SOTAVerified

Medical Diagnosis

Medical Diagnosis is the process of identifying the disease a patient is affected by, based on the assessment of specific risk factors, signs, symptoms and results of exams.

Source: A probabilistic network for the diagnosis of acute cardiopulmonary diseases

Papers

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Showing 451–500 of 714 papers

TitleStatusHype
Towards Reducing Aleatoric Uncertainty for Medical Imaging Tasks—0
Towards Understanding The Calibration Benefits of Sharpness-Aware Minimization—0
Uncertainty-aware abstention in medical diagnosis based on medical texts—0
Uncertainty-Aware Deep Learning for Automated Skin Cancer Classification: A Comprehensive Evaluation—0
Uncertainty Estimation and Out-of-Distribution Detection for Counterfactual Explanations: Pitfalls and Solutions—0
Uncertainty-Estimation with Normalized Logits for Out-of-Distribution Detection—0
Uncertainty Quantification in Machine Learning Based Segmentation: A Post-Hoc Approach for Left Ventricle Volume Estimation in MRI—0
Uncertainty Quantification of Deep Learning for Spatiotemporal Data: Challenges and Opportunities—0
Understanding and Enhancing Robustness of Concept-based Models—0
Understanding differences in applying DETR to natural and medical images—0
Unfolding Tensors to Identify the Graph in Discrete Latent Bipartite Graphical Models—0
Unimodal-uniform Constrained Wasserstein Training for Medical Diagnosis—0
Unlocking the Potential of ChatGPT: A Comprehensive Exploration of its Applications, Advantages, Limitations, and Future Directions in Natural Language Processing—0
Unsupervised Deep Digital Staining For Microscopic Cell Images Via Knowledge Distillation—0
Unsupervised Learning of Noisy-Or Bayesian Networks—0
Unsupervised Online Feature Selection for Cost-Sensitive Medical Diagnosis—0
Unsupervised Temperature Scaling: An Unsupervised Post-Processing Calibration Method of Deep Networks—0
Using Belief Functions for Uncertainty Management and Knowledge Acquisition: An Expert Application—0
Using Convolutional Neural Networks for fault analysis and alleviation in accelerator systems—0
Using Experience Classification for Training Non-Markovian Tasks—0
Vaidya: A Spoken Dialog System for Health Domain—0
Value of Information in Probabilistic Logic Programs—0
Verification and Validation of Computer Models for Diagnosing Breast Cancer Based on Machine Learning for Medical Data Analysis—0
Verifying Quantized Neural Networks using SMT-Based Model Checking—0
Vicomtech at eHealth-KD Challenge 2020: Deep End-to-End Model for Entity and Relation Extraction in Medical Text—0
ViDi: Descriptive Visual Data Clustering as Radiologist Assistant in COVID-19 Streamline Diagnostic—0
Vision Transformers in Medical Computer Vision -- A Contemplative Retrospection—0
Visual Analytics of Neuron Vulnerability to Adversarial Attacks on Convolutional Neural Networks—0
Wav2vec-based Detection and Severity Level Classification of Dysarthria from Speech—0
Wavelet feature extraction and genetic algorithm for biomarker detection in colorectal cancer data—0
Weak Adaptive Submodularity and Group-Based Active Diagnosis with Applications to State Estimation with Persistent Sensor Faults—0
Weakly Supervised Medical Diagnosis and Localization from Multiple Resolutions—0
Weakly Supervised Medical Image Segmentation With Soft Labels and Noise Robust Loss—0
Weakly Supervised Multi-task Learning for Concept-based Explainability—0
When to Trust AI: Advances and Challenges for Certification of Neural Networks—0
Which MOoD Methods work? A Benchmark of Medical Out of Distribution Detection—0
White blood cell subtype detection and classification—0
Why the Agent Made that Decision: Explaining Deep Reinforcement Learning with Vision Masks—0
Wikipedia for Smart Machines and Double Deep Machine Learning—0
Wireless Network Intelligence at the Edge—0
XInsight: Revealing Model Insights for GNNs with Flow-based Explanations—0
11 TeraFLOPs per second photonic convolutional accelerator for deep learning optical neural networks—0
Y-Net for Chest X-Ray Preprocessing: Simultaneous Classification of Geometry and Segmentation of Annotations—0
More Than Positive and Negative: Communicating Fine Granularity in Medical Diagnosis—0
4D-CAT: Synthesis of 4D Coronary Artery Trees from Systole and Diastole—0
A 65 nm Bayesian Neural Network Accelerator with 360 fJ/Sample In-Word GRNG for AI Uncertainty Estimation—0
A Bi-Pyramid Multimodal Fusion Method for the Diagnosis of Bipolar Disorders—0
Accelerating Causal Network Discovery of Alzheimer Disease Biomarkers via Scientific Literature-based Retrieval Augmented Generation—0
Accelerating Robustness Verification of Deep Neural Networks Guided by Target Labels—0
ACCELERATION: Sequentially-scanning DECT Imaging Using High Temporal Resolution Image Reconstruction And Temporal Extrapolation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DenseNet-161Average Precision0.74—Unverified