A5047154945- Lymphoma Diagnosis and Treatment
- Medical Imaging and Pathology Studies
- Neuroblastoma Research and Treatments
- Cerebrovascular and Carotid Artery Diseases
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Intracranial Aneurysms: Treatment and Complications
- Cerebrospinal fluid and hydrocephalus
- Thyroid Cancer Diagnosis and Treatment
- Traumatic Brain Injury and Neurovascular Disturbances
- Medical Imaging and Analysis
- MRI in cancer diagnosis
- Advanced X-ray and CT Imaging
- Vascular anomalies and interventions
- Fetal and Pediatric Neurological Disorders
- Medical Image Segmentation Techniques
- Abdominal vascular conditions and treatments
- Aortic aneurysm repair treatments
- Head and Neck Surgical Oncology
Poznan University of Medical Sciences
2017-2023
Accurate detection and quantification of unruptured intracranial aneurysms (UIAs) is important for rupture risk assessment to allow an informed treatment decision be made. Currently, 2D manual measures used assess UIAs on Time-of-Flight magnetic resonance angiographies (TOF-MRAs) lack 3D information there substantial inter-observer variability both aneurysm size growth. could helpful improve but are time-consuming would therefore benefit from a reliable automatic UIA segmentation method. The...
Hydrocephalus is a common neurological condition that can have traumatic ramifications and be lethal without treatment. Nowadays, during therapy radiologists to spend vast amount of time assessing the volume cerebrospinal fluid (CSF) by manual segmentation on Computed Tomography (CT) images. Further, some segmentations are prone radiologist bias high intraobserver variability. To improve this, researchers exploring methods automate process, which would enable faster more unbiased results. In...
Lymphomas are the ninth most common malignant neoplasms as of 2020 and blood malignancies in developed world. There multiple approaches to lymphoma staging monitoring, but all currently available ones, generally based either on 2-dimensional measurements performed CT scans or metabolic assessment FDG PET/CT, have some disadvantages, including high inter- intraobserver variability lack clear cut-off points. The aim this paper was present a novel approach fully automated segmentation thoracic...
Cerebral computed tomography angiography is a widely available imaging technique that helps in the diagnosis of vascular pathologies. Contrast administration needed to accurately assess arteries. On non-contrast tomography, arteries are hardly distinguishable from brain tissue, therefore, radiologists do not consider this modality appropriate for evaluation There known contraindications administering iodinated contrast media, and these cases, patient has undergo another examination visualize...
Pretraining on large natural image classification datasets such as ImageNet has aided model development data-scarce 2D medical tasks. 3D tasks often have much less data than tasks, prompting practitioners to rely pretrained models featurize slices. However, these been surpassed by computer vision benchmarks since they do not natively leverage cross-sectional or temporal information. In this study, we explore whether video pretraining for can enable higher performance smaller We demonstrate...
We report a case of patient with recurrent symptoms superior mesenteric ischemia 7 months after successful percutaneous angioplasty and implantation stent in the artery (SMA). Stent fracture displacement were observed. To best our knowledge, this is first SMA displacement.