Picture for Richard Osuala

Richard Osuala

Mitigating annotation shift in cancer classification using single image generative models

Add code
May 30, 2024
Viaarxiv icon

Debiasing Cardiac Imaging with Controlled Latent Diffusion Models

Add code
Mar 28, 2024
Figure 1 for Debiasing Cardiac Imaging with Controlled Latent Diffusion Models
Figure 2 for Debiasing Cardiac Imaging with Controlled Latent Diffusion Models
Figure 3 for Debiasing Cardiac Imaging with Controlled Latent Diffusion Models
Figure 4 for Debiasing Cardiac Imaging with Controlled Latent Diffusion Models
Viaarxiv icon

Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models

Add code
Mar 20, 2024
Figure 1 for Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models
Figure 2 for Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models
Figure 3 for Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models
Figure 4 for Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models
Viaarxiv icon

Pre- to Post-Contrast Breast MRI Synthesis for Enhanced Tumour Segmentation

Add code
Nov 17, 2023
Viaarxiv icon

Revisiting Skin Tone Fairness in Dermatological Lesion Classification

Add code
Aug 18, 2023
Figure 1 for Revisiting Skin Tone Fairness in Dermatological Lesion Classification
Figure 2 for Revisiting Skin Tone Fairness in Dermatological Lesion Classification
Figure 3 for Revisiting Skin Tone Fairness in Dermatological Lesion Classification
Figure 4 for Revisiting Skin Tone Fairness in Dermatological Lesion Classification
Viaarxiv icon

Towards Interpretable Summary Evaluation via Allocation of Contextual Embeddings to Reference Text Topics

Add code
Oct 25, 2022
Figure 1 for Towards Interpretable Summary Evaluation via Allocation of Contextual Embeddings to Reference Text Topics
Figure 2 for Towards Interpretable Summary Evaluation via Allocation of Contextual Embeddings to Reference Text Topics
Figure 3 for Towards Interpretable Summary Evaluation via Allocation of Contextual Embeddings to Reference Text Topics
Figure 4 for Towards Interpretable Summary Evaluation via Allocation of Contextual Embeddings to Reference Text Topics
Viaarxiv icon

medigan: A Python Library of Pretrained Generative Models for Enriched Data Access in Medical Imaging

Add code
Sep 28, 2022
Figure 1 for medigan: A Python Library of Pretrained Generative Models for Enriched Data Access in Medical Imaging
Figure 2 for medigan: A Python Library of Pretrained Generative Models for Enriched Data Access in Medical Imaging
Figure 3 for medigan: A Python Library of Pretrained Generative Models for Enriched Data Access in Medical Imaging
Figure 4 for medigan: A Python Library of Pretrained Generative Models for Enriched Data Access in Medical Imaging
Viaarxiv icon

High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection

Add code
Sep 20, 2022
Figure 1 for High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection
Figure 2 for High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection
Figure 3 for High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection
Figure 4 for High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection
Viaarxiv icon

Sharing Generative Models Instead of Private Data: A Simulation Study on Mammography Patch Classification

Mar 08, 2022
Figure 1 for Sharing Generative Models Instead of Private Data: A Simulation Study on Mammography Patch Classification
Figure 2 for Sharing Generative Models Instead of Private Data: A Simulation Study on Mammography Patch Classification
Figure 3 for Sharing Generative Models Instead of Private Data: A Simulation Study on Mammography Patch Classification
Figure 4 for Sharing Generative Models Instead of Private Data: A Simulation Study on Mammography Patch Classification
Viaarxiv icon

FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging

Sep 29, 2021
Figure 1 for FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging
Figure 2 for FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging
Viaarxiv icon