu Zhao. [doi]
• A data-driven approach for stratifying psychotic and mood disorders subjects using structural magnitude resonance imaging dataHooman Rokham, Haleh Falakshahi, Vince D. Calhoun. [doi]
• Case-based repeatability of machine learning classification performance on breast MRIMichael Vieceli, Amy Van Dusen, Karen Drukker, Hiroyuki Abe, Maryellen L. Giger, Heather M. Whitney. [doi]
• A hypersensitive breast cancer detector (Conference Presentation)Stefano Pedemonte. [doi]
• Deep convolutional neural networks for molecular subtyping of gliomas using magnetic resonance imagingDong Wei 0004, Yiming Li, Yinyan Wang, Tianyi Qian, Yefeng Zheng 0001. [doi]
• Cascading YOLO: automated malaria parasite detection for Plasmodium vivax in thin blood smearsFeng Yang, Nicolas Quizon, Hang Yu, Kamolrat Silamut, Richard James Maude, Stefan Jaeger 0001, Sameer K. Antani. [doi]
• Attention-deficit/hyperactivity disorder prediction using graph convolutional networksSeyed Saman Saboksayr, John J. Foxe, Axel Wismüller. [doi]
• The field effect in Barrett's Esophagus: a macroscopic view using white light endoscopy and deep learningLevi Verhage, Joost van der Putten, Fons van der Sommen, Jeroen de Groof, Maarten R. Struyvenberg, Peter H. N. de With. [doi]
• A hyperacute stroke segmentation method using 3D U-Net integrated with physicians' knowledge for NCCTTakuya Fuchigami, Sadato Akahori, Takayuki Okatani, Yuanzhong Li. [doi]
• Integration of optical and virtual colonoscopy images for enhanced classification of colorectal polypsMarc Jason Pomeroy, Yi Wang, Anushka Banerjee, Almas F. Abbasi, Matthew A. Barish, Edward Sun, Juan Carlos Bucobo, Perry J. Pickhardt, Zhengrong Liang. [doi]
• Neural networks for in situ detection of glioma infiltration using optical coherence tomographyRonald M. Juarez-Chambi, Carmen Kut, Kaisorn L. Chaichana, Alfredo Quinones-Hinojosa, Xingde Li, Javier A. Jo. [doi]
• Investigation of the accuracy of classifying coronary artery disease severity using machine learning with subdomain analysis of fractional flow reserve diagnosis in patientsAlexander R. Podgorsak, Kelsey N. Sommer, Vijay Iyer, Michael F. Wilson, Frank J. Rybicki, Dimitrios Mitsouras, Umesh Sharma, Kanako K. Kumamaru, Erin Angel, Ciprian N. Ionita. [doi]
• Bone suppression on chest radiographs with adversarial learningJia Liang, YuXing Tang, Youbao Tang, Jing Xiao 0006, Ronald M. Summers. [doi]
• Convolutional neural network-based decision support system for bladder cancer staging in CT urography: decision threshold estimation and validationDaniel Hoklai Chapman-Sung, Lubomir M. Hadjiiski, Dhanuj Gandikota, Heang-Ping Chan, Ravi Samala, Elaine M. Caoili, Richard H. Cohan, Alon Z. Weizer, Ajjai Alva, Chuan Zhou 0002. [doi]
• Synthesize CT from paired MRI of the same patient with patch-based generative adversarial networkYan Li, Jun Wei 0002, Zhenyu Qi, Ying Sun, Yao Lu 0007. [doi]
• DCGANs for realistic breast mass augmentation in x-ray mammographyBasel Alyafi, Oliver Díaz, Robert Marti. [doi]
• Radiomics-based texture analysis of idiopathic pulmonary fibrosis for genetic and survival predictionsJorie D. Budzikowski, Ahmed A. Rashid, Joseph J. Foy, Jonathan H. Chung, Imre Noth, Samuel G. Armato III. [doi]
• Assessment of CT image reconstruction parameters on radiomic features in a lung cancer screening cohort: the PROSPR studyBabak Haghighi, Peter B. Noël, Eric A. Cohen, Lauren Pantalone, Anil Vachani, Katharine A. Rendle, Jocelyn Wainwright, Chelsea Saia, Eduardo Jose Mortani Barbosa Jr., Despina Kontos. [doi]
• Weakly-supervised US breast tumor characterization and localization with a box convolution networkChanho Kim, Won Hwa Kim, Hye-Jung Kim, Jaeil Kim. [doi]
• Performance comparison of different loss functions for digital breast tomosynthesis classification using 3D deep learning modelEmine Doganay, Yahong Luo, Long Gao, Puchen Li, Wendie A. Berg, Shandong Wu. [doi]
• Semi-supervised learning for predicting total knee replacement with unsupervised data augmentationJimin Tan, Bofei Zhang, KyungHyun Cho, Gregory Chang, Cem M. Deniz. [doi]
• Comparative performance of 3D machine-learning and deep-learning models in the detection of small polyps in dual-energy CT colonographyJanne J. Näppi, Tomoki Uemura, Se Hyung Kim, Hyoungseop Kim, Hiroyuki Yoshida. [doi]
• Decision fusion on image analysis and tympanometry to detect eardrum abnormalitiesHamidullah Binol, Aaron C. Moberly, M. Khalid Khan Niazi, Garth Essig, Jay Shah, Charles Elmaraghy, Theodoros Teknos, Nazhat Taj-Schaal, Lianbo Yu, Metin N. Gurcan. [doi]
• Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation featuresAnindo Saha, Fakrul Islam Tushar, Khrystyna Faryna, Vincent M. D'Anniballe, Rui Hou 0002, Maciej A. Mazurowski, Geoffrey D. Rubin, Joseph Y. Lo. [doi]
• Interpretable deep learning regression for breast density estimation on MRIBas H. M. van der Velden, Max A. A. Ragusi, Markus H. A. Janse, Claudette E. Loo, Kenneth G. A. Gilhuijs. [doi]
• Direct classification of type 2 diabetes from retinal fundus images in a population-based sample from the Maastricht studyFriso G. Heslinga, Josien P. W. Pluim, A. J. H. M. Houben, Miranda T. Schram, Ronald M. A. Henry, Coen D. A. Stehouwer, Marleen J. van Greevenbroek, Tos T. J. M. Berendschot, Mitko Veta. [doi]
• Automated detection and segmentation of mediastinal and axillary lymph nodes from CT using foveal fully convolutional networksHeike Carolus, Andra-Iza Iuga, Tom Brosch, Rafael Wiemker, Frank Thiele, Anna J. Höink, David Maintz, Michael Püsken, Tobias Klinder. [doi]
• 3D thyroid segmentation in CT using self-attention convolutional neural networkXiuxiu He, Bangjun Guo, Yang Lei 0002, Yingzi Liu, Tonghe Wang, Walter J. Curran, Longjiang Zhang, Tian Liu 0004, Xiaofeng Yang 0005. [doi]
• Melanoma detection with electrical impedance spectroscopy and dermoscopy using joint deep learning modelsNils Gessert, Marcel Bengs, Alexander Schlaefer. [doi]
• Deep learning methods for segmentation of lines in pediatric chest radiographsRyan Sullivan, Gregory Holste, Jonathan Burkow, Adam M. Alessio. [doi]
• Microcalcification localization and cluster detection using unsupervised convolutional autoencoders and structural similarity indexYifan Peng, Rui Hou 0002, Yinhao Ren, Lars J. Grimm, Jeffrey R. Marks, Eun-Sil Shelley Hwang, Joseph Y. Lo. [doi]
• Differential diagnosis of pulmonary nodules using 3D CT imagesTakeru Kageyama, Yoshiki Kawata, Noboru Niki, Masahiko Kusumoto, Yoshiki Aokage, Genichiro Ishii, Hironobu Ohmatsu, Takaaki Tsuchida, Yuji Matsumoto 0004, Kenji Eguchi, Masahiro Kaneko. [doi]
• Lung tumor segmentation using coupling-net with shape-focused prior on chest CT images of non-small cell lung cancer patientsSohyun Byun, Julip Jung, Helen Hong, Hoonil Oh, Bong-seog Kim. [doi]
• "Lesion-habitat" radiomics to distinguish radiation necrosis from tumor recurrence on post-treatment MRI in metastatic brain tumorsRamon Correa, Qiu Lei, Jonathan Chen, Johnathan Zeng, Jennifer Yu, Pallavi Tiwari. [doi]
• Evaluating texture-based prostate cancer classification on multi-parametric magnetic resonance imaging and prostate specific membrane antigen positron emission tomographyRyan Alfano, Glenn S. Bauman, Jonathan D. Thiessen, Irina Rachinsky, William Pavlosky, John Butler, Mena Gaed, Madeleine Moussa, José A. Gómez, Joseph L. Chin, Stephen E. Pautler, Aaron D. Ward. [doi]
• Renal parenchyma segmentation in abdominal CT images based on deep convolutional neural networks with similar atlas selection and transformationHyeonjin Kim, Helen Hong, Koon Ho Rha. [doi]
• Multi-site evaluation of stable radiomic features for more accurate evaluation of pathologic downstaging on MRI after chemoradiation for rectal cancersAmrish Selvam, Jacob Antunes, Kaustav Bera, Asya Ofshteyn, Justin T. Brady, Katherine Bingmer, Kenneth Friedman, Sharon Stein, Rajmohan Paspulati, Andrei Purysko, Matthew Kalady, Anant Madabhushi, Satish E. Viswanath. [doi]
• Artificially augmenting data or adding more samples? A study on a 3D CNN for lung nodule classificationPanagiotis Gonidakis, Bart Jansen, Jef Vandemeulebroucke. [doi]
• Comparison of CNN architectures and training strategies for quantitative analysis of idiopathic interstitial pneumoniaSimon Rennotte, Pierre-Yves Brillet, Catalin I. Fetita. [doi]
• Association analysis of SNPs with CT image-based phenotype of emphysema progression in heavy smokersHidenobu Suzuki, Mikio Matsuhiro, Yoshiki Kawata, Noboru Niki, Issei Imoto, Yasutaka Nakano, Masahiko Kusumoto, Masahiro Kaneko. [doi]
• Survival prediction of liver cancer patients from CT images using deep learning and radiomic feature-based regressionHansang Lee, Helen Hong, Jinsil Seong, Jin-Sung Kim, Junmo Kim. [doi]
• Simulating breast mammogram using conditional generative adversarial network: application towards finding mammographically-occult cancerJuhun Lee, Robert M. Nishikawa. [doi]
• Automatic estimation of knee joint space narrowing by deep learning segmentation algorithmsAlbert Swiecicki, Nicholas Said, Jonathan O'Donnell, Mateusz Buda, Nianyi Li, William A. Jiranek, Maciej A. Mazurowski. [doi]
• Spatio-spectral deep learning methods for in-vivo hyperspectral laryngeal cancer detectionMarcel Bengs, Stephan Westermann, Nils Gessert, Dennis Eggert, Andreas O. H. Gerstner, Nina A. Müller, Christian Betz, Wiebke Laffers, Alexander Schlaefer. [doi]
• 3D U-Net for segmentation of pulmonary nodules in volumetric CT scans from multi-annotator truth estimationWilliam Funke, Benjamin Veasey, Jacek M. Zurada, Hichem Frigui, Amir A. Amini. [doi]
• An extended-2D CNN for multiclass Alzheimer's Disease diagnosis through structural MRIMariana Pereira, Irene Fantini, Roberto de Alencar Lotufo, Letícia Rittner. [doi]
• Diagnosis of Parkinson's Disease with a hybrid feature selection algorithm based on a discrete artificial bee colonyHaolun Li, Rui Zong, Xin Xu, Longsheng Pan, Qionghai Dai, Feng Xu 0005, Hao Gao 0005, Wensheng Wang. [doi]
• Robust radiomic feature selection in digital mammography: understanding the effect of imaging acquisition physics using phantom and clinical data analysisRaymond Joseph Acciavatti, Eric A. Cohen, Omid Haji Maghsoudi, Aimilia Gastounioti, Lauren Pantalone, Meng Kang Hsieh, Emily F. Conant, Christopher G. Scott, Stacey J. Winham, Karla Kerlikowske, Celine Vachon, Andrew D. A. Maidment, Despina Kontos. [doi]
• Deciphering tissue relaxation parameters from a single MR image using deep learningYan Wu 0012, Yajun Ma, Jiang Du, Lei Xing 0001. [doi]
• Automatic brain arteriovenous malformations segmentation on contrast CT images using combined region proposal network and V-NetYabo Fu, Yang Lei 0002, Tonghe Wang, Xiaojun Jiang, Walter J. Curran, Tian Liu 0004, Hui-Kuo Shu, Xiaofeng Yang 0005. [doi]
• Accurately identifying vertebral levels in large datasetsDaniel C. Elton, Veit Sandfort, Perry J. Pickhardt, Ronald M. Summers. [doi]
• A multidimensional scaling and sample clustering to obtain a representative subset of training data for transfer learning-based rosacea lesion identificationHamidullah Binol, M. Khalid Khan Niazi, Alisha Plotner, Jennifer Sopkovich, Benjamin Kaffenberger, Metin N. Gurcan. [doi]
• EDICNet: An end-to-end detection and interpretable malignancy classification network for pulmonary nodules in computed tomographyYannan Lin, Leihao Wei, Simon X. Han, Denise R. Aberle, William Hsu. [doi]
• Multi-resolution CNN for brain vessel segmentation from cerebrovascular images of intracranial aneurysm: a comparison of U-Net and DeepMedicTatsat R. Patel, Nikhil Paliwal, Prakhar Jaiswal, Muhammad Waqas, Maxim Mokin, Adnan H. Siddiqui, Hui Meng, Rahul Rai, Vincent M. Tutino. [doi]
• Will AI make me a better doctor? (Conference Presentation)Jonathan Wiener. [doi]
• Deep learning with context encoding for semantic brain tumor segmentation and patient survival predictionLinmin Pei, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin. [doi]
• Segmentation of uterus and placenta in MR images using a fully convolutional neural networkMaysam Shahedi, James D. Dormer, T. T. Anusha Devi, Quyen N. Do, Yin Xi, Matthew A. Lewis, Ananth J. Madhuranthakam, Diane M. Twickler, Baowei Fei. [doi]
• Combining deep and hand-crafted MRI features for identifying sex-specific differences in autism spectrum disorder versus controlsYashas Hiremath, Marwa Ismail, Ruchika Verma, Jacob Antunes, Pallavi Tiwari. [doi]
• Performance deterioration of deep neural networks for lesion classification in mammography due to distribution shift: an analysis based on artificially created distribution shiftAlexej Gossmann, Kenny H. Cha, Xudong Sun 0002. [doi]
• Explainable AI for medical imaging: deep-learning CNN ensemble for classification of estrogen receptor status from breast MRIZachary Papanastasopoulos, Ravi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Chintana Paramagul, Mark A. Helvie, Colleen H. Neal. [doi]
• Decision fusion of 3D convolutional neural networks to triage patients with suspected prostate cancer using volumetric biparametric MRIPritesh Mehta, Michela Antonelli, Hashim Uddin Ahmed, Mark Emberton, Shonit Punwani, Sébastien Ourselin. [doi]
• Hyperparameter selection for ResNet classification of malignancy from thyroid ultrasound imagesJoseph Cox, Sydney Rubin, Joe Adams, Carina Pereira, Manjiri Dighe, Adam M. Alessio. [doi]
• U-radiomics for predicting survival of patients with idiopathic pulmonary fibrosisTomoki Uemura, Chinatsu Watari, Janne J. Näppi, Toru Hironaka, Hyoungseop Kim, Hiroyuki Yoshida. [doi]
• Radiomics and artificial intelligence analysis of CT data for the identification of prognostic features in multiple myelomaDaniela Schenone, Rita Lai, Michele Cea, Federica Rossi, Lorenzo Torri, Bianca Bignotti, Giulia Succio, Stefano Gualco, Alessio Conte, Alida Dominietto, Anna Maria Massone, Michele Piana, Cristina Campi, Francesco Frassoni, Gianmario Sambuceti, Alberto Tagliafico. [doi]
• Combining symmetric and standard deep convolutional representations for detecting brain hemorrhageArko Barman, Victor Lopez-Rivera, Songmi Lee, Farhaan S. Vahidy, James Z. Fan, Sean I. Savitz, Sunil A. Sheth, Luca Giancardo. [doi]
• Weakly-supervised lesion segmentation on CT scans using co-segmentationVatsal Agarwal, Youbao Tang, Jing Xiao 0006, Ronald M. Summers. [doi]
• Automatic Kellgren-Lawrence grade estimation driven deep learning algorithmsNianyi Li, Albert Swiecicki, Nicholas Said, Jonathan O'Donnell, William A. Jiranek, Maciej A. Mazurowski. [doi]
• Usefulness of fine-tuning for deep learning based multi-organ regions segmentation method from non-contrast CT volumes using small training datasetYuichiro Hayashi, Chen Shen 0002, Holger R. Roth, Masahiro Oda, Kazunari Misawa, Masahiro Jinzaki, Masahiro Hashimoto, Kanako K. Kumamaru, Shigeki Aoki, Kensaku Mori. [doi]
• Quality controlled segmentation to aid disease detectionMehdi Moradi, Ken C. L. Wong, Alexandros Karargyris, Tanveer F. Syeda-Mahmood. [doi]
• Verification of accuracy of an algorithmic image-based dental pulp vitality testSarah Bi, Laura Martinez, Justin Bequette, Andrew Peitzsch, William D'Angelo. [doi]
• Automatic detection of brain metastases using 3D mask R-CNN for stereotactic radiosurgeryYang Lei 0002, Zhen Tian, Shannon Kahn, Walter J. Curran, Tian Liu 0004, Xiaofeng Yang 0005. [doi]
• Organ segmentation from full-size CT images using memory-efficient FCNChenglong Wang, Masahiro Oda, Kensaku Mori. [doi]
• Machine learning and deep learning approaches for classification of sub-cm lung nodules in CT scans (Conference Presentation)Rohan Abraham, Ian Janzen, Saeed Seyyedi, Sukhinder Khattra, John Mayo, Ren Yuan, Renelle Myers, Stephen Lam, Calum E. MacAulay. [doi]
• Machine learning methods to predict presence of intestine damage in patients with Crohn's diseaseBinu Enchakolody, Brianna Henderson, Stewart C. Wang, Grace L. Su, Ashish P. Wasnik, Mahmoud M. Al-Hawary, Ryan W. Stidham. [doi]
• Adaptation of a deep learning malignancy model from full-field digital mammography to digital breast tomosynthesisSadanand Singh, Thomas Paul Matthews, Meet Shah 0001, Brent Mombourquette, Trevor Tsue, Aaron Long, Ranya Almohsen, Stefano Pedemonte, Jason Su. [doi]
• Using ResNet feature extraction in computer-aided diagnosis of breast cancer on 927 lesions imaged with multiparametric MRIQiyuan Hu, Heather M. Whitney, Maryellen L. Giger. [doi]
• Evaluating several ways to combine handcrafted features-based system with a deep learning system using the LUNA16 Challenge frameworkAlexander Sóñora-Mengan, Panagiotis Gonidakis, Bart Jansen, Juan Carlos García-Naranjo, Jef Vandemeulebroucke. [doi]
• Radiomic features derived from periprostatic fat on pre-surgical T2w MRI predict extraprostatic extension of prostate cancer identified on post-surgical pathology: preliminary resultsRakesh Shiradkar, Ruyuan Zuo, Amr Mahran, Lee Ponsky, Sree Harsha Tirumani, Anant Madabhushi. [doi]
• A multi-stage fusion strategy for multi-scale GLCM-CNN model in differentiating malignant from benign polypsJiaxing Tan, Shu Zhang 0006, Weiguo Cao, Yongfeng Gao, Lihong Li 0002, Yumei Huo, Zhengrong Liang. [doi]
• Siamese neural networks for the classification of high-dimensional radiomic featuresAbhishaike Mahajan, James D. Dormer, Qinmei Li, Deji Chen 0001, Zhenfeng Zhang, Baowei Fei. [doi]
• CNN-based detection of distal tibial fractures in radiographic images in the setting of open growth platesZbigniew Starosolski, J. Herman Kan, Ananth V. Annapragada. [doi]
• False positive reduction of vasculature for pulmonary nodule detectionColin B. Hansen, Yiyuan Zhao, Halid Ziya Yerebakan, Luca Bogoni, Anna K. Jerebko. [doi]
• Segmentation of retinal low-cost optical coherence tomography images using deep learningTimo Kepp, Helge Sudkamp, Claus von der Burchard, Hendrik Schenke, Peter Koch 0007, Gereon Hüttmann, Johann Roider, Mattias P. Heinrich, Heinz Handels. [doi]
• Advanced magnetic resonance imaging based algorithm for local grading of gliomaEvan D. H. Gates, Jonathan S. Lin, Jeffrey S. Weinberg, Sujit S. Prabhu, Jackson Hamilton, John D. Hazle, Gregory N. Fuller, Veera Baladandayuthapani, David T. Fuentes, Dawid Schellingerhout. [doi]
• Automated eye disease classification method from anterior eye image using anatomical structure focused image classification techniqueMasahiro Oda, Takefumi Yamaguchi, Hideki Fukuoka, Yuta Ueno, Kensaku Mori. [doi]
• Performance investigation of deep learning vs. classifier for polyp differentiation via texture featuresDavid Liang, David Wang, Alice Wei, Yeseul Choi, Shu Zhang 0006, Marc Jason Pomeroy, Perry J. Pickhardt. [doi]
• Machine learning-powered prediction of recurrence in patients with non-small cell lung cancer using quantitative clinical and radiomic biomarkersSehwa Moon, Dahim Choi, Ji Yeon Lee, Myoung-Hee Kim, Helen Hong, Bong-seog Kim, Jang-Hwan Choi 0001. [doi]
• Computer-assisted quantification of surgical outcome in infants with sagittal craniosynostosis in 3D head CT images using mean normal skull modelMin Jin Lee, Helen Hong, Kyu Won Shim. [doi]
• Mask R-CNN based coronary artery segmentation in coronary computed tomography angiographyYabo Fu, Bangjun Guo, Yang Lei 0002, Tonghe Wang, Tian Liu 0004, Walter J. Curran, Longjiang Zhang, Xiaofeng Yang 0005. [doi]
• Cascade of U-Nets in the detection and classification of coronary artery calcium in thoracic low-dose CTJordan D. Fuhrman, Rowena Yip, Artit C. Jirapatnakul, Claudia I. Henschke, David F. Yankelevitz, Maryellen L. Giger. [doi]
• Automatic detection of contrast enhancement in T1-weighted brain MRI of human adultsMikhail Milchenko, Pamela LaMontagne, Daniel S. Marcus. [doi]
• Attention-guided classification of abnormalities in semi-structured computed tomography reportsKhrystyna Faryna, Fakrul Islam Tushar, Vincent M. D'Anniballe, Rui Hou 0002, Geoffrey D. Rubin, Joseph Y. Lo. [doi]
• Comparative performance of 3D-DenseNet, 3D-ResNet, and 3D-VGG models in polyp detection for CT colonographyTomoki Uemura, Janne J. Näppi, Toru Hironaka, Hyoungseop Kim, Hiroyuki Yoshida. [doi]
• Deformation robust texture features for polyp classification via CT colonographyWeiguo Cao, Marc Jason Pomeroy, Shu Zhang 0006, Perry J. Pickhardt, Hongbing Lu, Zhengrong Liang. [doi]
• Multilevel UNet for pancreas segmentation from non-contrast CT scans through domain adaptationSai Aditya Sriram, Angshuman Paul, Yingying Zhu 0003, Veit Sandfort, Perry J. Pickhardt, Ronald M. Summers. [doi]
• Active semi-supervised expectation maximization learning for lung cancer detection from Computerized Tomography (CT) images with minimally label training dataPhuong Nguyen, David Chapman 0001, Sumeet Menon, Michael Morris, Yelena Yesha. [doi]
• Computer-aided staging of gastric cancer using radiomics signature on computed tomography imagingLili Wang, Jie Wu, Guang Yang, Bin Zheng. [doi]
• Cup-disc and retinal nerve fiber layer features fusion for diagnosis glaucomaHong Kang, Xiaoxing Li, Xiu Su. [doi]
• Automated discomfort detection for premature infants in NICU using time-frequency feature-images and CNNsYue Sun, Deedee Kommers, Tao Tan, Wenjin Wang, Xi Long, Caifeng Shan, Carola van Pul, Ronald M. Aarts, Peter Andriessen, Peter H. N. de With. [doi]
• A deep learning based integration of multiple texture patterns from intensity, gradient and curvature GLCMs in differentiating the malignant from benign polypsShu Zhang 0006, Weiguo Cao, Marc Jason Pomeroy, Yongfeng Gao, Jiaxing Tan, Zhengrong Liang. [doi]
• Detecting age-related macular degeneration (AMD) biomarker images using MFCC and texture featuresYiyang Wang, Xufan Ma, Rob Weddell, Abum Okemgbo, David Rein, Amani A. Fawzi, Jacob Furst, Daniela Raicu. [doi]
• The efficacy of microaneurysms detection with and without vessel segmentation in color retinal imagesMeysam Tavakoli, Mahdieh Nazar, Alireza Mehdizadeh. [doi]
• Weak supervision in convolutional neural network for semantic segmentation of diffuse lung diseases using partially annotated datasetYuki Suzuki, Kazuki Yamagata, Yanagawa Masahiro, Shoji Kido, Noriyuki Tomiyama. [doi]
• Visualizing intestines for diagnostic assistance of ileus based on intestinal region segmentation from 3D CT imagesHirohisa Oda, Kohei Nishio, Takayuki Kitasaka, Hizuru Amano, Aitaro Takimoto, Hiroo Uchida, Kojiro Suzuki, Hayato Itoh, Masahiro Oda, Kensaku Mori. [doi]
• Automatic classification of carotid ultrasound images based on convolutional neural networkYujiao Xia, Xinyao Cheng, Aaron Fenster, Mingyue Ding. [doi]
• Large-scale Extended Granger Causality (lsXGC) for classification of Autism Spectrum Disorder from resting-state functional MRIAxel Wismüller, John J. Foxe, Paul Geha, Seyed Saman Saboksayr. [doi]
• Organ-at-Risk (OAR) segmentation in head and neck CT using U-RCNNYang Lei 0002, Joseph Harms, Xue-dong, Tonghe Wang, Xiangyang Tang, David S. Yu, Jonathan J. Beitler, Walter J. Curran, Tian Liu 0004, Xiaofeng Yang 0005. [doi]
• Generating high resolution digital mammogram from digitized film mammogram with conditional generative adversarial networkYuanpin Zhou, Jun Wei 0002, Mark A. Helvie, Heang-Ping Chan, Chuan Zhou 0002, Lubomir M. Hadjiiski, Yao Lu 0007. [doi]
• Generative adversarial network-based image completion to identify abnormal locations in digital breast tomosynthesis imagesAlbert Swiecicki, Mateusz Buda, Ashirbani Saha, Nianyi Li, Sujata V. Ghate, Ruth Walsh, Maciej A. Mazurowski. [doi]
• Automatic polyp detection and localization during colonoscopy using convolutional neural networksDiego Bravo, Josué Ruano, Martín-Gómez, Eduardo Romero 0001. [doi]
• Classification of lesion specific myocardial ischemia using cardiac computed tomography radiomicsXiuxiu He, Bangjun Guo, Tonghe Wang, Yang Lei 0002, Tian Liu 0004, Longjiang Zhang, Xiaofeng Yang 0005. [doi]
• Deep learning predicts breast cancer recurrence in analysis of consecutive MRIs acquired during the course of neoadjuvant chemotherapyKaren Drukker, Alexandra Edwards, John Papaioannou, Maryellen L. Giger. [doi]
• Feasibility of end-to-end trainable two-stage U-Net for detection of axillary lymph nodes in contrast-enhanced CT based on sparse annotationsHidir Cem Altun, Grzegorz Chlebus, Colin Jacobs, Hans Meine, Bram van Ginneken, Horst K. Hahn. [doi]
• Prediction of MCI to AD risk of conversion survival models: qMRI vs CSF measures and cognitive assessmentsJorge Orozco-Sanchez, José G. Tamez-Peña. [doi]
• A post-acquisition standardization method for positron emission tomography imagesAliasghar Mortazi, Jayaram K. Udupa, Yubing Tong, Drew A. Torigian. [doi]
• Investigation of sex hormones on the early diagnosis of schizophreniaPeilun Song, Yaping Wang, Xiujuan Geng, Xueqin Song. [doi]
• Hybrid deep-learning model for volume segmentation of lung nodules in CT imagesYifan Wang, Chuan Zhou 0002, Heang-Ping Chan, Lubomir M. Hadjiiski, Jun Wei 0002, Aamer Chughtai, Ella A. Kazerooni. [doi]
• Prognostic power of the human psoas muscles FDG metabolism in amyotrophic lateral sclerosisRita Lai, Daniela Schenone, Gianmario Sambuceti, Anna Maria Massone, Cristina Campi, Adriano Chiò, Claudia Caponnetto, Angelina Cistaro, Matteo Bauckneht, Vanessa Cossu, Silvia Morbelli, Cecilia Marini, Michele Piana. [doi]
• Bladder wall segmentation using U-net based deep learningMichael Ivanitskiy, Lubomir M. Hadjiiski, Heang-Ping Chan, Ravi Samala, Richard H. Cohan, Elaine M. Caoili, Alon Z. Weizer, Ajjai Alva, Jun Wei 0002, Chuan Zhou 0002. [doi]
• Architectural distortion detection approach guided by mammary gland spatial pattern in digital breast tomosynthesisYue Li, Zheng Xie, Zilong He, Xiangyuan Ma, Yanhui Guo, Weiguo Chen, Yao Lu 0007. [doi]
• Computer-aided detection of focal bone metastases from whole-body multi-modal MRIJakub Ceranka, Frédéric Lecouvet, Johan de Mey, Jef Vandemeulebroucke. [doi]
• Improvement of classification performance using harmonization across field strength of radiomic features extracted from DCE-MR images of the breastHeather M. Whitney, Maryellen L. Giger. [doi]
• Robust hepatic vessels segmentation model based on noisy datasetLi Liu, Jiang Tian, Cheng Zhong, Zhongchao Shi, Feiyu Xu. [doi]
• Dependence of radiomics features on CT image acquisition and reconstruction parameters using a cadaveric liverJoseph J. Foy, Inna H. Gertsenshteyn, Hania A. Al-Hallaq, Samuel G. Armato III, William F. Sensakovic. [doi]
• Fast few-shot transfer learning for disease identification from chest x-ray images using autoencoder ensembleAngshuman Paul, YuXing Tang, Ronald M. Summers. [doi]
• First steps into endoscopic video analysis for Barrett's cancer detection: challenges and opportunitiesJoost van der Putten, Jeroen de Groof, Fons van der Sommen, Maarten R. Struyvenberg, Svitlana Zinger, Wouter L. Curvers, Erik J. Schoon, Jacques J. Bergman, Peter H. N. de With. [doi]
• Generative synthetic adversarial network for internal bias correction and handling class imbalance problem in medical image diagnosisMina Rezaei, Tomoki Uemura, Janne Näppi, Hiroyuki Yoshida, Christoph Lippert, Christoph Meinel. [doi]
• Deep learning for pneumothorax detection and localization using networks fine-tuned with multiple institutional datasetsJennie Crosby, Thomas Rhines, Feng Li 0018, Heber MacMahon, Maryellen L. Giger. [doi]