3 papers
eess.IV2024
Initial Study On Improving Segmentation By Combining Preoperative CT And Intraoperative CBCT Using Synthetic Data
Maximilian E. Tschuchnig, Philipp Steininger, Michael Gadermayr
Computer-Assisted Interventions enable clinicians to perform precise, minimally invasive procedures, often relying on advanced imaging methods. Cone-beam computed tomography (CBCT)…
cs.CV2024
CBCTLiTS: A Synthetic, Paired CBCT/CT Dataset For Segmentation And Style Transfer
Maximilian E. Tschuchnig, Philipp Steininger, Michael Gadermayr
Medical imaging is vital in computer assisted intervention. Particularly cone beam computed tomography (CBCT) with defacto real time and mobility capabilities plays an important ro…
eess.IV2024
Multimodal Learning With Intraoperative CBCT & Variably Aligned Preoperative CT Data To Improve Segmentation
Maximilian E. Tschuchnig, Philipp Steininger, Michael Gadermayr
Cone-beam computed tomography (CBCT) is an important tool facilitating computer aided interventions, despite often suffering from artifacts that pose challenges for accurate interp…