yusuke1997/dblp-id-title huggingface dataset:
A comparison of self-supervised pretraining approaches for predicting disease risk from chest radiograph images
Metadata-guided Consistency Learning for High Content Images
Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations
KD-MRI: A knowledge distillation framework for image reconstruction and image restoration in MRI workflow
Learned Half-Quadratic Splitting Network for MR Image Reconstruction
Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context
Self-Supervised Transformers for fMRI representation
MR Image Super Resolution By Combining Feature Disentanglement CNNs and Vision Transformers
A comparative evaluation of image-to-image translation methods for stain transfer in histopathology
UltraMAE: Multi-modal Masked Autoencoder for Ultrasound Pre-training
Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance Segmentation
Holistic Modeling In Medical Image Segmentation Using Spatial Recurrence
DRMIME: Differentiable Mutual Information and Matrix Exponential for Multi-Resolution Image Registration
Warmstart Approach for Accelerating Deep Image Prior Reconstruction in Dynamic Tomography
Are 2.5D approaches superior to 3D deep networks in whole brain segmentation?
Video-based Computer-aided Laparoscopic Bleeding Management: a Space-time Memory Neural Network with Positional Encoding and Adversarial Domain Adaptation
Simple and Efficient Confidence Score for Grading Whole Slide Images
Beyond Structured Attributes: Image-Based Predictive Trends for Chest X-Ray Classification
MedSelect: Selective Labeling for Medical Image Classification Using Meta-Learning
MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models
Weakly Supervised Deep Nuclei Segmentation using Points Annotation in Histopathology Images
Automated ranking of chest x-ray radiological finding severity in a binary label setting
JOINED : Prior Guided Multi-task Learning for Joint Optic Disc/Cup Segmentation and Fovea Detection
Region Aware Transformer for Automatic Breast Ultrasound Tumor Segmentation
An unexpected confounder: how brain shape can be used to classify MRI scans ?
Exploring local rotation invariance in 3D CNNs with steerable filters
A Learning Strategy for Contrast-agnostic MRI Segmentation
SepVAE: a contrastive VAE to separate pathological patterns from healthy ones
Decoding natural image stimuli from fMRI data with a surface-based convolutional network
A Cross-Stitch Architecture for Joint Registration and Segmentation in Adaptive Radiotherapy
Siamese Content Loss Networks for Highly Imbalanced Medical Image Segmentation
Feature-based image registration in structured light endoscopy
KeyMorph: Robust Multi-modal Affine Registration via Unsupervised Keypoint Detection
nnUNet meets pathology: Bridging the gap for application to whole slide images and computational biomarkers
ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations
NcIEMIL: Rethinking Decoupled Multiple Instance Learning Framework for Histopathological Slide Classification
Generative Adversarial Networks for Coronary CT Angiography Acquisition Protocol Correction with Explicit Attenuation Constraints
Laplacian pyramid-based complex neural network learning for fast MR imaging
M-GCN: A Multimodal Graph Convolutional Network to Integrate Functional and Structural Connectomics Data to Predict Multidimensional Phenotypic Characterizations
Learned morphological features guide cell type assignment of deconvolved spatial transcriptomics
CARE: Class Attention to Regions of Lesion for Classification on Imbalanced Data
Tumor Budding T-cell Graphs: Assessing the Need for Resection in pT1 Colorectal Cancer Patients
Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning
Interpretable histopathology-based prediction of disease relevant features in Inflammatory Bowel Disease biopsies using weakly-supervised deep learning
Localizing Neurosurgical Instruments Across Domains and in the Wild
MTSR-MRI: Combined Modality Translation and Super-Resolution of Magnetic Resonance Images
OFELIA: Optical Flow-based Electrode LocalIzAtion
MS-Former: Multi-Scale Self-Guided Transformer for Medical Image Segmentation
International Conference on Medical Imaging with Deep Learning, MIDL 2020, 6-8 July 2020, Montréal, QC, Canada
Attention via Scattering Transforms for Segmentation of Small Intravascular Ultrasound Data Sets
Deformable Image Registration with Geometry-informed Implicit Neural Representations
Uncertainty-Aware Training of Neural Networks for Selective Medical Image Segmentation
ICL-SAM: Synergizing In-context Learning Model and SAM in Medical Image Segmentation
SuperMask: Generating High-resolution object masks from multi-view, unaligned low-resolution MRIs
A Mean-Field Variational Inference Approach to Deep Image Prior for Inverse Problems in Medical Imaging
Unsupervised Stain Decomposition via Inversion Regulation for Multiplex Immunohistochemistry Images
Deep learning-based retinal vessel segmentation with cross-modal evaluation
Improving Stain Invariance of CNNs for Segmentation by Fusing Channel Attention and Domain-Adversarial Training
Residual learning for 3D motion corrected quantitative MRI: Robust clinical T1, T2 and proton density mapping
Tailoring automated data augmentation to H&E-stained histopathology
Style Randomization Improves the Robustness of Breast Density Estimation in MR Images
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity
Is it Possible to Predict MGMT Promoter Methylation from Brain Tumor MRI Scans using Deep Learning Models?
IHCScoreGAN: An unsupervised generative adversarial network for end-to-end ki67 scoring for clinical breast cancer diagnosis
Frozen Language Model Helps ECG Zero-Shot Learning
Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective
SWNet: Surgical Workflow Recognition with Deep Convolutional Network
VariViT: A Vision Transformer for Variable Image Sizes
Knee Injury Detection using MRI with Efficiently-Layered Network (ELNet)
Ano-swinMAE: Unsupervised Anomaly Detection in Brain MRI using swin Transformer based Masked Auto Encoder
Reproducibility of the Methods in Medical Imaging with Deep Learning
HARP: Unsupervised Histopathology Artifact Restoration
Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification
Data Consistent Deep Rigid MRI Motion Correction
Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals
Slide-SAM: Medical SAM Meets Sliding Window
Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer
RADR: A Robust Domain-Adversarial-based Framework for Automated Diabetic Retinopathy Severity Classification
Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI
Weakly supervised deep learning model with size constraint for prostate cancer detection in multiparametric MRI and generalization to unseen domains
Self-supervised learning for analysis of temporal and morphological drug effects in cancer cell imaging data
Evaluating ChatGPT's Performance in Generating and Assessing Dutch Radiology Report Impressions
Pre-Training Transformers for Fingerprinting to Improve Stress Prediction in fMRI
EfficientCellSeg: Efficient Volumetric Cell Segmentation Using Context Aware Pseudocoloring
Detecting Brain Anomalies in Clinical Routine with the β-VAE: Feasibility Study on Age-Related White Matter Hyperintensities
AnatomyGen: Deep Anatomy Generation From Dense Representation With Applications in Mandible Synthesis
Multi PILOT: Feasible Learned Multiple Acquisition Trajectories For Dynamic MRI
On the limits of cross-domain generalization in automated X-ray prediction
Extending Unsupervised Neural Image Compression With Supervised Multitask Learning
Incomplete learning of multi-modal connectome for brain disorder diagnosis via modal-mixup and deep supervision
Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation
Hybrid optimization between iterative and network fine-tuning reconstructions for fast quantitative susceptibility mapping
Transfer Learning by Adaptive Merging of Multiple Models
Leveraging Probabilistic Segmentation Models for Improved Glaucoma Diagnosis: A Clinical Pipeline Approach
Learning with Multitask Adversaries using Weakly Labelled Data for Semantic Segmentation in Retinal Images
Cell-DETR: Efficient cell detection and classification in WSIs with transformers
Changing the Contrast of Magnetic Resonance Imaging Signals using Deep Learning
Balanced sampling for an object detection problem - application to fetal anatomies detection
Toward Unpaired Multi-modal Medical Image Segmentation via Learning Structured Semantic Consistency
Brain Metastasis Segmentation Network Trained with Robustness to Annotations with Multiple False Negatives
UnCLe SAM: Unleashing SAM's Potential for Continual Prostate MRI Segmentation
Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging Data
LILE: Look In-Depth before Looking Elsewhere - A Dual Attention Network using Transformers for Cross-Modal Information Retrieval in Histopathology Archives
International Conference on Medical Imaging with Deep Learning, MIDL 2019, 8-10 July 2019, London, United Kingdom
Learning Shape Reconstruction from Sparse Measurements with Neural Implicit Functions
A Geometric Deep Learning Framework for Generation of Virtual Left Ventricles as Graphs
Combining Reconstruction-based Unsupervised Anomaly Detection with Supervised Segmentation for Brain MRIs
3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects
Reproducibility of Training Deep Learning Models for Medical Image Analysis
Pretraining Vision-Language Model for Difference Visual Question Answering in Longitudinal Chest X-rays
Discrete Pseudohealthy Synthesis: Aortic Root Shape Typification and Type Classification with Pathological Prior
Adversarial Pseudo Healthy Synthesis Needs Pathology Factorization
Conditional Generation of 3D Brain Tumor Regions via VQGAN and Temporal-Agnostic Masked Transformer
Speckle and Shadows: Ultrasound-specific Physics-based Data Augmentation for Kidney Segmentation
SynthMap: a generative model for synthesis of 3D datasets for quantitative MRI parameter mapping of myelin water fraction
Guided Filter Regularization for Improved Disentanglement of Shape and Appearance in Diffeomorphic Autoencoders
Breathing Freely: Self-supervised Liver T1rho Mapping from A Single T1rho-weighted Image
SZLoc: A Multi-resolution Architecture for Automated Epileptic Seizure Localization from Scalp EEG
Learning Diffeomorphic and Modality-invariant Registration using B-splines
An MRF-UNet Product of Experts for Image Segmentation
MultiMedEval: A Benchmark and a Toolkit for Evaluating Medical Vision-Language Models
Training-free Prompt Placement by Propagation for SAM Predictions in Bone CT Scans
Zero-Shot Self-Supervised Joint Temporal Image and Sensitivity Map Reconstruction via Linear Latent Space
Joint Learning of Brain Lesion and Anatomy Segmentation from Heterogeneous Datasets
Unsupervised Domain Adaptation of Brain MRI Skull Stripping Trained on Adult Data to Newborns: Combining Synthetic Data with Domain Invariant Features
Unsupervised Deep Learning Method for Bias Correction
Nuc2Vec: Learning Representations of Nuclei in Histopathology Images with Contrastive Loss
A Patch-based Student-Teacher Pyramid Matching Approach to Anomaly Detection in 3D Magnetic Resonance Imaging
Self-Supervised Representation Learning for High-Content Screening
TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing
Partial transfusion: on the expressive influence of trainable batch norm parameters for transfer learning
Self-supervised Out-of-distribution Detection for Cardiac CMR Segmentation
Accelerating physics-informed neural fields for fast CT perfusion analysis in acute ischemic stroke
Hidden in Plain Sight: Subgroup Shifts Escape OOD Detection
Denoising Diffusion Models for Memory-efficient Processing of 3D Medical Images
Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network
Explainable Image Quality Analysis of Chest X-Rays
Efficiently correcting patch-based segmentation errors to control image-level performance in retinal images
Automatic Diagnosis of Pulmonary Embolism Using an Attention-guided Framework: A Large-scale Study
Priority U-Net: Detection of Punctuate White Matter Lesions in Preterm Neonate in 3D Cranial Ultrasonography
Unseen Disease Detection for Deep Learning Interpretation of Chest X-rays
Capturing Single-Cell Phenotypic Variation via Unsupervised Representation Learning
Know Your Space: Inlier and Outlier Construction for Calibrating Medical OOD Detectors
Learning to Compare Longitudinal Images
Training deep segmentation networks on texture-encoded input: application to neuroimaging of the developing neonatal brain
Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis
MMCFormer: Missing Modality Compensation Transformer for Brain Tumor Segmentation
Cascade Dual-branch Deep Neural Networks for Retinal Layer and fluid Segmentation of Optical Coherence Tomography Incorporating Relative Positional Map
MFIF-Net: A Multi-Focal Image Fusion Network for Implantation Outcome Prediction of Blastocyst
A Robust Mean Teacher Framework for Semi-Supervised Cell Detection in Histopathology Images
Domain adaptation model for retinopathy detection from cross-domain OCT images
DIVA: Domain Invariant Variational Autoencoders
Automatic Segmentation of Head and Neck Tumors and Nodal Metastases in PET-CT scans
DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based Counterfactual Explanations
CP2Image: Generating high-quality single-cell images using CellProfiler representations
Vesselformer: Towards Complete 3D Vessel Graph Generation from Images
Automatic planning of liver tumor thermal ablation using deep reinforcement learning
MRI bias field correction with an implicitly trained CNN
Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets
Video-CT MAE: Self-supervised Video-CT Domain Adaptation for Vertebral Fracture Diagnosis
Semi-Supervised Segmentation via Embedding Matching
Diffeomorphic Image Registration Using Lipschitz Continuous Residual Networks
Auto-Generating Weak Labels for Real & Synthetic Data to Improve Label-Scarce Medical Image Segmentation
Predicting Atrial Fibrillation Treatment Outcome with Siamese Multi-modal Fusion and Cardiac Digital Twins
HoVer-NeXt: A Fast Nuclei Segmentation and Classification Pipeline for Next Generation Histopathology
Learning interpretable multi-modal features for alignment with supervised iterative descent
Bridging the Gap: Point Clouds for Merging Neurons in Connectomics
MRI k-Space Motion Artefact Augmentation: Model Robustness and Task-Specific Uncertainty
Improved multi-site Parkinson's disease classification using neuroimaging data with counterfactual inference
Fusing Structural and Functional MRIs using Graph Convolutional Networks for Autism Classification
VOCA: Cell Nuclei Detection In Histopathology Images By Vector Oriented Confidence Accumulation
Semantic Segmentation of 3D Medical Images Through a Kaleidoscope: Data from the Osteoarthritis Initiative
Unsupervised Pre-training Improves Tooth Segmentation in 3-Dimensional Intraoral Mesh Scans
TransRP: Transformer-based PET/CT feature extraction incorporating clinical data for recurrence-free survival prediction in oropharyngeal cancer
SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep Models for Kidney Stone Classification
Structure Size as Confounder in Uncertainty Based Segmentation Quality Prediction
Boundary loss for highly unbalanced segmentation
Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning
Detecting Out-of-Distribution via an Unsupervised Uncertainty Estimation for Prostate Cancer Diagnosis
Video Polyp Segmentation using Implicit Networks
Whole-slide-imaging Cancer Metastases Detection and Localization with Limited Tumorous Data
Direct Inference of Cell Positions using Lens-Free Microscopy and Deep Learning
Med-Tuning: A New Parameter-Efficient Tuning Framework for Medical Volumetric Segmentation
Deformation-aware GAN for Medical Image Synthesis with Substantially Misaligned Pairs
Vision-Language Modelling For Radiological Imaging and Reports In The Low Data Regime
Segmenting Potentially Cancerous Areas in Prostate Biopsies using Semi-Automatically Annotated Data
Confidence Histograms for Model Reliability Analysis and Temperature Calibration
The Multiscale Surface Vision Transformer
Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good!
Radiology Reports Improve Visual Representations Learned from Radiographs
Implicit Neural Representations for Deformable Image Registration
Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays
Siamese Tracking of Cell Behaviour Patterns
Multimodal Image Registration Guided by Few Segmentations from One Modality
Unifying Brain Age Prediction and Age-Conditioned Template Generation with a Deterministic Autoencoder
"Train one, Classify one, Teach one" - Cross-surgery transfer learning for surgical step recognition
FluidRegNet: Longitudinal registration of retinal OCT images with new pathological fluids
Deep Hierarchical Multi-label Classification of Chest X-ray Images
SVD-DIP: Overcoming the Overfitting Problem in DIP-based CT Reconstruction
Hidden in Plain Sight: Undetectable Adversarial Bias Attacks on Vulnerable Patient Populations
Multi-Objective Learning for Deformable Image Registration
OptTTA: Learnable Test-Time Augmentation for Source-Free Medical Image Segmentation Under Domain Shift
Diffusion X-ray image denoising
Joint cortical registration of geometry and function using semi-supervised learning
Self-supervised pretraining in the wild imparts image acquisition robustness to medical image transformers: an application to lung cancer segmentation
MultiTask Learning for accelerated-MRI Reconstruction and Segmentation of Brain Lesions in Multiple Sclerosis
3D Medical Axial Transformer: A Lightweight Transformer Model for 3D Brain Tumor Segmentation
Dynamic MRI Reconstruction with Motion-Guided Network
Benefits of Linear Conditioning for Segmentation using Metadata
Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings
SINR: Spline-enhanced implicit neural representation for multi-modal registration
REINDIR: Repeated Embedding Infusion for Neural Deformable Image Registration
A Flexible Meta Learning Model for Image Registration
Estimating Uncertainty in PET Image Reconstruction via Deep Posterior Sampling
On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction
Hierarchical Optimal Transport for Comparing Histopathology Datasets
Digitally Stained Confocal Microscopy through Deep Learning
Efficient Anatomy Segmentation in Laparoscopic Surgery using Multi-Teacher Knowledge Distillation
Uncertainty-based Graph Convolutional Networks for Organ Segmentation Refinement
Improved model-based deep learning for quantitative susceptibility mapping
Hyperparameter-Free Medical Image Synthesis for Sharing Data and Improving Site-Specific Segmentation
ThickV-Stain: Unprocessed Thick Tissues Virtual Staining for Rapid Intraoperative Histology
Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI
Learning Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations
The OOD Blind Spot of Unsupervised Anomaly Detection
Deep Reinforcement Learning for Subpixel Neural Tracking
CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging
Sparse Structured Prediction for Semantic Edge Detection in Medical Images
A Surprisingly Effective Perimeter-based Loss for Medical Image Segmentation
3D-RADNet: Extracting labels from DICOM metadata for training general medical domain deep 3D convolution neural networks
Tensor Networks for Medical Image Classification
Predicting COVID-19 Lung Infiltrate Progression on Chest Radiographs Using Spatio-temporal LSTM based Encoder-Decoder Network
Semantic similarity metrics for learned image registration
Efficient Out-of-Distribution Detection in Digital Pathology Using Multi-Head Convolutional Neural Networks
Ultra-NeRF: Neural Radiance Fields for Ultrasound Imaging
Practical uncertainty quantification for brain tumor segmentation
Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis
From Barlow Twins to Triplet Training: Differentiating Dementia with Limited Data
Membership Inference Attacks on Deep Regression Models for Neuroimaging
MAC-ReconNet: A Multiple Acquisition Context based Convolutional Neural Network for MR Image Reconstruction using Dynamic Weight Prediction
Cluster Analysis in Latent Space: Identifying Personalized Aortic Valve Prosthesis Shapes using Deep Representations
Fusing Unsupervised and Supervised Deep Learning for White Matter Lesion Segmentation
Adversarial Domain Adaptation for Cell Segmentation
Label conditioned segmentation
Spatial Correspondence between Graph Neural Network-Segmented Images
Robust Detection Outcome: A Metric for Pathology Detection in Medical Images
Automatic Patient-level Diagnosis of Prostate Disease with Fused 3D MRI and Tabular Clinical Data
Weakly Supervised Volumetric Segmentation via Self-taught Shape Denoising Model
DavinciGAN: Unpaired Surgical Instrument Translation for Data Augmentation
Imbalance-aware loss functions improve medical image classification
Deep Learning Approach to Semantic Segmentation in 3D Point Cloud Intra-oral Scans of Teeth
Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction
Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays
TopoFit: Rapid Reconstruction of Topologically-Correct Cortical Surfaces
Domain adaptation using optimal transport for invariant learning using histopathology datasets
Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays
An Analysis of the Impact of Annotation Errors on the Accuracy of Deep Learning for Cell Segmentation
Angular Super-Resolution in Diffusion MRI with a 3D Recurrent Convolutional Autoencoder
Predicting DNA Content Abnormalities in Barrett's Esophagus: A Weakly Supervised Learning Paradigm
Analysis of Transformers for Medical Image Retrieval
Direct estimation of fetal head circumference from ultrasound images based on regression CNN
Implicit neural obfuscation for privacy preserving medical image sharing
Deep Learning for Model Correction in Cardiac Electrophysiological Imaging
Hybrid Ladder Transformers with Efficient Parallel-Cross Attention for Medical Image Segmentation
VORTEX: Physics-Driven Data Augmentations Using Consistency Training for Robust Accelerated MRI Reconstruction
SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation
GeoLS: Geodesic Label Smoothing for Image Segmentation
Self-Supervised CSF Inpainting for Improved Accuracy Validation of Cortical Surface Analyses
Denoising Autoencoders for Unsupervised Anomaly Detection in Brain MRI
Selective experience replay compression using coresets for lifelong deep reinforcement learning in medical imaging
Multi-scale Hierarchical Vision Transformer with Cascaded Attention Decoding for Medical Image Segmentation
A regularization term for slide correlation reduction in whole slide image analysis with deep learning
Prostate Cancer Semantic Segmentation by Gleason Score Group in bi-parametric MRI with Self Attention Model on the Peripheral Zone
Distance-Aware Non-IID Federated Learning for Generalization and Personalization in Medical Imaging Segmentation
Distill DSM: Computationally efficient method for segmentation of medical imaging volumes
An Auto-Encoder Strategy for Adaptive Image Segmentation