no code implementations • 20 Mar 2024 • Santosh Sanjeev, Fadillah Adamsyah Maani, Arsen Abzhanov, Vijay Ram Papineni, Ibrahim Almakky, Bartłomiej W. Papież, Mohammad Yaqub
To address this, we propose TiBiX: Leveraging Temporal information for Bidirectional X-ray and Report Generation.
no code implementations • 28 Feb 2024 • 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.
1 code implementation • Medical Image Analysis 2023 • Jian-Qing Zheng, Ziyang Wang, Baoru Huang, Ngee Han Lim, Bartłomiej W. Papież
Deformable image registration, the estimation of the spatial transformation between different images, is an important task in medical imaging.
Ranked #1 on Image Registration on Unpaired-lung-CT
Computed Tomography (CT) Deformable Medical Image Registration +2
no code implementations • 24 Sep 2023 • Anissa Alloula, Daniel R McGowan, Bartłomiej W. Papież
Fluorodeoxyglucose Positron Emission Tomography (FDG-PET) combined with Computed Tomography (CT) scans are critical in oncology to the identification of solid tumours and the monitoring of their progression.
no code implementations • 8 Aug 2023 • Yuanhan Mo, Yao Chen, Aimee Readie, Gregory Ligozio, Thibaud Coroller, Bartłomiej W. Papież
In this study, we address this challenge by prototyping a 2-step auto-grading pipeline, called VertXGradeNet, to automatically predict mSASSS scores for the cervical and lumbar vertebral units (VUs) in X-ray spinal imaging.
no code implementations • 12 Dec 2022 • Yuhan Zheng, Fuping Wu, Bartłomiej W. Papież
Diabetic retinopathy (DR) is a complication of diabetes, and one of the major causes of vision impairment in the global population.
1 code implementation • 6 Nov 2021 • Emmanuelle Bourigault, Daniel R. McGowan, Abolfazl Mehranian, Bartłomiej W. Papież
The MICCAI 2021 HEad and neCK TumOR (HECKTOR) segmentation and outcome prediction challenge creates a platform for comparing segmentation methods of the primary gross target volume on fluoro-deoxyglucose (FDG)-PET and Computed Tomography images and prediction of progression-free survival in H\&N oropharyngeal cancer. For the segmentation task, we proposed a new network based on an encoder-decoder architecture with full inter- and intra-skip connections to take advantage of low-level and high-level semantics at full scales.