31 citations · 92 across the 21 of their papers we have counts for
8 papers · 1 filter
KneeXNeT: An Ensemble-Based Approach for Knee Radiographic Evaluation
Nicharee Srikijkasemwat, Soumya Snigdha Kundu, Fuping Wu +1
Knee osteoarthritis (OA) is the most common joint disorder and a leading cause of disability. Diagnosing OA severity typically requires expert assessment of X-ray images and is com…
SpineFM: Leveraging Foundation Models for Automatic Spine X-ray Segmentation
Samuel J. Simons, Bartłomiej W. Papież
This paper introduces SpineFM, a novel pipeline that achieves state-of-the-art performance in the automatic segmentation and identification of vertebral bodies in cervical and lumb…
Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical Decision-Support Setting
Maxime Kayser, Bayar Menzat, Cornelius Emde +7
The growing capabilities of AI models are leading to their wider use, including in safety-critical domains. Explainable AI (XAI) aims to make these models safer to use by making th…
Deformation-Recovery Diffusion Model (DRDM): Instance Deformation for Image Manipulation and Synthesis
Jian-Qing Zheng, Yuanhan Mo, Yang Sun +5
In medical imaging, the diffusion models have shown great potential for synthetic image generation tasks. However, these approaches often lack the interpretable connections between…
Deep Learning Models to Automate the Scoring of Hand Radiographs for Rheumatoid Arthritis
Zhiyan Bo, Laura C. Coates, Bartlomiej W. Papiez
The van der Heijde modification of the Sharp (SvdH) score is a widely used radiographic scoring method to quantify damage in Rheumatoid Arthritis (RA) in clinical trials. However,…
Paired Diffusion: Generation of related, synthetic PET-CT-Segmentation scans using Linked Denoising Diffusion Probabilistic Models
Rowan Bradbury, Katherine A. Vallis, Bartlomiej W. Papiez
The rapid advancement of Artificial Intelligence (AI) in biomedical imaging and radiotherapy is hindered by the limited availability of large imaging data repositories. With recent…
Spinal Osteophyte Detection via Robust Patch Extraction on minimally annotated X-rays
Soumya Snigdha Kundu, Yuanhan Mo, Nicharee Srikijkasemwat +1
The development and progression of arthritis is strongly associated with osteophytes, which are small and elusive bone growths. This paper presents one of the first efforts towards…
Prediction of recurrence free survival of head and neck cancer using PET/CT radiomics and clinical information
Mona Furukawa, Daniel R. McGowan, Bartłomiej W. Papież
The 5-year survival rate of Head and Neck Cancer (HNC) has not improved over the past decade and one common cause of treatment failure is recurrence. In this paper, we built Cox pr…