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ORCIDMedical Imaging: Computer-Aided Diagnosis 2017: Orlando, Florida, USA
- Samuel G. Armato III, Nicholas A. Petrick:
Medical Imaging 2017: Computer-Aided Diagnosis, Orlando, Florida, United States, 11-16 February 2017. SPIE Proceedings 10134, SPIE 2017, ISBN 9781510607132
- Front Matter: Volume 10134. 1013401
Pelvis
- Marshall Gordon, Lubomir M. Hadjiiski
, Kenny H. Cha, Heang-Ping Chan, Ravi Samala, Richard H. Cohan, Elaine M. Caoili:
Segmentation of inner and outer bladder wall using deep-learning convolutional neural network in CT urography. 1013402 - Kenny H. Cha, Lubomir M. Hadjiiski, Heang-Ping Chan, Elaine M. Caoili, Richard H. Cohan, Alon Z. Weizer, Ravi K. Samala:
Computer-aided detection of bladder masses in CT urography (CTU). 1013403 - Kenny H. Cha, Lubomir M. Hadjiiski, Heang-Ping Chan, Ravi K. Samala, Richard H. Cohan, Elaine M. Caoili, Chintana Paramagul, Ajjai Alva, Alon Z. Weizer:
Bladder cancer treatment response assessment using deep learning in CT with transfer learning. 1013404 - Yohannes K. Tsehay, Nathan S. Lay, Holger R. Roth, Xiaosong Wang, Jin Tae Kwak, Baris Turkbey, Peter A. Pinto, Bradford J. Wood, Ronald M. Summers:
Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance images. 1013405 - Antonio R. Porras, Gemma Piella, Wonsang You, Catherine Limperopoulos, Marius George Linguraru:
Quantification of oxygen changes in the placenta from BOLD MR image sequences. 1013406
Lung I
- Sebastian Roberto Tarando, Catalin I. Fetita, Pierre-Yves Brillet:
Cascade of convolutional neural networks for lung texture classification: overcoming ontological overlapping. 1013407 - Yiting Xie, Mary Salvatore, Shuang Liu, Artit C. Jirapatnakul, David F. Yankelevitz, Claudia I. Henschke, Anthony P. Reeves:
Identification of early-stage usual interstitial pneumonia from low-dose chest CT scans using fractional high-density lung distribution. 1013408 - Sardar Hamidian, Berkman Sahiner, Nicholas Petrick, Aria Pezeshk:
3D convolutional neural network for automatic detection of lung nodules in chest CT. 1013409 - Ling Fu, Jingchen Ma, Yacheng Ren, Youn Seon Han, Jun Zhao:
Automatic detection of lung nodules: false positive reduction using convolution neural networks and handcrafted features. 101340A - Nastaran Emaminejad, Pechin Lo, Shahnaz Ghahremani, Grace H. Kim, Matthew S. Brown, Michael F. McNitt-Gray:
The effects of slice thickness and radiation dose level variations on computer-aided diagnosis (CAD) nodule detection performance in pediatric chest CT scans. 101340B - Ryosuke Kamesawa, Issei Sato, Shouhei Hanaoka, Yukihiro Nomura, Mitsutaka Nemoto, Naoto Hayashi, Masashi Sugiyama:
Lung lesion detection in FDG-PET/CT with Gaussian process regression. 101340C
Colon and GI
- Sander Klomp, Fons van der Sommen, Anne-Fré Swager, Svitlana Zinger, Erik J. Schoon, Wouter L. Curvers, Jacques J. Bergman, Peter H. N. de With:
Evaluation of image features and classification methods for Barrett's cancer detection using VLE imaging. 101340D - Rie Tachibana, Janne J. Näppi, Toru Hironaka, Se Hyung Kim, Hiroyuki Yoshida:
Deep multi-spectral ensemble learning for electronic cleansing in dual-energy CT colonography. 101340E - Patrick Brandao, Evangelos B. Mazomenos, Gastone Ciuti, Renato Caliò, Federico Bianchi, Arianna Menciassi, Paolo Dario, Anastasios Koulaouzidis, Alberto Arezzo, Danail Stoyanov:
Fully convolutional neural networks for polyp segmentation in colonoscopy. 101340F - Kensuke Umehara, Janne J. Näppi, Toru Hironaka, Daniele Regge, Takayuki Ishida, Hiroyuki Yoshida:
Deep ensemble learning of virtual endoluminal views for polyp detection in CT colonography. 101340G - Janne J. Näppi, Perry J. Pickhardt, David H. Kim, Toru Hironaka, Hiroyuki Yoshida:
Deep learning of contrast-coated serrated polyps for computer-aided detection in CT colonography. 101340H - Harmanpreet Singh, Lihong C. Li, Marc J. Pomeroy, Perry J. Pickhardt, Matthew A. Barish, Donald P. Harrington, Zhengrong Liang:
A study of oral contrast coating on the surface of polyps: an implication for computer-aided detection and classification of polyps. 101340I - Fernando J. Navarro-Avila, Yadira Saint-Hill-Febles, Janis Renner, Peter Klare, Stefan von Delius, Nassir Navab, Diana Mateus:
Computer assisted optical biopsy for colorectal polyps. 101340J
Cardiac
- Ahmed H. Dallal, Chirag Agarwal, Mohammad R. Arbabshirani, Aalpen Patel, Gregory J. Moore:
Automatic estimation of heart boundaries and cardiothoracic ratio from chest x-ray images. 101340K - Yiting Xie, Shuang Liu, Albert Miller, Jeffrey A. Miller, Steven Markowitz, Ali Akhund, Anthony P. Reeves:
Coronary artery calcification identification and labeling in low-dose chest CT images. 101340L - Xiuming Liu, Shice Wang, Yufeng Deng, Kuan Chen:
Coronary artery calcification (CAC) classification with deep convolutional neural networks. 101340M - Mohammadreza Negahdar, Mehdi Moradi, Nripesh Parajuli, Tanveer F. Syeda-Mahmood:
Automatic extraction of disease-specific features from Doppler images. 101340N - Guang 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:
Differentiation of pre-ablation and post-ablation late gadolinium-enhanced cardiac MRI scans of longstanding persistent atrial fibrillation patients. 101340O
Breast I
- Jun Wei, Heang-Ping Chan, Mark A. Helvie, Marilyn A. Roubidoux, Chuan Zhou, Lubomir M. Hadjiiski:
Radiomic modeling of BI-RADS density categories. 101340P - Juhun Lee, Robert M. Nishikawa, Ingrid S. Reiser, John M. Boone:
Neutrosophic segmentation of breast lesions for dedicated breast CT. 101340Q - Shuang Liu, Laurie R. Margolies, Yiting Xie, David F. Yankelevitz, Claudia I. Henschke, Anthony P. Reeves:
Fully automated breast density assessment from low-dose chest CT. 101340R - Andrew Oustimov, Aimilia Gastounioti, Meng-Kang Hsieh, Lauren Pantalone, Emily F. Conant, Despina Kontos:
Convolutional neural network approach for enhanced capture of breast parenchymal complexity patterns associated with breast cancer risk. 101340S - Ravi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Mark A. Helvie, Renaid B. Kim:
Identifying key radiogenomic associations between DCE-MRI and micro-RNA expressions for breast cancer. 101340T - Benjamin Q. Huynh, Natasha Antropova, Maryellen L. Giger:
Comparison of breast DCE-MRI contrast time points for predicting response to neoadjuvant chemotherapy using deep convolutional neural network features with transfer learning. 101340U
Liver and Abdomen
- Davide Boschetto, Enrico Grisan:
Superpixel-based classification of gastric chromoendoscopy images. 101340W - Lior Gazit, Jayasree Chakraborty, Marc A. Attiyeh, Liana Langdon-Embry, Peter J. Allen, Richard K. G. Do, Amber L. Simpson:
Quantification of CT images for the classification of high- and low-risk pancreatic cysts. 101340X - Bogdan Dzyubak, Kevin J. Glaser, Armando Manduca, Richard L. Ehman:
Automated liver elasticity calculation for 3D MRE. 101340Y - Qin Li, Benjamin P. Berman, Justin Schumacher, Yongguang Liang, Marios A. Gavrielides, Hao Yang, Binsheng Zhao, Nicholas Petrick:
The effects of iterative reconstruction in CT on low-contrast liver lesion volumetry: a phantom study. 101340Z - Jayasree Chakraborty, Jian Zheng, Mithat Gönen, William R. Jarnagin, Ronald P. DeMatteo, Richard K. G. Do, Amber L. Simpson:
Preoperative assessment of microvascular invasion in hepatocellular carcinoma. 1013410
Musculoskeletal and Dermatology
- Luca Minciullo, Jessie Thomson, Timothy F. Cootes:
Combination of lateral and PA view radiographs to study development of knee OA and associated pain. 1013411 - Botao Deng, Anas Z. Abidin, Adora M. D'Souza, Mahesh B. Nagarajan, Paola Coan, Axel Wismüller:
Characterizing cartilage microarchitecture on phase-contrast x-ray computed tomography using deep learning with convolutional neural networks. 1013412 - Anas Z. Abidin, John Jameson, Robert Molthen, Axel Wismüller:
Classification of micro-CT images using 3D characterization of bone canal patterns in human osteogenesis imperfecta. 1013413 - Md Mahmudur Rahman, Nuh Alpaslan:
Automated melanoma recognition in dermoscopic images based on extreme learning machine (ELM). 1013414
Keynote and Reviewers' Choice
- Kyle J. Myers:
FDA's role in the innovation and evaluation of evolving CAD solutions (Conference Presentation). 1013415 - Gabriel Efrain Humpire Mamani, Arnaud Arindra Adiyoso Setio, Bram van Ginneken, Colin Jacobs:
Organ detection in thorax abdomen CT using multi-label convolutional neural networks. 1013416 - Aimilia Gastounioti, Andrew Oustimov, Meng-Kang Hsieh, Lauren Pantalone, Emily F. Conant, Despina Kontos:
Mammographic phenotypes of breast cancer risk driven by breast anatomy. 1013417
Vessels
- Maaike A. Koenrades, Ella M. Struijs, Almar Klein, Henny Kuipers, Robert H. Geelkerken, Cornelis H. Slump:
Validation of an image registration and segmentation method to measure stent graft motion on ECG-gated CT using a physical dynamic stent graft model. 1013418 - Catalin I. Fetita, Thierry Fortemps de Loneux, Amélé Florence Kouvahe, Mostafa El Hajjam:
Automatic detection and quantification of pulmonary arterio-venous malformations in hereditary hemorrhagic telangiectasia. 1013419 - Jiamin Liu, Le Lu, Jianhua Yao, Mohammadhadi Bagheri, Ronald M. Summers:
Pelvic artery calcification detection on CT scans using convolutional neural networks. 101341A - Renzo Phellan, Thomas Lindner, Alexandre X. Falcão, Nils Daniel Forkert:
Vessel segmentation in 4D arterial spin labeling magnetic resonance angiography images of the brain. 101341B - Hamidreza 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:
Computer-assisted adjuncts for aneurysmal morphologic assessment: toward more precise and accurate approaches. 101341C - Hirohisa Oda, Kanwal K. Bhatia, Masahiro Oda, Takayuki Kitasaka, Shingo Iwano, Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Julia A. Schnabel, Kensaku Mori:
Hessian-assisted supervoxel: structure-oriented voxel clustering and application to mediastinal lymph node detection from CT volumes. 101341D
Breast II
- Thijs Kooi, Jan-Jurre Mordang, Nico Karssemeijer:
Conditional random field modelling of interactions between findings in mammography. 101341E - Karen 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:
Deep learning and three-compartment breast imaging in breast cancer diagnosis. 101341F - Natasha Antropova, Benjamin Q. Huynh, Maryellen L. Giger:
Performance comparison of deep learning and segmentation-based radiomic methods in the task of distinguishing benign and malignant breast lesions on DCE-MRI. 101341G - Guy Amit, Rami Ben-Ari, Omer Hadad, Einat Monovich, Noa Granot, Sharbell Y. Hashoul:
Classification of breast MRI lesions using small-size training sets: comparison of deep learning approaches. 101341H - Bibo Shi, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo:
Prediction of occult invasive disease in ductal carcinoma in situ using computer-extracted mammographic features. 101341I - Thijs Kooi, Nico Karssemeijer:
Deep learning of symmetrical discrepancies for computer-aided detection of mammographic masses. 101341J
Eye
- Teresa Araujo, Ana Maria Mendonça, Aurélio Campilho:
Estimation of retinal vessel caliber using model fitting and random forests. 101341K - Ana Maria Mendonça, Beatriz Remeseiro, Behdad Dashtbozorg, Aurélio Campilho:
Automatic and semi-automatic approaches for arteriolar-to-venular computation in retinal photographs. 101341L - Anastasia Levenkova, Arcot Sowmya, Michael Kalloniatis, Angelica Ly, Arthur Ho:
Automatic detection of diabetic retinopathy features in ultra-wide field retinal images. 101341M - Kedir M. Adal, Peter G. van Etten, Jose P. Martinez, Kenneth Rouwen, Koenraad A. Vermeer, Lucas J. van Vliet:
Detection of retinal changes from illumination normalized fundus images using convolutional neural networks. 101341N - Awais Mansoor, Ien Li, Roger J. Packer, Robert A. Avery, Marius George Linguraru:
Joint deep shape and appearance learning: application to optic pathway glioma segmentation. 101341O
Brain
- David Paredes, Ashirbani Saha, Maciej A. Mazurowski:
Deep learning for segmentation of brain tumors: can we train with images from different institutions? 101341P - Hongwei Wen, Yue Liu, Shengpei Wang, Zuoyong Li, Jishui Zhang, Yun Peng, Huiguang He:
Multi-threshold white matter structural networks fusion for accurate diagnosis of Tourette syndrome children. 101341Q - Nathan Olliverre, Muhammad Asad, Guang Yang, Franklyn A. Howe, Gregory G. Slabaugh:
Pairwise mixture model for unmixing partial volume effect in multi-voxel MR spectroscopy of brain tumour patients. 101341R - Xi Zhang, Qiang Tian, Yuxia Wu, Xiaopan Xu, Baojuan Li, Yi-Xiong Liu, Yang Liu, Hongbing Lu:
IDH mutation assessment of glioma using texture features of multimodal MR images. 101341S - Maciej A. Mazurowski, Kal Clark, Nicholas M. Czarnek, Parisa Shamsesfandabadi, Katherine B. Peters, Ashirbani Saha:
Radiogenomic analysis of lower grade glioma: a pilot multi-institutional study shows an association between quantitative image features and tumor genomics. 101341T - Niha G. Beig, Jay Patel, Prateek Prasanna, Sasan Partovi, Vinay Varadan, Anant Madabhushi, Pallavi Tiwari:
Radiogenomic analysis of hypoxia pathway reveals computerized MRI descriptors predictive of overall survival in glioblastoma. 101341U - Jens Petersen, Martin Bendszus, Jürgen Debus, Sabine Heiland, Klaus H. Maier-Hein:
Effective user guidance in online interactive semantic segmentation. 101341V
Head and Neck
- Hansang Lee, Minseok Park, Junmo Kim:
Cephalometric landmark detection in dental x-ray images using convolutional neural networks. 101341W - Çaglar Senaras, Aaron C. Moberly, Theodoros Teknos, Garth Essig, Charles Elmaraghy, Nazhat Taj-Schaal, Lianbo Yu, Metin N. Gurcan:
Autoscope: automated otoscopy image analysis to diagnose ear pathology and use of clinically motivated eardrum features. 101341X - Mirek Janatka, Krishan S. Ramdoo, Taran Tatla, Krittin Pachtrachai, Daniel S. Elson, Danail Stoyanov:
Examining in vivo tympanic membrane mobility using smart phone video-otoscopy and phase-based Eulerian video magnification. 101341Y - Lubomir M. Hadjiiski, Heang-Ping Chan, Kenny H. Cha, Ashok Srinivasan, Jun Wei, Chuan Zhou, Mark Prince, Silvana Papagerakis:
Radiomics biomarkers for accurate tumor progression prediction of oropharyngeal cancer. 101341Z - Ajay Patel, Sil C. van de Leemput, Mathias Prokop, Bram van Ginneken, Rashindra Manniesing:
Automatic cerebrospinal fluid segmentation in non-contrast CT images using a 3D convolutional network. 1013420
Lung II
- Rafael Wiemker, Merlijn Sevenster, Heber MacMahon, Feng Li, Sandeep Dalal, Amir Tahmasebi, Tobias Klinder:
Automated assessment of imaging biomarkers for the PanCan lung cancer risk prediction model with validation on NLST data. 1013421 - Chuan Zhou, Heang-Ping Chan, Jun Wei, Lubomir M. Hadjiiski, Aamer Chughtai, Ella A. Kazerooni:
Quantitative analysis of CT attenuation distribution patterns of nodule components for pathologic categorization of lung nodules. 1013422 - Haeil Lee, Hansang Lee, Minseok Park, Junmo Kim:
Contextual convolutional neural networks for lung nodule classification using Gaussian-weighted average image patches. 1013423 - Xiuli Li, Yueying Kao, Wei Shen, Xiang Li, Guotong Xie:
Lung nodule malignancy prediction using multi-task convolutional neural network. 1013424 - Matthew C. Hancock, Jerry F. Magnan:
Predictive capabilities of statistical learning methods for lung nodule malignancy classification using diagnostic image features: an investigation using the Lung Image Database Consortium dataset. 1013425 - Dongdong Yu, Yali Zang, Di Dong, Mu Zhou, Olivier Gevaert, Mengjie Fang, Jingyun Shi, Jie Tian:
Developing a radiomics framework for classifying non-small cell lung carcinoma subtypes. 1013426
PROSTATEx Challenge
- Andy Kitchen, Jarrel Seah:
Support vector machines for prostate lesion classification. 1013427 - Saifeng Liu, Huaixiu Zheng, Yesu Feng, Wei Li:
Prostate cancer diagnosis using deep learning with 3D multiparametric MRI. 1013428 - Jarrel C. Y. Seah, Jennifer S. N. Tang, Andy Kitchen:
Detection of prostate cancer on multiparametric MRI. 1013429 - Alireza Mehrtash, Alireza Sedghi, Mohsen Ghafoorian, Mehdi Taghipour, Clare M. Tempany, William M. Wells III, Tina Kapur, Parvin Mousavi, Purang Abolmaesumi, Andriy Fedorov:
Classification of clinical significance of MRI prostate findings using 3D convolutional neural networks. 101342A
Posters: Brain
- Fermín Segovia, Diego Salas-Gonzalez, Juan Manuel Górriz, Javier Ramírez, Francisco Jesús Martínez-Murcia:
Analysis of 18F-DMFP-PET data using Hidden Markov Random Field and the Gaussian distribution to assist the diagnosis of Parkinsonism. 101342B - Noriyuki Takahashi, Toshibumi Kinoshita, Tomomi Ohmura, Eri Matsuyama, Hideto Toyoshima:
Automated method to compute Evans index for diagnosis of idiopathic normal pressure hydrocephalus on brain CT images. 101342C - Juan Manuel Górriz, Javier Ramírez, Ignacio A. Illán, Francisco Jesús Martínez-Murcia, Fermín Segovia, Diego Salas-Gonzalez, Andrés Ortiz:
Case-based statistical learning applied to SPECT image classification. 101342D - Kaoutar Ben Ahmed, Lawrence O. Hall, Dmitry B. Goldgof, Renhao Liu, Robert A. Gatenby:
Fine-tuning convolutional deep features for MRI based brain tumor classification. 101342E - Syeda Maryam, Laura McCrackin, Mark Crowley, Yogesh Rathi, Oleg V. Michailovich:
Application of probabilistically weighted graphs to image-based diagnosis of Alzheimer's disease using diffusion MRI. 101342F - Krishna N. Keshavamurthy, Owen P. Leary, Lisa H. Merck, Benjamin B. Kimia, Scott Collins, David W. Wright, Jason W. Allen, Jeffrey F. Brock, Derek Merck:
Machine learning algorithm for automatic detection of CT-identifiable hyperdense lesions associated with traumatic brain injury. 101342G - Sahand Talai, Kai Boelmans, Jan Sedlacik, Nils Daniel Forkert:
Automatic classification of patients with idiopathic Parkinson's disease and progressive supranuclear palsy using diffusion MRI datasets. 101342H - Kevin P. Gaffney, Faranak Aghaei, James Battiste, Bin Zheng:
Automated detection and quantification of residual brain tumor using an interactive computer-aided detection scheme. 101342I - Mohammadhassan Izadyyazdanabadi, Evgenii Belykh, Nikolay Martirosyan, Jennifer Eschbacher, Peter Nakaji, Yezhou Yang, Mark C. Preul:
Improving utility of brain tumor confocal laser endomicroscopy: objective value assessment and diagnostic frame detection with convolutional neural networks. 101342J - Javier Villafruela, Sebastian Crites, Bastian Cheng, Christian Knaack, Götz Thomalla, Bijoy K. Menon, Nils Daniel Forkert:
Automatic classification of cardioembolic and arteriosclerotic ischemic strokes from apparent diffusion coefficient datasets using texture analysis and deep learning. 101342K - Linmin Pei, Syed M. S. Reza, Wei Li, Christos Davatzikos, Khan M. Iftekharuddin:
Improved brain tumor segmentation by utilizing tumor growth model in longitudinal brain MRI. 101342L
Posters: Breast
- Ricardo de Lima Thomaz, Pedro C. Carneiro, Ana Claudia Patrocinio:
Feature extraction using convolutional neural network for classifying breast density in mammographic images. 101342M - Patricia B. Ribeiro, João P. Papa, Roseli A. F. Romero:
An ensemble-based approach for breast mass classification in mammography images. 101342N - Chul Kyun Ahn, Changyong Heo, Heongmin Jin, Jong Hyo Kim:
A novel deep learning-based approach to high accuracy breast density estimation in digital mammography. 101342O - Joseph Ryan Wong Sik Hee, Elaine F. Harkness, Soujanya Gadde, Yit Yoong Lim, Anthony J. Maxwell, D. Gareth Evans, Anthony Howell, Susan M. Astley:
Does the prediction of breast cancer improve using a combination of mammographic density measures compared to individual measures alone? 101342P - Xiangrong Zhou, Takuya Kano, Hiromi Koyasu, Shuo Li, Xinxin Zhou, Takeshi Hara, Masayuki Matsuo, Hiroshi Fujita:
Automated assessment of breast tissue density in non-contrast 3D CT images without image segmentation based on a deep CNN. 101342Q - Vikrant Anilrao Karale, Sudipta Mukhopadhyay, Tulika Singh, Niranjan Khandelwal, Anup K. Sadhu:
Automated detection of microcalcification clusters in mammograms. 101342R - Yuya Hiramatsu, Chisako Muramatsu, Hironobu Kobayashi, Takeshi Hara, Hiroshi Fujita:
Automated detection of masses on whole breast volume ultrasound scanner: false positive reduction using deep convolutional neural network. 101342S - Karem D. Marcomini, Eduardo F. C. Fleury, Vilmar M. Oliveira, Antonio A. O. Carneiro, Homero Schiabel, Robert M. Nishikawa:
Agreement between a computer-assisted tool and radiologists to classify lesions in breast elastography images. 101342T - Helder 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 Andrade da Costa Vieira:
A new texture descriptor based on local micro-pattern for detection of architectural distortion in mammographic images. 101342U - Kalyani 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:
The impact of using weight estimated from mammographic images vs. self-reported weight on breast cancer risk calculation. 101342V - Qingliang Li, Weili Shi, Huamin Yang, Huimao Zhang, Guoxin Li, Tao Chen, Kensaku Mori, Zhengang Jiang:
Computer-aided diagnosis of mammographic masses using geometric verification-based image retrieval. 101342W - Bibo Shi, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo:
Can upstaging of ductal carcinoma in situ be predicted at biopsy by histologic and mammographic features? 101342X
Posters: Cardiac
- Liset Vázquez Romaguera, Marly Guimarães Fernandes Costa, Francisco Perdigón Romero, Cicero Ferreira Fernandes Costa Filho:
Left ventricle segmentation in cardiac MRI images using fully convolutional neural networks. 101342Z - Fátima L. S. Nunes, Leila C. C. Bergamasco, Pedro Henrique Morais Delmondes, Miguel A. Galarreta-Valverde, Marcel P. Jackowski:
A novel 3D shape descriptor for automatic retrieval of anatomical structures from medical images. 1013430 - Douglas P. Perrin, Alejandra Bueno, Andrea Rodriguez, Gerald R. Marx, Pedro J. del Nido:
Application of convolutional artificial neural networks to echocardiograms for differentiating congenital heart diseases in a pediatric population. 1013431