Papers
378 papers found
Transformer-based out-of-distribution detection for clinically safe segmentation
Mark S Graham, Petru-Daniel Tudosiu, Paul Wright et al.
Unsupervised Domain Adaptation for Medical Image Segmentation via Self-Training of Early Features
Rasha Sheikh, Thomas Schultz
Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation
Yuan Yao, Fengze Liu, Zongwei Zhou et al.
Unsupervised Pre-training Improves Tooth Segmentation in 3-Dimensional Intraoral Mesh Scans
Xiaoxuan He, Hualiang Wang, Haoji Hu et al.
Video-based Computer-aided Laparoscopic Bleeding Management: a Space-time Memory Neural Network with Positional Encoding and Adversarial Domain Adaptation
Navid Rabbani, Callyane Seve, Nicolas Bourdel et al.
Vision Transformers Enable Fast and Robust Accelerated MRI
Kang Lin, Reinhard Heckel
VORTEX: Physics-Driven Data Augmentations Using Consistency Training for Robust Accelerated MRI Reconstruction
Arjun D. Desai, Beliz Gunel, Batu M. Ozturkler et al.
Warmstart Approach for Accelerating Deep Image Prior Reconstruction in Dynamic Tomography
Tobias Knopp, Mirco Grosser
Weakly-supervised learning for image-based classification of primary melanomas into genomic immune subgroups
Lucy Godson, Navid Alemi, Jérémie Nsengimana et al.
YAMU: Yet Another Modified U-Net Architecture for Semantic Segmentation
Pranab Samanta, Nitin Singhal
A Mean-Field Variational Inference Approach to Deep Image Prior for Inverse Problems in Medical Imaging
Malte Tölle, Max-Heinrich Laves, Alexander Schlaefer
An AI-based Framework for Diagnostic Quality Assessment of Ankle Radiographs
Dominik Mairhöfer, Manuel Laufer, Paul Martin Simon et al.
An MRF-UNet Product of Experts for Image Segmentation
Mikael Brudfors, Yaël Balbastre, John Ashburner et al.
A regularization term for slide correlation reduction in whole slide image analysis with deep learning
Hongrun Zhang, Yanda Meng, Xuesheng Qian et al.
A Surprisingly Effective Perimeter-based Loss for Medical Image Segmentation
Rosana EL Jurdi, Caroline Petitjean, Paul Honeine et al.
Attention via Scattering Transforms for Segmentation of Small Intravascular Ultrasound Data Sets
Lennart Bargsten, Katharina A. Riedl, Tobias Wissel et al.
Automated triaging of head MRI examinations using convolutional neural networks
David A. Wood, Sina Kafiabadi, Aisha Al Busaidi et al.
Balanced sampling for an object detection problem - application to fetal anatomies detection
Antoine Olivier, Caroline Raynaud
Benefits of Linear Conditioning for Segmentation using Metadata
Andreanne Lemay, Charley Gros, Olivier Vincent et al.
Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good!
Hoel Kervadec, Houda Bahig, Laurent Letourneau-Guillon et al.
Changing the Contrast of Magnetic Resonance Imaging Signals using Deep Learning
Attila Tibor Simko, Tommy Löfstedt, Anders Garpebring et al.
CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation
Soham Uday Gadgil, Mark Endo, Emily Wen et al.
Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification
Yash Sharma, Aman Shrivastava, Lubaina Ehsan et al.
CNN and Deep Sets for End-to-End Whole Slide Image Representation Learning
Sobhan Hemati, Shivam Kalra, Cameron Meaney et al.
Direct Inference of Cell Positions using Lens-Free Microscopy and Deep Learning
Philipp Gruening, Falk Nette, Noah Heldt et al.