Medical Imaging meets NIPS
Saturday, December 9th - Long Beach Convention Center, USA
Accepted Abstracts
Yongchan Kwon and Myunghee Cho Paik. Uncertainty quantification for ischemic stroke lesion segmentation using Bayesian neural networks
Young-Geun Kim, Yongchan Kwon and Myunghee Cho Paik. Handling imbalance in deep convolutional neural network: Application to medical imaging
Aneta Lisowska, Alison O'Neil, Vismantas Dilys, Erin Beveridge, Keith Muir and Ian Poole. Dense vessel detection using an anatomically-aware CNN in non-contrast CT scans
Tejpal Virdi, John Guibas and Peter Li. Synthetic Medical Images from Dual Generative Adversarial Networks
Kuldeep Kumar, Christian Desrosiers, Kaleem Siddiqi, Olivier Colliot and Matthew Toews. Fiberprint: Identifying subjects and twins using fiber geometry based brain fingerprint
Morteza Mardani, Enhao Gong, Joseph Cheng, Shreyas Vasanawala, Lei Xing and John Pauly. Deep Generative Adversarial Networks for Compressed Sensing (GANCS) Automates MRI
Jelmer M. Wolterink, Anna M. Dinkla, Mark H.F. Savenije, Peter R. Seevinck, Cornelis A.T. van den Berg and Ivana Isgum. MR-to-CT Synthesis using Cycle-Consistent Generative Adversarial Networks
Enhao Gong, Junshen Xu, John Pauly and Greg Zaharchuk. Deep Learning reduces 99.5% radiation risk for nuclear medicine functional imaging
Jakub Tomczak, Maximilian Ilse and Max Welling. Deep Learning with Order-invariant Operator for Multi-instance Histopathology Classification
Natalia Antropova, Benjamin Huynh and Maryellen Giger. Long Short-Term Memory Networks for Efficient Breast DCE-MRI Classification
Johannes Stelzer, Alexander Loktyushin, Klaus Scheffler, Bernhard Schölkopf and Gabriele Lohmann. High precision head motion correction in fMRI using a learning-based approach
Rene Bidart, Mehrdad Gangeh, Mohammad Peikari, Sherine Salama, Sharon Nofech-Mozes, Anne Martel and Ali Ghodsi. Fully Convolutional Networks in Localization and Classification of Cell Nuclei
Yu-An Chung and Wei-Hung Weng. Learning Image Representations using Deep Siamese CNNs for Content-Based Medical Image Retrieval
Nick Pawlowski, Sofia Ira Ktena, Matthew Lee, Bernhard Kainz, Daniel Rueckert, Ben Glocker and Martin Rajchl. DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images
Marc Górriz, Xavier Giro-I-Nieto, Axel Carlier and Emmanuel Faure. Active Deep Learning for Medical Imaging Segmentation
Andrew Doyle, Carolina Makowski, Claude Lepage, Paule-Joanne Toussaint and Alan C. Evans. Automatic Quality Control of Human Brain T1w MRI Scans
Vineeta Singh, Deeptha Girish, Anca Ralescu and Bruce Aronow. Segmentation of regions with complex boundaries
Christopher Sandino, Neerav Dixit, Shreyas Vasanawala and Joseph Cheng. Deep convolutional neural networks for accelerated dynamic magnetic resonance imaging
Hiba Chougrad and Hamid Zouaki. Convolutional Neural Networks for Breast Cancer Screening: Transfer Learning with Exponential Decay
Wenwen Jiang, N. Okai Addy, William Overall, Bob Hu and Juan Santos. Artifact Detection in Cardiac MRI
Isaac Godfried. CNN based techniques for diagnosing multiple conditions in Chest X-Rays
Ke Xiao, Heliodoro Tejeda, Madalina Fiterau, Jason Fries, James Priest and Chris Re. Automated Classification of Aortic Valve Morphology from Phase-Contrast Cardiac MRI Using an Augmented CNN
Jordan Harrod, Morteza Mardani, Shreyas Vasanawala, John Pauly and Lei Xing. Deep Predictive Coding For Super Time-Resolved MR Imaging
Ilsang Woo, A-Reum Lee, Hyunna Lee, Keummi Choi, Seung Chai Jung, Namkug Kim and Dong-Wha Kang. Semantic Segmentation with Squeeze-and-Excitation Block: Application to Infarct Segmentation in DWI
Okai Addy, Wenwen Jiang, William Overall, Bob Hu, Juan Santos and Joseph Cheng. Autonomous MRI: Prescription to Ejection Fraction in 3 Minutes
Vikash Gupta, Sophia Thomopoulos, Conor Corbin, Faisal Rashid and Paul Thompson. FiberNet 2.0: A robust white matter classifier
Chuck-Hou Yee. Right Ventricle Segmentation using Dilated Convolutions
Milad Makkie and Tianming Liu. A cloud-based distributed deep learning platform for neuroimaging bigdata analytics
Konstantinos Kamnitsas, Wenjia Bai, Enzo Ferrante, Steven Mcdonagh, Matthew Sinclair, Nick Pawlowski, Martin Rajchl, Matthew Lee, Bernhard Kainz, Daniel Rueckert and Ben Glocker. Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation
Herve Lombaert, Antonio Criminisi and Nicholas Ayache. Spectral Learning of Surface Data: Ideas from Medical Imaging
Vincent Chen, Paroma Varma, Madalina Fiterau, Seung-Pyo Lee, James Priest, Christopher Ré. Generating Training Labels for Cardiac Phase-Contrast MRI Images