Schedule

Evening Session, Sunday, 13 October 2019 - (Room Madrid 2)

18:00: Welcome

18:05: Keynote Session - Prof. Klaus Maier-Hein

18:50: Oral Session I

18:50 - Learning Interpretable Disentangled Representations using Adversarial VAEs - MH Sarhan, A Eslami, N Navab, S Albarqouni
19:00 - Temporal Consistency Objectives Regularize the Learning of Disentangled Representations - G Valvano, A Chartsias, A Leo, S Tsaftaris
19:10 - Multi-layer Domain Adaptation for Deep Convolutional Networks - O Ciga, J Chen, A Martel
19:20 - Intramodality Domain Adaptation using Self Ensembling and Adversarial Training - Z Shanis, S Gerber, M Gao, A Enquobahrie
19:30 - Noise as Domain Shift: Denoising Medical Images by Unpaired Image Translation - I Manakov, M Rohm, C Kern, B Schworm, K Kortuem, V Tresp
19:40 - Synthesising Images and Labels Between MR Sequence Types With CycleGAN - E Kerfoot, E Puyol-Anton, B Ruijsink, R Ariga, E Zacur, P Lamata, JA Schnabel

19:50: Break

20:00: Oral Session II

20:00 - Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning - HMM Orbes-Arteaga, T Varsavsky, C Sudre, Z Eaton-Rosen, L Haddow, L Sørensen, M Nielsen, A Pai, S Ourselin, M Modat, P Nachev, J Cardoso
20:10 - Cross-modality Knowledge Transfer for Prostate Segmentation from CT Scans - Y Liu, N Khosravan, Y Liu, J Stember, J Shoag, C Barbieri, U Bagci, S Jambawalikar
20:20 - A Pulmonary Nodule Detection Method Based on Residual Learning and Dense Connection - F Zhang, Y Xie, Y Xia, Y Zhang
20:30 - Harmonization and Targeted Feature Dropout for Generalized Segmentation: Application to Multi-site Traumatic Brain Injury Images - Y Liu, G Kirk, B Nacewicz, MA Styner, M Shen, D Nie, N Adluru, B Yeske, P Ferrazzano, A Alexander
20:40 - Improving Pathological Structure Segmentation Via Transfer Learning Across Diseases - B Kaur, P Lemaître, R Mehta, NM Sepahvand, D Precup, D Arnold, T Arbel
20:50 - Generating Virtual Chromoendoscopic Images and Improving Detectability and Classification Performance of Endoscopic Lesions - A Fukuda, T Miyamoto, S Kamba, K Sumiyama

21:00: Best Paper Award

21:10: Concluding Remarks