MLKDINESC-ID · Lisboa

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Machine Learning and Knowledge Discovery

INESC-ID · Rua Alves Redol 9, 1000-029 Lisboa, Portugal

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30 results

Improving Medical Image Segmentation through Human Feedback and Reward Modeling

Dissertation match 57%

CountPath: Automating Fragment Counting in Digital Pathology

Publication match 56%

Finding Regions of Interest in Whole Slide Images Using Multiple Instance Learning

Publication match 53%

Using Soft Labels to Model Uncertainty in Medical Image Segmentation

Publication match 52%

Measuring axiomatic identifiability of counterfactual image models

Event match 52%

Efficient Algorithms for Medical Image Segmentation

Dissertation match 51%

Application of Deep Learning Techniques to the Diagnosis of Medical Images

Dissertation match 50%

From Manual to Automated Efficient Fragment Counting in Digital Pathology

Event match 49%

Neural Models for Generating Clinically Accurate Chest X-Ray Reports

Dissertation match 48%

QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge

Publication match 48%

Pathological Analysis of Tissues using Deep Neural Networks

Dissertation match 48%

Biologically inspired CNNs for Medical Imaging tasks

Dissertation match 46%

Multiple Instance Learning for WSI: A comparative analysis of attention-based approaches

Publication match 46%

Segmentation of X‐ray coronary angiography with an artificial intelligence deep learning model: Impact in operator visual assessment of coronary stenosis severity

Publication match 45%

Brain Mapping with Dense Features Grounding Cortical Semantic Selectivity in Natural Images With Vision Transformers

Event match 44%

Stenosis detection in coronary X-ray angiographies

Dissertation match 44%

Using a Siamese Network to Accurately Detect Ischemic Stroke in Computed Tomography Scans

Publication match 41%

Invariant Feature Learning for OOD Robust Image Classification Models

Event match 40%

Using sequences of coronary angiograms to quantify the severity of stenosis

Dissertation match 40%

Potential and limitations of computed tomography images as predictors of the outcome of ischemic stroke events: a review

Publication match 40%

Self-Verification Improves Few-Shot Clinical Information Extraction

Event match 39%

Using Information Interaction to Discover Epistatic Effects in Complex Diseases

Publication match 38%

Finding Regions of Interest in Whole Slide Images Using Multiple Instance Learning

Event match 38%

Using a Siamese Network to Accurately Detect Ischemic Stroke in Computed Tomography Scans

Dissertation match 37%

Automated Detection of Coronary Artery Stenosis in X-ray Angiography using Deep Neural Networks

Publication match 37%

A Data Mining Approach for the Detection of High-Risk Breast Cancer Groups

Publication match 37%

Automatic Annotation of Unstructured Fields in Medical Databases

Dissertation match 37%

An analysis of the positional distribution of DNA motifs in promoter regions and its biological relevance

Publication match 36%

Coronary X-ray angiography segmentation using Artificial Intelligence: a multicentric validation study of a deep learning model

Publication match 36%

Enhancing Fine-Grained Perceptual Understanding of Scientific Graphs in Vision Language Models

Dissertation match 36%