Papers
378 papers found
Implicit Neural Representations for Deformable Image Registration
Jelmer M Wolterink, Jesse C Zwienenberg, Christoph Brune
Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings
Lukas Klein, João B. S. Carvalho, Mennatallah El-Assady et al.
Inference of captions from histopathological patches
Masayuki Tsuneki, Fahdi Kanavati
Interpretable and Interactive Deep Multiple Instance Learning for Dental Caries Classification in Bitewing X-rays
Benjamin Bergner, Csaba Rohrer, Aiham Taleb et al.
Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning
Weicheng Zhu, Carlos Fernandez-Granda, Narges Razavian
Is it Possible to Predict MGMT Promoter Methylation from Brain Tumor MRI Scans using Deep Learning Models?
Numan Saeed, Shahad Hardan, Kudaibergen Abutalip et al.
JOINED : Prior Guided Multi-task Learning for Joint Optic Disc/Cup Segmentation and Fovea Detection
Huaqing He, Li Lin, Zhiyuan Cai et al.
KeyMorph: Robust Multi-modal Affine Registration via Unsupervised Keypoint Detection
Evan M Yu, Alan Q Wang, Adrian V Dalca et al.
Label conditioned segmentation
Tianyu Ma, Benjamin C Lee, Mert R Sabuncu
Learned Half-Quadratic Splitting Network for MR Image Reconstruction
Bingyu Xin, Timothy Phan, Leon Axel et al.
Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation
Mou-Cheng Xu, Yu-Kun Zhou, Chen Jin et al.
Learning Shape Reconstruction from Sparse Measurements with Neural Implicit Functions
Tamaz Amiranashvili, David Lüdke, Hongwei Bran Li et al.
Learning Strategies for Contrast-agnostic Segmentation via SynthSeg for Infant MRI data
Ziyao Shang, Md Asadullah Turja, Eric Feczko et al.
Learning to Automatically Generate Accurate ECG Captions
Mathieu G. G. Bartels, Ivona Najdenkoska, Rutger R van de Leur et al.
Left Ventricle Contouring in Cardiac Images Based on Deep Reinforcement Learning
Sixing Yin, Yameng Han, Judong Pan et al.
MAF-Net: Multi-branch Anchor-Free Detector for Polyp Localization and Classification in Colonoscopy
Xinzi Sun, Dechun Wang, Qilei Chen et al.
MedSelect: Selective Labeling for Medical Image Classification Using Meta-Learning
Damir Vrabac, Akshay Smit, Yujie He et al.
Memory-efficient Segmentation of High-resolution Volumetric MicroCT Images
Yuan Wang, Laura Blackie, Irene Miguel-Aliaga et al.
MRI bias field correction with an implicitly trained CNN
Attila Simkó, Tommy Löfstedt, Anders Garpebring et al.
MR Image Super Resolution By Combining Feature Disentanglement CNNs and Vision Transformers
Dwarikanath Mahapatra, Zongyuan Ge
Negative Evidence Matters in Interpretable Histology Image Classification
Soufiane Belharbi, Marco Pedersoli, Ismail Ben Ayed et al.
On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction
Tim Bakker, Matthew Muckley, Adriana Romero-Soriano et al.
On the Pitfalls of Using the Residual Error as Anomaly Score
Felix Meissen, Benedikt Wiestler, Georgios Kaissis et al.
OptTTA: Learnable Test-Time Augmentation for Source-Free Medical Image Segmentation Under Domain Shift
Devavrat Tomar, Guillaume Vray, Jean-Philippe Thiran et al.