Papers
378 papers found
Exploring local rotation invariance in 3D CNNs with steerable filters
Vincent Andrearczyk, Julien Fageot, Valentin Oreiller et al.
Fusing Unsupervised and Supervised Deep Learning for White Matter Lesion Segmentation
Christoph Baur, Benedikt Wiestler, Shadi Albarqouni et al.
Generative Image Translation for Data Augmentation of Bone Lesion Pathology
Anant Gupta, Srivas Venkatesh, Sumit Chopra et al.
Group-Attention Single-Shot Detector (GA-SSD): Finding Pulmonary Nodules in Large-Scale CT Images
Jiechao Ma, Xiang Li, Hongwei Li et al.
High-quality segmentation of low quality cardiac MR images using k-space artefact correction
Ilkay Oksuz, James Clough, Wenjia Bai et al.
Image Synthesis with a Convolutional Capsule Generative Adversarial Network
Cher Bass, Tianhong Dai, Benjamin Billot et al.
Iterative learning to make the most of unlabeled and quickly obtained labeled data in histology
Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor et al.
Joint Learning of Brain Lesion and Anatomy Segmentation from Heterogeneous Datasets
Nicolas Roulet, Diego Fernandez Slezak, Enzo Ferrante
Learning beamforming in ultrasound imaging
Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov et al.
Learning from sparsely annotated data for semantic segmentation in histopathology images
John-Melle Bokhorst, Hans Pinckaers, Peter van Zwam et al.
Learning interpretable multi-modal features for alignment with supervised iterative descent
Max Blendowski, Mattias P. Heinrich
Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets
Reuben Dorent, Wenqi Li, Jinendra Ekanayake et al.
Learning with Multitask Adversaries using Weakly Labelled Data for Semantic Segmentation in Retinal Images
Oindrila Saha, Rachana Sathish, Debdoot Sheet
MRI k-Space Motion Artefact Augmentation: Model Robustness and Task-Specific Uncertainty
Richard Shaw, Carole Sudre, Sebastien Ourselin et al.
Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging Data
Seyed Mostafa Kia, Andre F. Marquand
On the Spatial and Temporal Influence for the Reconstruction of Magnetic Resonance Fingerprinting
Fabian Balsiger, Olivier Scheidegger, Pierre G. Carlier et al.
Prediction of Disease Progression in Multiple Sclerosis Patients using Deep Learning Analysis of MRI Data
Adrian Tousignant, Paul Lemaître, Doina Precup et al.
Segmenting Potentially Cancerous Areas in Prostate Biopsies using Semi-Automatically Annotated Data
Nikolay Burlutskiy, Nicolas Pinchaud, Feng Gu et al.
Sparse Structured Prediction for Semantic Edge Detection in Medical Images
Lasse Hansen, Mattias P. Heinrich
SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation
Yizhe Zhang, Lin Yang, Hao Zheng et al.
Stain-Transforming Cycle-Consistent Generative Adversarial Networks for Improved Segmentation of Renal Histopathology
Thomas de Bel, Meyke Hermsen, Jesper Kers et al.
Training Deep Networks on Domain Randomized Synthetic X-ray Data for Cardiac Interventions
Daniel Toth, Serkan Cimen, Pascal Ceccaldi et al.
Transfer Learning by Adaptive Merging of Multiple Models
Robin Geyer, Luca Corinzia, Viktor Wegmayr
Unsupervised Lesion Detection via Image Restoration with a Normative Prior
Suhang You, Kerem C. Tezcan, Xiaoran Chen et al.
Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations
Michael Gadermayr, Laxmi Gupta, Barbara M. Klinkhammer et al.