Program

Time	Event
1:00 - 1:30pm	Registration, speaker check-in and poster setup
1:30 – 1:45pm	Opening remarks
1:45 – 2:00pm	[DLMIA-O-1] Multi-scale Structured CNN with Label Consistency for Brain MR Image Segmentation. Siqi Bao and Albert Chung (Hong Kong University of Science and Technology)
2:00-2:15pm	[DLMIA-O-2] Convolutional Networks for Kidney Segmentation in Contrast-Enhanced CT Scans. William Thong (Polytechnique Montreal), Samuel Kadoury (Polytechnique Montreal), Nicolas Piché (Object Research Systems Inc), Christopher Pal (Polytechnique Montreal)
2:15-2:30pm	[DLMIA-O-3] Deep Similarity Learning for Multimodal Medical Images. Xi Cheng, Li Zhang, Yefeng Zheng (Siemens Corporate Technology, USA)
2:30 - 3:30pm	Keynote Talk: Deep Learning: State of the Art Juergen Schmidhuber (IDSIA, Switzerland)
3:30 – 4:00pm	Coffee Break
4:00 - 4:15pm	[DLMIA-O-4] Microscopy Cell Counting with Fully Convolutional Regression Networks. Weidi Xie, Alison Noble, Andrew Zisserman (University of Oxford)
4:15 - 5:30pm	Closing Remarks and Poster Session [DLMIA-P-1] Computational Mammography using Deep Neural Networks. Anastasya Dubrovina (Technion), Pavel Kisilev (IBM), Ron Kimmel (Technion), Boris Ginzburg (Intel). [DLMIA-P-2] Holistic Classification of CT Attenuation Patterns for Interstitial Lung Diseases via Deep Convolutional Neural Networks. Mingchen Gao (NIH, USA), Ulas Bagci (University of Central Florida), Le Lu (NIH, USA), Mario Buty (NIH, USA), Aaron Wu (NIH, USA), Hoo-Chang Shin (NIH, USA), Holger Roth (NIH, USA), Georgios Papadakis (NIH, USA) Adrien Depeursinge (University of Applied Sciences Western Switzerland), Ronald Summers (NIH, USA), Ziyue Xu (NIH, USA), Daniel Mollura (NIH, USA). [DLMIA-P-3] Convolutional Neural Networks for Real-Time Epileptic Seizure Detection. Felix Achilles, Federico Tombari, Vasileios Belagiannis, Anna Mira Loesch, Soheyl Noachtar, Nassir Navab (Technical University of Munich) [DLMIA-P-4] Chest Pathology Identification using Deep feature selection with Non-Medical Training. Yaniv Bar (Tel Aviv University), Idit Diamant (Tel Aviv University), Sivan Lieberman (Sheba), Eli Konen (Sheba), Lior Wolf (Tel Aviv University), Hayit Greenspan (Tel Aviv University) [DLMIA-P-5] An Analysis of Robust Cost Functions for Deep CNN in Computer-Aided Diagnosis. Adrian Barbu (FSU, USA), Le Lu (NIH, USA), Holger Roth (NIH, USA), Ari Seff (NIH, USA), Ronald Summers (NIH USA) [DLMIA-P-6] A Resolution Adaptive Hierarchical Deep Learning Scheme Applied to Nuclear Segmentation in Histology Images. Andrew Janowczyk (Case Western Reserve), Scott Doyle (University at Buffalo), Hannah Gilmore (University Hospitals), Anant Madabhushi (Case Western Reserve)