Papers
378 papers found
Self-Rule to Adapt: Learning Generalized Features from Sparsely-Labeled Data Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Phenotyping
Christian Abbet, Linda Studer, Andreas Fischer et al.
Self-supervised Out-of-distribution Detection for Cardiac CMR Segmentation
Camila Gonzalez, Anirban Mukhopadhyay
Semantic similarity metrics for learned image registration
Steffen Czolbe, Oswin Krause, Aasa Feragen
Stroke Lesion Outcome Prediction Based on 4D CT Perfusion Data Using Temporal Convolutional Networks
Kimberly Amador, Matthias Wilms, Anthony Winder et al.
SWNet: Surgical Workflow Recognition with Deep Convolutional Network
Bokai Zhang, Amer Ghanem, Alexander Simes et al.
Tailoring automated data augmentation to H&E-stained histopathology
Khrystyna Faryna, Jeroen van der Laak, Geert Litjens
The OOD Blind Spot of Unsupervised Anomaly Detection
Matthäus Heer, Janis Postels, Xiaoran Chen et al.
“Train one, Classify one, Teach one” - Cross-surgery transfer learning for surgical step recognition
Daniel Neimark, Omri Bar, Maya Zohar et al.
Understanding and Visualizing Generalization in UNets
Abhejit Rajagopal, Vamshi Chowdary Madala, Thomas A Hope et al.
Unifying Brain Age Prediction and Age-Conditioned Template Generation with a Deterministic Autoencoder
Pauline Mouches, Matthias Wilms, Deepthi Rajashekar et al.
Unseen Disease Detection for Deep Learning Interpretation of Chest X-rays
Siyu Shi, Ishaan Malhi, Kevin Tran et al.
Unsupervised Brain Anomaly Detection and Segmentation with Transformers
Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, Robert Gray et al.
Untangling the Small Intestine in 3D cine-MRI using Deep Stochastic Tracking
Louis van Harten, Catharina de Jonge, Jaap Stoker et al.
Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis
Kangning Liu, Yiqiu Shen, Nan Wu et al.
Weakly Supervised Volumetric Segmentation via Self-taught Shape Denoising Model
Qian He, Shuailin Li, Xuming He
Whole-Body Soft-Tissue Lesion Tracking and Segmentation in Longitudinal CT Imaging Studies
Alessa Hering, Felix Peisen, Teresa Amaral et al.
3D-RADNet: Extracting labels from DICOM metadata for training general medical domain deep 3D convolution neural networks
Richard Du, Varut Vardhanabhuti
4D Semantic Cardiac Magnetic Resonance Image Synthesis on XCAT Anatomical Model
Samaneh Abbasi-Sureshjani, Sina Amirrajab, Cristian Lorenz et al.
Accurate Detection of Out of Body Segments in Surgical Video using Semi-Supervised Learning
Maya Zohar, Omri Bar, Daniel Neimark et al.
A Cross-Stitch Architecture for Joint Registration and Segmentation in Adaptive Radiotherapy
Laurens Beljaards, Mohamed S. Elmahdy, Fons Verbeek et al.
Addressing The False Negative Problem of Deep Learning MRI Reconstruction Models by Adversarial Attacks and Robust Training
Kaiyang Cheng, Francesco Calivá, Rutwik Shah et al.
A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling
Ahmed E. Fetit, Amir Alansary, Lucilio Cordero-Grande et al.
Adversarial Domain Adaptation for Cell Segmentation
Mohammad Minhazul Haq, Junzhou Huang
A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality
Richard Shaw, Carole H. Sudre, Sébastien Ourselin et al.
A Learning Strategy for Contrast-agnostic MRI Segmentation
Benjamin Billot, Douglas N. Greve, Koen Van Leemput et al.