31 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University at Buffalo, State University of New YorkUS3 papers
- University College LondonGB2 papers
- AGH University of KrakowPL1 paper
- Athinoula A. Martinos Center for Biomedical ImagingUS1 paper
- Beijing Academy of Artificial IntelligenceCN1 paper
- Canon (Japan)JP1 paper
- Canon Medical Systems Corporation (Japan)JP1 paper
- Center for Excellence in Brain Science and Intelligence TechnologyCN1 paper
- Centre de Recherche en Acquisition et Traitement de l'Image pour la SantéFR1 paper
- Centre Hospitalier de l’Université de MontréalCA1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Charité - Universitätsmedizin BerlinDE1 paper
7 papers
In-Silico Analysis of Curve Fitting in Angiographic Parametric Imaging in Intracranial Aneurysms
Parmita Mondal, Allison Shields, Mohammad Mahdi Shiraz Bhurwani +2
In Angiographic Parametric Imaging (API), accurate estimation of parameters from Time Density Curves (TDC) is crucial. However, these estimations are often marred by errors arising…
Intra-operative Optimal Flow Diverter Selection for Intracranial aneurysm treatment
Parmita Mondal, Mohammed Mahdi Shiraz Bhurwani, Kyle A Williams +1
During intracranial aneurysm (IA) treatment with Diverters (FDs), the device/parent artery diameters ratio may influence the ability of the device to induce aneurysm healing respon…
The TopCoW Challenge -- Topology-Aware Circle of Willis Segmentation for CT and MR Angiography
Kaiyuan Yang, Fabio Musio, Yihui Ma +112
The Circle of Willis (CoW) is an important network of arteries connecting major circulations of the brain. Its vascular architecture is believed to influence the risk, severity, an…
CNN-based fully automatic mitral valve extraction using CT images and existence probability maps
Yukiteru Masuda, Ryo Ishikawa, Toru Tanaka +8
Accurate extraction of mitral valve shape from clinical tomographic images acquired in patients has proven useful for planning surgical and interventional mitral valve treatments.…
Systematic Review on Learning-based Spectral CT
Alexandre Bousse, Venkata Sai Sundar Kandarpa, Simon Rit +5
Spectral computed tomography (CT) has recently emerged as an advanced version of medical CT and significantly improves conventional (single-energy) CT. Spectral CT has two main for…
Targeted Gradient Descent: A Novel Method for Convolutional Neural Networks Fine-tuning and Online-learning
Junyu Chen, Evren Asma, Chung Chan
A convolutional neural network (ConvNet) is usually trained and then tested using images drawn from the same distribution. To generalize a ConvNet to various tasks often requires a…
Artificial Intelligence in PET: an Industry Perspective
Arkadiusz Sitek, Sangtae Ahn, Evren Asma +6
Artificial intelligence (AI) has significant potential to positively impact and advance medical imaging, including positron emission tomography (PET) imaging applications. AI has t…