Robin Strand
Uppsala Universitet
H-index: 24
Europe-Sweden
Top articles of Robin Strand
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Streamlining neuroradiology workflow with AI for improved cerebrovascular structure monitoring | Scientific Reports | Subhashis Banerjee Fredrik Nysjö Dimitrios Toumpanakis Ashis Kumar Dhara Johan Wikström | 2024/4/22 |
Seminar series of the Centre for Image Analysis (CBA) | Victor Kuismin | 2024/2/16 | |
Improved automated tumor segmentation in whole-body 3D scans using multi-directional 2D projection-based priors | Heliyon | Sambit Tarai Elin Lundström Therese Sjöholm Hanna Jönsson Alexander Korenyushkin | 2024/2/15 |
Voxel-wise body composition analysis using image registration of a three-slice CT imaging protocol: methodology and proof-of-concept studies | BioMedical Engineering OnLine | Nouman Ahmad Hugo Dahlberg Hanna Jönsson Sambit Tarai Rama Krishna Guggilla | 2024 |
Deep Active Learning for Glioblastoma Quantification | Subhashis Banerjee Robin Strand | 2023/4/18 | |
Automatic segmentation of large-scale CT image datasets for detailed body composition analysis | BMC bioinformatics | Nouman Ahmad Robin Strand Björn Sparresäter Sambit Tarai Elin Lundström | 2023/9/18 |
ASE-Net for Segmentation of Post-Operative Glioblastoma and Patient-Specific Fine-Tuning for Segmentation Refinement of Follow-Up MRI Scans | SN Computer Science | Swagata Kundu Subhashis Banerjee Eva Breznik Dimitrios Toumpanakis Johan Wikstrom | 2023/12/16 |
A whole-body diffusion MRI normal atlas: development, evaluation and initial use | Cancer Imaging | Therese Sjöholm Sambit Tarai Filip Malmberg Robin Strand Alexander Korenyushkin | 2023/9/14 |
Introducing Spatial Context in Patch-Based Deep Learning for Semantic Segmentation in Whole Body MRI | Eva Breznik Joel Kullberg Håkan Ahlström Robin Strand | 2023/4/18 | |
3-D Attention-SEV-Net for Segmentation of Post-operative Glioblastoma with Interactive Correction of Over-Segmentation | Swagata Kundu Subhashis Banerjee Dimitrios Toumpanakis Johan Wikstrom Robin Strand | 2023/12/4 | |
Multi-level Residual Dual Attention Network for Major Cerebral Arteries Segmentation in MRA towards Diagnosis of Cerebrovascular Disorders | IEEE Transactions on NanoBioscience | Subhash Chandra Pal Dimitrios Toumpanakis Johan Wikström Chirag Kamal Ahuja Robin Strand | 2023/7/24 |
Lifelong learning with dynamic convolutions for glioma segmentation from multi-modal MRI | Subhashis Banerjee Robin Strand | 2023/4/3 | |
Leveraging point annotations in segmentation learning with boundary loss | arXiv preprint arXiv:2311.03537 | Eva Breznik Hoel Kervadec Filip Malmberg Joel Kullberg Håkan Ahlström | 2023/11/6 |
Deep curriculum learning for follow-up MRI registration in glioblastoma | Subhashis Banerjee Dimitrios Toumpanakis Ashis Kumar Dhara Johan Wikström Robin Strand | 2023/4/3 | |
Efficient GPU-based Image Registration: for Detailed Large-Scale Whole-body Analysis | Current events | Robin Strand | 2023/5/31 |
Metabolic profiling of galectin-1 and galectin-3: a cross-sectional, multi-omics, association study | Per-Anders Jansson Emanuel Fryk Vagner Ramon Rodrigues Silva Lena Strindberg Robin Strand | 2023/10/31 | |
AI-based solution for improving neuroradiology workflow for cerebrovascular structure monitoring | Research Square | Subhashis Banerjee Fredrik Nysjö Dimitrios Toumpanakis Ashis Kumar Dhara Johan Wikström | 2023/1/4 |
PO-1691 Segmentation on low resolution magnetic resonance images for prostate radiotherapy | Radiotherapy and Oncology | S Fransson R Strand D Tilly | 2023/5/1 |
Deep learning segmentation of low-resolution images for prostate magnetic resonance-guided radiotherapy | arXiv preprint arXiv:2310.11358 | Samuel Fransson David Tilly Robin Strand | 2023/10/17 |
Segmentation of major cerebral vessel from MRA images and evaluation using U-Net family | Subhash Chandra Pal Subhashis Banerjee Dimitrios Toumpanakis Johan Wikström Robin Strand | 2022/12/17 |
Co-Authors
