Copertina

SurvCORN: Survival Analysis with Conditional Ordinal Ranking Neural Network

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ridzuan, Muhammad, Saeed, Numan, Maani, Fadillah Adamsyah, Nandakumar, Karthik, Yaqub, Mohammad
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

SurvRNC: Learning Ordered Representations for Survival Prediction using Rank-N-Contrast
di: Saeed, Numan, et al.
Pubblicazione: (2024)

CoReEcho: Continuous Representation Learning for 2D+time Echocardiography Analysis
di: Maani, Fadillah Adamsyah, et al.
Pubblicazione: (2024)

DARK: Diagonal-Anchored Repulsive Knowledge Distillation for Vision-Language Models under Extreme Compression
di: Saeed, Numan, et al.
Pubblicazione: (2026)

ConDiSR: Contrastive Disentanglement and Style Regularization for Single Domain Generalization
di: Matsun, Aleksandr, et al.
Pubblicazione: (2024)

Efficient Parameter Adaptation for Multi-Modal Medical Image Segmentation and Prognosis
di: Saeed, Numan, et al.
Pubblicazione: (2025)

PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation
di: Saadi, Nada, et al.
Pubblicazione: (2024)

DuPLUS: Dual-Prompt Vision-Language Framework for Universal Medical Image Segmentation and Prognosis
di: Saeed, Numan, et al.
Pubblicazione: (2025)

On Enhancing Brain Tumor Segmentation Across Diverse Populations with Convolutional Neural Networks
di: Maani, Fadillah, et al.
Pubblicazione: (2024)

SimLVSeg: Simplifying Left Ventricular Segmentation in 2D+Time Echocardiograms with Self- and Weakly-Supervised Learning
di: Maani, Fadillah, et al.
Pubblicazione: (2023)

FIVA: Federated Inverse Variance Averaging for Universal CT Segmentation with Uncertainty Estimation
di: Ukaye, Asim, et al.
Pubblicazione: (2025)

TabSurv: Adapting Modern Tabular Neural Networks to Survival Analysis
di: Kirpichenko, Stanislav, et al.
Pubblicazione: (2026)

NeuralSurv: Deep Survival Analysis with Bayesian Uncertainty Quantification
di: Monod, Mélodie, et al.
Pubblicazione: (2025)

HuLP: Human-in-the-Loop for Prognosis
di: Ridzuan, Muhammad, et al.
Pubblicazione: (2024)

ConSurv: Multimodal Continual Learning for Survival Analysis
di: Yu, Dianzhi, et al.
Pubblicazione: (2025)

Advanced Tumor Segmentation in Medical Imaging: An Ensemble Approach for BraTS 2023 Adult Glioma and Pediatric Tumor Tasks
di: Maani, Fadillah, et al.
Pubblicazione: (2024)

TorchSurv: A Lightweight Package for Deep Survival Analysis
di: Monod, Mélodie, et al.
Pubblicazione: (2024)

TV-SurvCaus: Dynamic Representation Balancing for Causal Survival Analysis
di: Abraich, Ayoub
Pubblicazione: (2025)

ResSurv: Cancer Survival Analysis Prediction Model Based on Residual Networks
di: Zhai, Wankang
Pubblicazione: (2024)

SurvReLU: Inherently Interpretable Survival Analysis via Deep ReLU Networks
di: Sun, Xiaotong, et al.
Pubblicazione: (2024)

A Federated Learning-Friendly Approach for Parameter-Efficient Fine-Tuning of SAM in 3D Segmentation
di: Asokan, Mothilal, et al.
Pubblicazione: (2024)

Forget-MI: Machine Unlearning for Forgetting Multimodal Information in Healthcare Settings
di: Hardan, Shahad, et al.
Pubblicazione: (2025)

TripleSurv: Triplet Time-adaptive Coordinate Loss for Survival Analysis
di: Zhang, Liwen, et al.
Pubblicazione: (2024)

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis
di: Brockschmidt, Marie, et al.
Pubblicazione: (2025)

EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for Medical Image Segmentation
di: Abutalip, Kudaibergen, et al.
Pubblicazione: (2024)

SurvKAN: A Fully Parametric Survival Model Based on Kolmogorov-Arnold Networks
di: Mastroleo, Marina, et al.
Pubblicazione: (2026)

SurvHTE-Bench: A Benchmark for Heterogeneous Treatment Effect Estimation in Survival Analysis
di: Noroozizadeh, Shahriar, et al.
Pubblicazione: (2026)

TiBiX: Leveraging Temporal Information for Bidirectional X-ray and Report Generation
di: Sanjeev, Santosh, et al.
Pubblicazione: (2024)

SurvBench: A Standardised Preprocessing Pipeline for Multi-Modal Electronic Health Record Survival Analysis
di: Mesinovic, Munib, et al.
Pubblicazione: (2025)

Makeup-Guided Facial Privacy Protection via Untrained Neural Network Priors
di: Shamshad, Fahad, et al.
Pubblicazione: (2024)

SurvUnc: A Meta-Model Based Uncertainty Quantification Framework for Survival Analysis
di: Liu, Yu, et al.
Pubblicazione: (2025)

GRAFT: Decoupling Ranking and Calibration for Survival Analysis
di: Ashhad, Mohammad, et al.
Pubblicazione: (2026)

SurvBETA: Ensemble-Based Survival Models Using Beran Estimators and Several Attention Mechanisms
di: Utkin, Lev V., et al.
Pubblicazione: (2024)

FetalCLIP: A Visual-Language Foundation Model for Fetal Ultrasound Image Analysis
di: Maani, Fadillah, et al.
Pubblicazione: (2025)

Ranking-aware Reinforcement Learning for Ordinal Ranking
di: Hao, Aiming, et al.
Pubblicazione: (2026)

TrajSurv: Learning Continuous Latent Trajectories from Electronic Health Records for Trustworthy Survival Prediction
di: Zeng, Sihang, et al.
Pubblicazione: (2025)

Optimizing Brain Tumor Segmentation with MedNeXt: BraTS 2024 SSA and Pediatrics
di: Hashmi, Sarim, et al.
Pubblicazione: (2024)

LoFT: Low-Rank Adaptation That Behaves Like Full Fine-Tuning
di: Tastan, Nurbek, et al.
Pubblicazione: (2025)

FETAL-GAUGE: A Benchmark for Assessing Vision-Language Models in Fetal Ultrasound
di: Alasmawi, Hussain, et al.
Pubblicazione: (2025)

Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras
di: Lin, Tzu-Yuan, et al.
Pubblicazione: (2023)

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks
di: Tastan, Nurbek, et al.
Pubblicazione: (2025)