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IEEE Transactions on Medical Imaging|August 6, 2014
Probabilistic sparse matching for robust 3D/3D fusion in minimally invasive surgeryDominik Neumann, Sasa Grbic, Matthias John, et al.International Journal of Computer Assisted Radiology and Surgery|April 2, 2013
Hybrid electromagnetic and image-based tracking of endoscopes with guaranteed smooth outputTobias Reichl, Xiongbiao Luo, Manuela Menzel, et al.IEEE Transactions on Medical Imaging|February 19, 2016
AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology ImagesShadi Albarqouni, Christoph Baur, Felix Achilles, et al.IEEE Transactions on Medical Imaging|July 23, 2019
Skin Surface Detection in 3D Optoacoustic Mesoscopy Based on Dynamic ProgrammingSuhanyaa Nitkunanantharajah, Guillaume Zahnd, Malini Olivo, et al.Medical Image Analysis|May 24, 2014
Mini gamma cameras for intra-operative nuclear tomographic reconstructionPhilipp Matthies, José Gardiazabal, Aslı Okur, et al.International Journal of Computer Assisted Radiology and Surgery|April 27, 2026
ConVibNet: needle detection during continuous insertion via frequency-inspired featuresJiamei Guo, Zhehao Duan, Maria Neiiendam, et al.Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|February 3, 2007
Artifacts from misaligned CT in cardiac perfusion PET/CT studies: frequency, effects, and potential solutionsAxel Martinez-Möller, Michael Souvatzoglou, Nassir Navab, et al.Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 5, 2008
A global approach for automatic fibroscopic video mosaicing in minimally invasive diagnosisSelen Atasoy, David P Noonan, Selim Benhimane, et al.Medical Image Analysis|November 3, 2021
RA-GCN: Graph convolutional network for disease prediction problems with imbalanced dataMahsa Ghorbani, Anees Kazi, Mahdieh Soleymani Baghshah, et al.Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|July 8, 2014
Machine learning-based augmented reality for improved surgical scene understandingOlivier Pauly, Benoit Diotte, Pascal Fallavollita, et al.Pageof 47