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 301–350 of 714 papers

TitleStatusHype
ReFuSeg: Regularized Multi-Modal Fusion for Precise Brain Tumour Segmentation—0
LLM-Mini-CEX: Automatic Evaluation of Large Language Model for Diagnostic Conversation—0
Learning to Guide Human Experts via Personalized Large Language Models—0
A sparse coding approach to inverse problems with application to microwave tomography—0
Defocus Blur Synthesis and Deblurring via Interpolation and Extrapolation in Latent SpaceCode0
Building RadiologyNET: Unsupervised annotation of a large-scale multimodal medical database—0
One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI ReconstructionCode0
Adversarial Feature Map Pruning for BackdoorCode0
Neuron Sensitivity Guided Test Case Selection for Deep Learning Testing—0
Large Language Models Perform Diagnostic ReasoningCode0
Analyzing the Impact of Adversarial Examples on Explainable Machine Learning—0
Detection of Monkeypox Cases Based on Symptoms Using XGBoost and Shapley Additive Explanations MethodsCode0
Learning Large Margin Sparse Embeddings for Open Set Medical Diagnosis—0
DeepMediX: A Deep Learning-Driven Resource-Efficient Medical Diagnosis Across the SpectrumCode0
Deep Ultrasound Denoising Using Diffusion Probabilistic Models—0
Preserving privacy in domain transfer of medical AI models comes at no performance costs: The integral role of differential privacyCode0
XInsight: Revealing Model Insights for GNNs with Flow-based Explanations—0
Transferable Adversarial Robustness for Categorical Data via Universal Robust EmbeddingsCode0
Query Complexity of Active Learning for Function Family With Nearly Orthogonal Basis—0
Machine Unlearning: A Survey—0
Learning to solve Bayesian inverse problems: An amortized variational inference approach using Gaussian and Flow guidesCode0
Predicting Heart Disease and Reducing Survey Time Using Machine Learning Algorithms—0
Evolving Tsukamoto Neuro Fuzzy Model for Multiclass Covid 19 Classification with Chest X Ray Images—0
CB-HVTNet: A channel-boosted hybrid vision transformer network for lymphocyte assessment in histopathological images—0
Topological Interpretability for Deep-LearningCode0
eXplainable Artificial Intelligence on Medical Images: A Survey—0
Medical supervised masked autoencoders: Crafting a better masking strategy and efficient fine-tuning schedule for medical image classificationCode0
Degradation-Noise-Aware Deep Unfolding Transformer for Hyperspectral Image Denoising—0
Efficient Online Decision Tree Learning with Active Feature Acquisition—0
Efficient Uncertainty Estimation in Spiking Neural Networks via MC-dropout—0
Enhancing Electrical Impedance Tomography reconstruction using Learned Half-Quadratic Splitting Networks with Anderson Acceleration—0
D-Score: A White-Box Diagnosis Score for CNNs Based on Mutation Operators—0
MGMT promoter methylation status prediction using MRI scans? An extensive experimental evaluation of deep learning models—0
A Survey on Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges, and Future Directions—0
Unlocking the Potential of ChatGPT: A Comprehensive Exploration of its Applications, Advantages, Limitations, and Future Directions in Natural Language Processing—0
Survey on Adversarial Attack and Defense for Medical Image Analysis: Methods and ChallengesCode0
Learning with Noisy Labels through Learnable Weighting and Centroid SimilarityCode0
DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian InferenceCode0
Visual Analytics of Neuron Vulnerability to Adversarial Attacks on Convolutional Neural Networks—0
Spatio-Temporal Structure Consistency for Semi-supervised Medical Image Classification—0
Unsupervised Deep Digital Staining For Microscopic Cell Images Via Knowledge Distillation—0
NIPUNA: A Novel Optimizer Activation Function for Deep Neural Networks—0
A Survey on Uncertainty Quantification Methods for Deep Learning—0
Dermatological Diagnosis Explainability Benchmark for Convolutional Neural NetworksCode0
StudyFormer : Attention-Based and Dynamic Multi View Classifier for X-ray images—0
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution PerspectiveCode0
Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes—0
Uncertainty-Estimation with Normalized Logits for Out-of-Distribution Detection—0
RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget—0
Conformalized Semi-supervised Random Forest for Classification and Abnormality DetectionCode0
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Benchmark Results

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