Publications

FedExIT - Missing Class-agnostic Semi-Supervised Federated Learning with Extreme Imbalance Tackling Scheme

Saha P. et al, (2026), Information Fusion, 130, 104080 - 104080

IterMask3D: Unsupervised anomaly detection and segmentation with test-time iterative mask refinement in 3D brain MRI.

Liang Z. et al, (2026), Med Image Anal, 107

Specialised or Generic? Tokenization Choices for Radiology Language Models

Warr H. et al, (2026), Lecture Notes in Computer Science, 16146 LNCS, 62 - 70

Incongruent Multimodal Federated Learning for Medical Vision and Language-based Multi-label Disease Detection

Saha P. et al, (2025), Proceedings of the AAAI Conference on Artificial Intelligence, 39, 28331 - 28339

FedPIA - Permuting and Integrating Adapters Leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning

Saha P. et al, (2025), Proceedings of the AAAI Conference on Artificial Intelligence, 39, 20228 - 20236

Radiomics for Treatment Planning in Liver Cancers.

Mian A. et al, (2025), JAMA Surg

s Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks

Hu A. et al, (2025)

Is Your Style Transfer Doing Anything Useful? An Investigation into Hippocampus Segmentation and the Role of Preprocessing

Kalabizadeh H. et al, (2025), 15266 LNCS, 155 - 165

F3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics

Saha P. et al, (2025), Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 20006 - 20017

Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities

Wagner F. et al, (2025), Proceedings - 2025 IEEE Winter Conference on Applications of Computer Vision, WACV 2025, 357 - 367

Quality Control for Radiology Report Generation Models via Auxiliary Auditing Components

Warr H. et al, (2025), 15167, 70 - 80

Evaluating Reliability in Medical DNNs: A Critical Analysis of Feature and Confidence-Based OOD Detection

Anthony H. and Kamnitsas K., (2025), 15167, 160 - 170

s Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks?

Hu A. et al, (2024)

s Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks?

Hu A. et al, (2024)

Is Your Style Transfer Doing Anything Useful? An Investigation Into Hippocampus Segmentation and the Role of Preprocessing

Kalabizadeh H. et al, (2024)

Search results (82)

FedExIT - Missing Class-agnostic Semi-Supervised Federated Learning with Extreme Imbalance Tackling Scheme

IterMask3D: Unsupervised anomaly detection and segmentation with test-time iterative mask refinement in 3D brain MRI.

Specialised or Generic? Tokenization Choices for Radiology Language Models

Incongruent Multimodal Federated Learning for Medical Vision and Language-based Multi-label Disease Detection

FedPIA - Permuting and Integrating Adapters Leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning

Radiomics for Treatment Planning in Liver Cancers.

s Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks

Is Your Style Transfer Doing Anything Useful? An Investigation into Hippocampus Segmentation and the Role of Preprocessing

F3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics

Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities

Quality Control for Radiology Report Generation Models via Auxiliary Auditing Components

Evaluating Reliability in Medical DNNs: A Critical Analysis of Feature and Confidence-Based OOD Detection

s Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks?

s Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks?

Is Your Style Transfer Doing Anything Useful? An Investigation Into Hippocampus Segmentation and the Role of Preprocessing

Leading Human Health Forward

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Search results (82)

Leading Human Health Forward