Papers
378 papers found
An Auto-Encoder Strategy for Adaptive Image Segmentation
Evan M. Yu, Juan Eugenio Iglesias, Adrian V. Dalca et al.
An Auxiliary Task for Learning Nuclei Segmentation in 3D Microscopy Images
Peter Hirsch, Dagmar Kainmueller
Automated Labelling using an Attention model for Radiology reports of MRI scans (ALARM)
David A. Wood, Jeremy Lynch, Sina Kafiabadi et al.
Automatic Diagnosis of Pulmonary Embolism Using an Attention-guided Framework: A Large-scale Study
Luyao Shi, Deepta Rajan, Shafiq Abedin et al.
Automatic Segmentation of Head and Neck Tumors and Nodal Metastases in PET-CT scans
Vincent Andrearczyk, Valentin Oreiller, Martin Vallières et al.
Bayesian Learning of Probabilistic Dipole Inversion for Quantitative Susceptibility Mapping
Jinwei Zhang, Hang Zhang, Mert Sabuncu et al.
Beyond Classification: Whole Slide Tissue Histopathology Analysis By End-To-End Part Learning
Chensu Xie, Hassan Muhammad, Chad M. Vanderbilt et al.
Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision
Hoel Kervadec, Jose Dolz, Shanshan Wang et al.
Brain Metastasis Segmentation Network Trained with Robustness to Annotations with Multiple False Negatives
Darvin Yi, Endre Grøvik, Michael Iv et al.
Breaking Speed Limits with Simultaneous Ultra-Fast MRI Reconstruction and Tissue Segmentation
Francesco Calivá, Andrew P. Leynes, Rutwik Shah et al.
Cascade Dual-branch Deep Neural Networks for Retinal Layer and fluid Segmentation of Optical Coherence Tomography Incorporating Relative Positional Map
Da Ma, Donghuan Lu, Morgan Heisler et al.
Comparing Objective Functions for Segmentation and Detection of Microaneurysms in Retinal Images
Jakob K. H. Andersen, Jakob Grauslund, Thiusius R. Savarimuthu
Continual Learning for Domain Adaptation in Chest X-ray Classification
Matthias Lenga, Heinrich Schulz, Axel Saalbach
Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network
Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin et al.
Deep learning-based parameter mapping for joint relaxation and diffusion tensor MR Fingerprinting
Carolin M. Pirk, Pedro A. Gomez, Ilona Lipp et al.
Deep learning-based retinal vessel segmentation with cross-modal evaluation
Luisa Sanchez Brea, Danilo Andrade De Jesus, Stefan Klein et al.
Deep Reinforcement Learning for Organ Localization in CT
Fernando Navarro, Anjany Sekuboyina, Diana Waldmannstetter et al.
Direct estimation of fetal head circumference from ultrasound images based on regression CNN
Jing Zhang, Caroline Petitjean, Pierre Lopez et al.
DIVA: Domain Invariant Variational Autoencoders
Maximilian Ilse, Jakub M. Tomczak, Christos Louizos et al.
Domain adaptation model for retinopathy detection from cross-domain OCT images
Jing Wang, Yiwei Chen, Wanyue Li et al.
DRMIME: Differentiable Mutual Information and Matrix Exponential for Multi-Resolution Image Registration
Abhishek Nan, Matthew Tennant, Uriel Rubin et al.
Efficient Out-of-Distribution Detection in Digital Pathology Using Multi-Head Convolutional Neural Networks
Jasper Linmans, Jeroen van der Laak, Geert Litjens
End-to-end learning of convolutional neural net and dynamic programming for left ventricle segmentation
Nhat M. Nguyen, Nilanjan Ray
Extending Unsupervised Neural Image Compression With Supervised Multitask Learning
David Tellez, Diederik Höppener, Cornelis Verhoef et al.
Fast Mitochondria Detection for Connectomics
Vincent Casser, Kai Kang, Hanspeter Pfister et al.