arXiv.org Authors Andrei-Robert Alexandrescu, Răzvan-Gabriel Petec, Alexandru Manole, Laura Diosan Abstract Our research focuses on creating a framework for extracting 3D deformable objects from 2D scenes. We research the possibility of using multiple graph convolutional operators and depth estimators to extract the object, while also using predefined segmentation masks for the objects in the…
Studia Universitatis Babeș-Bolyai Informatica Authors Raluca-Diana Chiș Abstract Finding matches between puzzle pieces is a difficult problem relevant to applications that involve restoring broken objects. The main difficulty comes from the similarity of the puzzle pieces and the very small difference between a pair of pieces that almost match and one that does. The…
International Workshop on Informatics & Data-Driven Medicine Authors Maria Popa, A. Andreica Abstract Brain disorders are increasingly prevalent today, making accurate brain segmentation essential for effective treatment andrecovery. This paperintroducesanenhancedunsupervisedgraph-basedbrainsegmentationmethod that employs an ellipsoid to select the nodes forming the graph. The method was rigorously evaluated on T1 and T2 modalities using four diverse…
Heliyon Authors Andra Carmen Marginean, Sorana Mureșanu, M. Hedeșiu, L. Dioşan Abstract Background: Dental cavities are common oral diseases that can lead to pain, discomfort, and eventually, tooth loss. Early detection and treatment of cavities can prevent these negative consequences. We propose CariSeg, an intelligent system composed of four neural networks that result in…
International Conference on Virtual Storytelling Authors Cristiana Moroz-Dubenco, L. Dioşan, A. Andreica Abstract Breast cancer is the most frequent type of malignancy in women, with 2.3 million diagnostics only in 2020. However, as a consequence of early diagnosis and appropriate treatment, more and more women are being cured. Among screening methods, mammography is one…
International Conference on Knowledge-Based Intelligent Information & Engineering Systems Authors Cristiana Moroz-Dubenco, Adél Bajcsi, A. Andreica, C. Chira Abstract Breast cancer causes numerous deaths worldwide; yet the numbers have decreased in the past years as a result of computer-aided diagnosis and proper treatment. The current paper is addressed to the base of such diagnosis…