Coffee Break + Poster Session I

Multimodal Multitask Representation Learning for Metadata Prediction in Pathology – Weng, Cai, Lin, Tan, Chen [ORAL+Poster] A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities – Kohl, Romera-Paredes, Haier-Hein, Rezende, Eslami, Kohli, Zisserman, Ronneberger [ORAL+Poster] Task incremental learning of Chest X-ray data on compact architectures – Patra [ORAL+Poster] Multimodal Self-Supervised Learning for Medical Image Analysis – Taleb, Lippert, Nabi, Klein [ORAL+Poster] Evolution-based Fine-tuning of CNNs for Prostate Cancer Detection – Namdar, Gujrathi, Haider, Khalvati [ORAL+Poster] Unsupervised deep clustering for predictive texture pattern discovery in medical images – Perkonigg, Sobotka, Ba-Ssalamah, Langs [ORAL+Poster] Large-scale classification of breast MRI exams using deep convolutional networks – Gong, Muckley, Wu, Makino, Kim, Heacock, Moy, Knoll, Geras [ORAL+Poster] Bipartite Distance For Shape-Aware Landmark Detection in Spinal X-Rays – Zubaer, Huang, Fan, Cheung, To, Qian, Terzopoulos GAN-enhanced Conditional Echocardiogram – Abdi, Tsang, Abolmaesumi Invasiveness Prediction of Pulmonary Adenocarcinomas Using Deep Feature Fusion Networks – Li, Ma, Li Push it to the Limit: Discover Edge-Cases in Image Data with Autoencoders – Manakov, Tresp, Maximilian Noise-aware PET image Enhancement with Adaptive Deep Learning – Xiang, Wang, Gong, Zaharchuk, Zhang clDice - a Novel Connectivity-Preserving Loss Function for Vessel Segmentation – Paetzold, Shit, Ezhov, Tetteh, Ertuerk, Menze Machine Learning with Multi-Site Imaging Data: An Empirical Study on the Impact of Scanner Effects – Glocker, Robinson, Coelho de Castro, Dou, Konukoglu Extraction of hierarchical functional connectivity components in human brain using resting-state fMRI – Sahoo, Bassett, Davatzikos A Study into Echocardiography View Conversion – Abdi, Jafari, Fels, Tsang, Abolmaesumi Variable Projection optimization for Intravoxel Incoherent Motion (IVIM) MRI estimation – Fadnavis, Garyfallidis Boosting Liver and Lesion Segmentation from CT Scans by Mask Mining – Roth, Konopczynski, Hesser Unsupervised Sparse-view Backprojection via Convolutional and Spatial Transformer Networks – Liu, Sajda Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis – Zhang, Wei, Zhao, Niu, Wu, Tan, Huang Image Quality Assessment for Rigid Motion Compensation – Preuhs, Manhart, Roser, Stimpel, Syben, Psychogios, Kowarschik, Maier Harnessing spatial MRI normalization: patch individual filter layers for CNNs – Eitel, Albrecht, Paul, Ritter Binary Mode Multinomial Deep Learning Model for more efficient Automated Diabetic Retinopathy Detection – Trivedi, Desbiens, Gross, Ferres, Dodhia PILOT: Physics-Informed Learned Optimal Trajectories for Accelerated MRI – Weiss, Senouf, Vedula Variational Inference and Bayesian CNNs for Uncertainty Estimation in Multi-Factorial Bone Age Prediction – Stern, Urschler, Payer, Eggenreich In-plane organ motion prediction using a recurrent encoder-decoder framework – Vazquez Romaguera, Plantefeve, Kadoury Separation of target anatomical structure and occlusions in thoracic X-ray images – Hofmanninger, Langs Knee Cartilage Segmentation Using Diffusion-Weighted MRI – Duarte, Hedge, Kaku, Mohan, Raya Learning to estimate label uncertainty for automatic radiology report parsing – Olatunji, Yao Multi-defect microscopy image restoration under limited data conditions – Razdaibiedina, Velayutham, Modi