yusuke1997/dblp-id-title huggingface dataset:
Mobile Information Retrieval: Memex on the Move - Nothing can be more Surprising than Life
Refining search queries with svg graphics in the omnipaper project
Towards a Semantic Turn in Rich-Media Analysis
Towards an Ontology of ElPub/SciX: A Proposal
Electronic Publishing and the Evolving International Intellectual Property Regime
New Avenues for Electronic Publishing in the Age of Infinite Collections and Citizen Science: Scale, Openness and Trust - Proceedings of the 19th International Conference on Electronic Publishing, ELPUB 2015, Valetta, Malta, September 1-3, 2015
Scholarly Electronic Journal Access in Academic Libraries: Issues for Future Development
XML-Based Authoring: from Concepts via Compromises to Applications
Finding the Law for Sharing Data in Academia
From information to knowledge: 7th ICCC/IFIP International Conference on Electronic Publishing held at the Universidade do Minho - ELPUB 2003, Minho, Portugal, June 25-28, 2003. Proceedings
eXitor: A Tool for the Assisted Edition of XML Documents
Organizational and Technical Aspects of an Electronic Publishing Framework for Historical Sources
Rethinking Critical Editions of Fragmentary Texts by Ontologies
The Brave New World of Scholarly Repositories
Prolegomena to any Future E-Publishing Model
Building a Digital Library with Learning Materials
From Print to Ebooks: A Hybrid Publishing Toolkit for the Arts
Digital Preservation of Scientific Information in Brazil: an initial approach of existing models
Identifying and Improving Dataset References in Social Sciences Full Texts
"Intelligent newspaper" with "MyCover"
What we blog? A qualitaive analysis of researchers' weblogs
Renegotioating Open-Access-Licences for Scientific Films
Integrating the "gold" and "green" Road to Open Access: Experiences from Bioline International
Semiautomatic Extraction of Thesauri and Semantic Search in a Digital Image Archive
Issues in Electronic Publishing on the Medieval Slavic and Byzantine World
INDRENI - The Nepali Intranet. A Platform for Electronic Publishing and Information Sharing in Nepal
Knowledge-Based Search in Collections of Digitized Manuscripts: First Results
A Lifeboat Doesn't Do You any Good if it's not There when You Need it: Open Access and its Place in the New Electronic Publishing Paradigm
EKT ePublishing: An Innovative Service to Support Open Access Scholarly Publishing in Greece
Metadata and Rights Interoperability for Content Interchange between TV Programs Producers
Transcoding for Web Accessibility for the Blind: Semantics from Structure
The State and the Content: electronic publishing and policy measures
Subscription Agents, Libraries and Others Involved in the Information Dissemination
Developments in Publishing: The Potential of Digital Publishing
Infrastructures for Policies: How OpenAIRE Supports the EC's Open Access Requirements
Aprend.E - Electronic Integrated System for Learning and Training
Classifying Technical Terms
The Use of SMIL in an Educational Extranet
An Analysis of the Consortial Use of Electronic Journals in Turkey: The Case of SpringerLink and Wiley InterScience Databases
Freemium as a sustainable economic model for open access electronic publishing in humanities and social sciences
Increasing Papers' Discoverability with Precise Semantic Labeling: The sci.AI Platform
Connecting Readers with Open Access Resources: The CUFTS Free! Open Access Collections Group
An Architecture of Authoring Environments for the Semantic Web
Worldwide "Communitarian" Online Publishing: An Exercise in Wishful Thinking
PLoS One: background, future development, and article-level metrics
Digital Institutional Repository Development - Issues and Solutions
What are the Prospects for Publishing Online Scholarly Journals in Malaysia? The Cultural Constraint
Intellectual Information Technologies and Scientific Electronic Publishing: Changing World and Changing Models
Attitudes towards open access: a meta-synthesis of the empirical literature
Sophie 2.0 - a platform for reading and writing of interactive multimedia books in a networked environment
Scholarly publishing within an eScholarship framework - Sydney eScholarship as a model of integration and sustainability
Mobile Access in the Library: Some New Developments in Ireland
The Newer, the Worse: the Status of Farsi Word Processing Softwares in Iran
Building a Federated, Online Social Sciences and Humanities Database of Journals and Research Communication: A Canadian Initiative
Bibliometric factor maps for knowledge discovery in digital libraries
Social Shaping of Digital Publishing: Exploring the interplay between Culture and Technology - 16th International Conference on Electronic Publishing, Guimaraes, Portugal, June 14-15, 2013
Electronic Journal Publishing System - SEER
New Technologies and Scientific Production: Causal Relationships or a Situation of Multiple Outcomes?
Towards Scientific Information Disclosure Through Concept Hierarchies
Publishing scientific research: is there ground for new ventures?
What Small Projects Producing Digital Resources Need to Know about Digital Preservation?
Exploration and Evaluation of Citation Networks
Versioning Wordsworth; Dynamic Collation in the New Medium
User Studies of Commercial and Free Electronic Journals
The anatomy of an electronic discussion list for librarians, KUTUP-L: Bibliometric and content analyses of postings
EKT ePublishing: Developing an open access publishing service for the Greek research community
Reliable scholarly objects search and interchange framework
Democratic Approach to Electronic Publishing in a Non-Democratic System
Digital Critical Editions of Slovenian Literature: an Application of Collaborative Work Using Open Standards
Use of ontology for video information retrieval by multimodal indexing
Robust Multi-Organ Nucleus Segmentation Using a Locally Rotation Invariant Bispectral U-Net
Domain Adaptation using Silver Standard Masks for Lateral Ventricle Segmentation in FLAIR MRI
A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling
Unsupervised Brain Anomaly Detection and Segmentation with Transformers
Video pretraining advances 3D deep learning on chest CT tasks
ASMR: Angular Support for Malfunctioning Client Resilience in Federated Learning
PAAN: Pyramid Attention Augmented Network for polyp segmentation
Predicting 3D forearm fracture angle from biplanar Xray images with rotational bone pose estimation
Model Adaptive Tooth Segmentation
GazeDiff: A radiologist visual attention guided diffusion model for zero-shot disease classification
Improving Identically Distributed and Out-of-Distribution Medical Image Classification with Segmentation-Guided Attention in Small Dataset Scenarios
CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation
DBGSL: Dynamic Brain Graph Structure Learning
Learning the Latent Heat Diffusion Process through Structural Brain Network from Longitudinal β-Amyloid Data
4D Semantic Cardiac Magnetic Resonance Image Synthesis on XCAT Anatomical Model
Semi-supervised Learning with Contrastive and Topology Losses for Catheter Segmentation and Misplacement Prediction
Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss Function
Generating Cerebral Vessel Trees of Acute Ischemic Stroke Patients using Conditional Set-Diffusion
GOAL: Gist-set Online Active Learning for Efficient Chest X-ray Image Annotation
ECONet: Efficient Convolutional Online Likelihood Network for Scribble-based Interactive Segmentation
Automatic 3D/2D Deformable Registration in Minimally Invasive Liver Resection using a Mesh Recovery Network
Learning from sparsely annotated data for semantic segmentation in histopathology images
Effect of Intensity Standardization on Deep Learning for WML Segmentation in Multi-Centre FLAIR MRI
Dense Self-Supervised Learning for Medical Image Segmentation
Position Regression for Unsupervised Anomaly Detection
Embedding-based Instance Segmentation in Microscopy
Stage Detection of Mild Cognitive Impairment: Region-dependent Graph Representation Learning on Brain Morphable Meshes
A Comprehensive Benchmark of Supervised and Self-supervised Pre-training on Multi-view Chest X-ray Classification
Surface Vision Transformers: Attention-Based Modelling applied to Cortical Analysis
Interpretable Uncertainty-Aware Deep Regression with Cohort Saliency Analysis for Three-Slice CT Imaging Studies
OFDVDnet: A Sensor Fusion Approach for Video Denoising in Fluorescence-Guided Surgery
Regularizing Brain Age Prediction via Gated Knowledge Distillation
Domain Generalization for Retinal Vessel Segmentation with Vector Field Transformer
Uncertainty-aware retinal layer segmentation in OCT through probabilistic signed distance functions
SAU-Net: Efficient 3D Spine MRI Segmentation Using Inter-Slice Attention
Improving the Ability of Deep Neural Networks to Use Information from Multiple Views in Breast Cancer Screening
Reverse Engineering Breast MRIs: Predicting Acquisition Parameters Directly from Images
On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis
DRIMET: Deep Registration-based 3D Incompressible Motion Estimation in Tagged-MRI with Application to the Tongue
Active Learning with the nnUNet and Sample Selection with Uncertainty-Aware Submodular Mutual Information Measure
Dynamic Pacemaker Artifact Removal (DyPAR) from CT Data using CNNs
XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation
Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France
Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training
AdwU-Net: Adaptive Depth and Width U-Net for Medical Image Segmentation by Differentiable Neural Architecture Search
Training Deep Networks on Domain Randomized Synthetic X-ray Data for Cardiac Interventions
Feedback Graph Attention Convolutional Network for MR Images Enhancement by Exploring Self-Similarity Features
FUSQA: Fetal Ultrasound Segmentation Quality Assessment
International Conference on Medical Imaging with Deep Learning, MIDL 2022, 6-8 July 2022, Zurich, Switzerland
Intra- and Inter-Cellular Awareness for 3D Neuron Tracking and Segmentation in Large-Scale Connectomics
Learning beamforming in ultrasound imaging
SMU-Net: Style matching U-Net for brain tumor segmentation with missing modalities
Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany
Intensity Correction and Standardization for Electron Microscopy Data
Segmentation-Consistent Probabilistic Lesion Counting
Survival Analysis for Idiopathic Pulmonary Fibrosis using CT Images and Incomplete Clinical Data
DBGDGM: Dynamic Brain Graph Deep Generative Model
Explainable Weakly-Supervised Cell Segmentation by Canonical Shape Learning and Transformation
Zero-Shot Medical Image Segmentation Based on Sparse Prompt Using Finetuned SAM
Prior Guided 3D Medical Image Landmark Localization
Joint Learning of Vessel Segmentation and Artery/Vein Classification with Post-processing
Iterative learning to make the most of unlabeled and quickly obtained labeled data in histology
Preface for International Conference on Medical Imaging with Deep Learning 2024
Continual Learning for Domain Adaptation in Chest X-ray Classification
Towards multi-sequence MR image recovery from undersampled k-space data
A novel segmentation framework for uveal melanoma in magnetic resonance imaging based on class activation maps
Making Your First Choice: To Address Cold Start Problem in Medical Active Learning
Nuclei Segmentation in Histopathological Images with Enhanced U-Net3+
Untangling the Small Intestine in 3D cine-MRI using Deep Stochastic Tracking
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model
Inference of captions from histopathological patches
Resolution and Field of View Invariant Generative Modelling with Latent Diffusion Models
Fast Mitochondria Detection for Connectomics
Stroke Lesion Outcome Prediction Based on 4D CT Perfusion Data Using Temporal Convolutional Networks
Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification
DDA: Dimensionality Driven Augmentation Search for Contrastive Learning in Laparoscopic Surgery
Unsupervised Lesion Detection via Image Restoration with a Normative Prior
Negative Evidence Matters in Interpretable Histology Image Classification
A Hybrid, Dual Domain, Cascade of Convolutional Neural Networks for Magnetic Resonance Image Reconstruction
High-quality segmentation of low quality cardiac MR images using k-space artefact correction
Deep Reinforcement Learning for Organ Localization in CT
There Are No Shortcuts to Anywhere Worth Going: Identifying Shortcuts in Deep Learning Models for Medical Image Analysis
Image Synthesis with a Convolutional Capsule Generative Adversarial Network
PathologyGAN: Learning deep representations of cancer tissue
PILLET-GAN: Pixel-Level Lesion Traversal Generative Adversarial Network for Pneumonia Localization
Image Sequence Generation and Analysis via GRU and Attention for Trachomatous Trichiasis Classification
Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification
FedFDD: Federated Learning with Frequency Domain Decomposition for Low-Dose CT Denoising
MProtoNet: A Case-Based Interpretable Model for Brain Tumor Classification with 3D Multi-parametric Magnetic Resonance Imaging
Real-time MR-based 3D motion monitoring using raw k-space data
SFT-KD-Recon: Learning a Student-friendly Teacher for Knowledge Distillation in Magnetic Resonance Image Reconstruction
Addressing Chest Radiograph Projection Bias in Deep Classification Models
Network conditioning for synergistic learning on partial annotations
Deep learning-based parameter mapping for joint relaxation and diffusion tensor MR Fingerprinting
Shape of my heart: Cardiac models through learned signed distance functions
Bi-parametric prostate MR image synthesis using pathology and sequence-conditioned stable diffusion
Semi-supervised learning with Noisy Students improves domain generalization in optic disc and cup segmentation in uncropped fundus images
Alleviating tiling effect by random walk sliding window in high-resolution histological whole slide image synthesis
Differentiable Boundary Point Extraction for Weakly Supervised Star-shaped Object Segmentation
An AI-based Framework for Diagnostic Quality Assessment of Ankle Radiographs
FlexR: Few-shot Classification with Language Embeddings for Structured Reporting of Chest X-rays
Understanding and Visualizing Generalization in UNets
YAMU: Yet Another Modified U-Net Architecture for Semantic Segmentation
E(3) x SO(3)-Equivariant Networks for Spherical Deconvolution in Diffusion MRI
Predicting Age-related Macular Degeneration Progression from Retinal Optical Coherence Tomography with Intra-Subject Temporal Consistency
EPIC-Survival: End-to-end Part Inferred Clustering for Survival Analysis, with Prognostic Stratification Boosting
Automated triaging of head MRI examinations using convolutional neural networks
Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are?
On-the-Fly Test-time Adaptation for Medical Image Segmentation
On the Spatial and Temporal Influence for the Reconstruction of Magnetic Resonance Fingerprinting
Vision Transformers Enable Fast and Robust Accelerated MRI
Bayesian Learning of Probabilistic Dipole Inversion for Quantitative Susceptibility Mapping
Calibration techniques for node classification using graph neural networks on medical image data
A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality
Beyond Classification: Whole Slide Tissue Histopathology Analysis By End-To-End Part Learning
Heterogeneous Medical Data Integration with Multi-Source StyleGAN
Reducing Uncertainty in 3D Medical Image Segmentation under Limited Annotations through Contrastive Learning
Skin Malignancy Classification Using Patients' Skin Images and Meta-data: Multimodal Fusion for Improving Fairness
Attention-Guided Prostate Lesion Localization and Grade Group Classification with Multiple Instance Learning
Comparing representations of biological data learned with different AI paradigms, augmenting and cropping strategies
Registration Quality Evaluation Metric with Self-Supervised Siamese Networks
Efficient tool segmentation for endoscopic videos in the wild
Image2SSM: Localization-aware Deep Learning Framework for Statistical Shape Modeling Directly from Images
Evaluating Age-Related Anatomical Consistency in Synthetic Brain MRI against Real-World Alzheimer's Disease Data
Comparing the Performance of Radiation Oncologists versus a Deep Learning Dose Predictor to Estimate Dosimetric Impact of Segmentation Variations for Radiotherapy
Rotation-Scale Equivariant Steerable Filters
Parameter-Efficient Generation of Natural Language Explanations for Chest X-ray Classification
Generative Image Translation for Data Augmentation of Bone Lesion Pathology
Mutual information deep regularization for semi-supervised segmentation
Deep blind arterial input function: signal correction in perfusion cardiac magnetic resonance
Considerations for data acquisition and modeling strategies: Mitosis detection in computational pathology
Diffusion Models for Implicit Image Segmentation Ensembles
Improving MRI-based Knee Disorder Diagnosis with Pyramidal Feature Details
Feature Disentanglement to Aid Imaging Biomarker Characterization for Genetic Mutations
Inherent Consistent Learning for Accurate Semi-supervised Medical Image Segmentation
Transformer-based out-of-distribution detection for clinically safe segmentation
Target and task specific source-free domain adaptive image segmentation
Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision
Skull R-CNN: A CNN-based network for the skull fracture detection
i3Deep: Efficient 3D interactive segmentation with the nnU-Net
Exclusive Independent Probability Estimation using Deep 3D Fully Convolutional DenseNets: Application to IsoIntense Infant Brain MRI Segmentation
Diffusion Models for Contrast Harmonization of Magnetic Resonance Images
Advancing Multiplex Immunofluorescence Imaging Cell Detection using Semi-Supervised Learning with Pseudo-Labeling
Signal Domain Learning Approach for Optoacoustic Image Reconstruction from Limited View Data
Laparoflow-SSL: Image Analysis From a Tiny Dataset Through Self-Supervised Transformers Leveraging Unlabeled Surgical Video
Federated Cross Learning for Medical Image Segmentation
Understanding Alzheimer disease's structural connectivity through explainable AI
ST(OR) 2 : Spatio-Temporal Object Level Reasoning for Activity Recognition in the Operating Room
On the Pitfalls of Using the Residual Error as Anomaly Score
End-to-end learning of convolutional neural net and dynamic programming for left ventricle segmentation
An end-to-end framework for diagnosing COVID-19 pneumonia via Parallel Recursive MLP module and Bi-LTSM correlation
Automated Labelling using an Attention model for Radiology reports of MRI scans (ALARM)
Attention Guided Deep Supervision Model for Prostate Segmentation in Multisite Heterogeneous MRI Data
Towards IID representation learning and its application on biomedical data
Generalizing Unsupervised Anomaly Detection: Towards Unbiased Pathology Screening
Medical diffusion on a budget: Textual Inversion for medical image generation
Joint Motion Estimation with Geometric Deformation Correction for Fetal Echo Planar Images Via Deep Learning
Learning to Automatically Generate Accurate ECG Captions
Whole-Body Soft-Tissue Lesion Tracking and Segmentation in Longitudinal CT Imaging Studies
HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images
Locating Cephalometric X-Ray Landmarks with Foveated Pyramid Attention
Weakly-supervised learning for image-based classification of primary melanomas into genomic immune subgroups
Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation
Prediction of Disease Progression in Multiple Sclerosis Patients using Deep Learning Analysis of MRI Data
Annotation-Efficient Strategy for Segmentation of 3D Body Composition
Train Once, Deploy Anywhere: Edge-Guided Single-source Domain Generalization for Medical Image Segmentation
Comparing Objective Functions for Segmentation and Detection of Microaneurysms in Retinal Images
Structural Networks for Brain Age Prediction
Reference-based MRI Reconstruction Using Texture Transformer
Medical Imaging with Deep Learning, MIDL 2023, 10-12 July 2023, Nashville, TN, USA
Self-Rule to Adapt: Learning Generalized Features from Sparsely-Labeled Data Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Phenotyping
Dense Segmentation in Selected Dimensions: Application to Retinal Optical Coherence Tomography
Group-Attention Single-Shot Detector (GA-SSD): Finding Pulmonary Nodules in Large-Scale CT Images
Finite Volume Informed Graph Neural Network for Myocardial Perfusion Simulation
Stain-Transforming Cycle-Consistent Generative Adversarial Networks for Improved Segmentation of Renal Histopathology
CAD-RADS Scoring using Deep Learning and Task-Specific Centerline Labeling
One-Class SVM on siamese neural network latent space for Unsupervised Anomaly Detection on brain MRI White Matter Hyperintensities
Spatio-Temporal Encoding of Brain Dynamics with Surface Masked Autoencoders
Explainability Guided COVID-19 Detection in CT Scans
Single Dynamic Network for Multi-label Renal Pathology Image Segmentation
Whole brain radiomics for clustered federated personalization in brain tumor segmentation
TorchXRayVision: A library of chest X-ray datasets and models
Addressing The False Negative Problem of Deep Learning MRI Reconstruction Models by Adversarial Attacks and Robust Training
A recurrent network for segmenting the thrombus on brain MRI in patients with hyper-acute ischemic stroke
Towards a Collective Medical Imaging AI: Enabling Continual Learning from Peers
How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study
[Citation needed] Data usage and citation practices in medical imaging conferences
Interpretable and Interactive Deep Multiple Instance Learning for Dental Caries Classification in Bitewing X-rays
Domain adaptation through anatomical constraints for 3d human pose estimation under the cover
Cell Anomaly Localisation using Structured Uncertainty Prediction Networks
Multimodal Image-Text Matching Improves Retrieval-based Chest X-Ray Report Generation
Modeling the acquisition shift between axial and sagittal MRI for diffusion superresolution to enable axial spine segmentation
Anomaly-Aware 3D Segmentation of Knee Magnetic Resonance Images
A Modular Deep Learning Pipeline for Cell Culture Analysis: Investigating the Proliferation of Cardiomyocytes
Lupus Nephritis Subtype Classification with only Slide Level Labels
On Direct Distribution Matching for Adapting Segmentation Networks
MAF-Net: Multi-branch Anchor-Free Detector for Polyp Localization and Classification in Colonoscopy
Domain Adaptation using Silver Standard Labels for Ki-67 Scoring in Digital Pathology A Step Closer to Widescale Deployment
Assessing Knee OA Severity with CNN attention-based end-to-end architectures
Unsupervised Domain Adaptation for Medical Image Segmentation via Self-Training of Early Features
Deep Learning Radiographic Assessment of Pulmonary Edema: Training with Serum Biomarkers
A deep learning method trained on synthetic data for digital breast tomosynthesis reconstruction
Multitask radiological modality invariant landmark localization using deep reinforcement learning
Multi-scale Stochastic Generation of Labelled Microscopy Images for Neuron Segmentation
Joint Breast Neoplasm Detection and Subtyping using Multi-Resolution Network Trained on Large-Scale H&E Whole Slide Images with Weak Labels
Breaking Speed Limits with Simultaneous Ultra-Fast MRI Reconstruction and Tissue Segmentation
Memory-efficient Segmentation of High-resolution Volumetric MicroCT Images
DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification
Improving Weakly Supervised Lesion Segmentation using Multi-Task Learning