1 citations · 1 across the 3 of their papers we have counts for
4 papers
Investigating the Effects of Diffusion-based Conditional Generative Speech Models Used for Speech Enhancement on Dysarthric Speech
Joanna Reszka, Parvaneh Janbakhshi, Tilak Purohit +1
In this study, we aim to explore the effect of pre-trained conditional generative speech models for the first time on dysarthric speech due to Parkinson's disease recorded in an id…
Panoptic Segmentation of Mammograms with Text-To-Image Diffusion Model
Kun Zhao, Jakub Prokop, Javier Montalt Tordera +1
Mammography is crucial for breast cancer surveillance and early diagnosis. However, analyzing mammography images is a demanding task for radiologists, who often review hundreds of…
DiNO-Diffusion. Scaling Medical Diffusion via Self-Supervised Pre-Training
Guillermo Jimenez-Perez, Pedro Osorio, Josef Cersovsky +4
Diffusion models (DMs) have emerged as powerful foundation models for a variety of tasks, with a large focus in synthetic image generation. However, their requirement of large anno…
Latent Diffusion Models with Image-Derived Annotations for Enhanced AI-Assisted Cancer Diagnosis in Histopathology
Pedro Osorio, Guillermo Jimenez-Perez, Javier Montalt-Tordera +10
Artificial Intelligence (AI) based image analysis has an immense potential to support diagnostic histopathology, including cancer diagnostics. However, developing supervised AI met…