A new system for 3D ultrasound-guided placement of cerebral ventricle catheters. - Ingerid Reinertsen; Asgeir S. Jakola; P. Friderichsen; Frank Lindseth; Ole Solheim; Tormod Selbekk; Geirmund Unsgård (Int. J. Comput. Assist. Radiol. Surg., 2012)

Model-Guided Placement of Cerebral Ventricular Catheters. - Ingerid Reinertsen; Asgeir S. Jakola; Ole Solheim; Frank Lindseth; Geirmund Unsgård (IPCAI, 2013)

Placement of External Ventricular Drains Using an Average Model. - Ingerid Reinertsen; Asgeir S. Jakola; Ole Solheim; Frank Lindseth; Tormod Selbekk; G. Unsgaard (CLIP, 2013)

Animal study assessing safety of an acoustic coupling fluid that holds the potential to avoid surgically induced artifacts in 3D ultrasound guided operations. - Asgeir S. Jakola; Arve Jørgensen; Tormod Selbekk; Ralf-Peter Michler; Ole Solheim; Sverre H. Torp; Lisa M. Sagberg; Petter Aadahl; Geirmund Unsgård (BMC Medical Imaging, 2014)

Validation of model-guided placement of external ventricular drains. - Ingerid Reinertsen; Asgeir S. Jakola; Tormod Selbekk; Ole Solheim (Int. J. Comput. Assist. Radiol. Surg., 2014)

Deep Learning and Multi-Sensor Fusion for Glioma Classification Using Multistream 2D Convolutional Networks. - Chenjie Ge; Irene Yu-Hua Gu; Asgeir Store Jakola; Jie Yang 002 (EMBC, 2018)

3D Multi-Scale Convolutional Networks for Glioma Grading Using MR Images. - Chenjie Ge; Qixun Qu; Irene Yu-Hua Gu; Asgeir Store Jakola (ICIP, 2018)

An efficient 3D deep convolutional network for Alzheimer's disease diagnosis using MR images. - Karl Bäckström; Mahmood Nazari; Irene Yu-Hua Gu; Asgeir Store Jakola (ISBI, 2018)

Multi-stream Convolutional Autoencoder and 2D Generative Adversarial Network for Glioma Classification. - Muhaddisa Barat Ali; Irene Yu-Hua Gu; Asgeir Store Jakola (CAIP (1), 2019)

Cross-Modality Augmentation of Brain Mr Images Using a Novel Pairwise Generative Adversarial Network for Enhanced Glioma Classification. - Chenjie Ge; Irene Yu-Hua Gu; Asgeir Store Jakola; Jie Yang 002 (ICIP, 2019)

Multiscale Deep Convolutional Networks for Characterization and Detection of Alzheimer's Disease Using MR images. - Chenjie Ge; Qixun Qu; Irene Yu-Hua Gu; Asgeir Store Jakola (ICIP, 2019)

Multi-stream multi-scale deep convolutional networks for Alzheimer's disease detection using MR images. - Chenjie Ge; Qixun Qu; Irene Yu-Hua Gu; Asgeir Store Jakola (Neurocomputing, 2019)

Enlarged Training Dataset by Pairwise GANs for Molecular-Based Brain Tumor Classification. - Chenjie Ge; Irene Yu-Hua Gu; Asgeir Store Jakola; Jie Yang 002 (IEEE Access, 2020)

Deep semi-supervised learning for brain tumor classification. - Chenjie Ge; Irene Yu-Hua Gu; Asgeir Store Jakola; Jie Yang 002 (BMC Medical Imaging, 2020)

Preoperative brain tumor imaging: models and software for segmentation and standardized reporting. - David Bouget; André Pedersen; Asgeir S. Jakola; Vasileios Kavouridis; Kyrre Eeg Emblem; Roelant S. Eijgelaar; Ivar Kommers; Hilko Ardon; Frederik Barkhof; Lorenzo Bello; Mitchel S. Berger; Marco Conti Nibali; et al. (CoRR, 2022)

A Feasibility Study on Deep Learning Based Brain Tumor Segmentation Using 2D Ellipse Box Areas. - Muhaddisa Barat Ali; Xiaohan Bai; Irene Yu-Hua Gu; Mitchel S. Berger; Asgeir Store Jakola (Sensors, 2022)

Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks. - Ragnhild Holden Helland; Alexandros Ferles; André Pedersen; Ivar Kommers; Hilko Ardon; Frederik Barkhof; Lorenzo Bello; Mitchel S. Berger; Tora Dunås; Marco Conti Nibali; Julia Furtner; Shawn Hervey-Jumper; et al. (CoRR, 2023)