Results 71 to 80 of about 399,723 (262)
Applied Sciences, 2023 Multimodal image registration is an important component of medical image processing, allowing the integration of complementary information from various imaging modalities to improve clinical applications like diagnosis and treatment planning. We proposed
Anika Strittmatter +2 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Pediatric central nervous system (CNS) tumors often recur despite multimodality therapy. Although re‐irradiation (re‐RT) has historically been limited by concerns for severe late toxicities, modern techniques have renewed interest in this approach. Proton therapy provides dosimetric advantages that may enable curative re‐treatment with
Jin‐Ho Song +15 more
wiley +1 more source
Multiobjective Optimization for Reconfigurable Implementation of Medical Image Registration
International Journal of Reconfigurable Computing, 2008 In real-time signal processing, a single application often has multiple computationally intensive kernels that can benefit from acceleration using custom or reconfigurable hardware platforms, such as field-programmable gate arrays (FPGAs).
Omkar Dandekar +3 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Gastrointestinal graft‐versus‐host disease (GI GVHD) following hematopoietic stem cell transplant is typically managed with medical therapy, but surgery and angioembolization may be warranted in selected cases with life‐threatening complications.
Gaia Brunetti +12 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Blinatumomab is a bispecific T‐cell engager approved for the treatment of pediatric B‐cell acute lymphoblastic leukemia (B‐ALL). Outpatient home infusion reduces hospitalization burden and optimizes resource utilization, but is logistically challenging.
Angela Parra del Riego +10 more
wiley +1 more source
Grid simulation services for the medical community
, 2008 The first part of this paper presents a selection of medical simulation applications, including image reconstruction, near real-time registration for neuro-surgery, enhanced dose distribution calculation for radio-therapy, inhaled drug delivery ...
Benkner, S. +8 more
core +1 more source
Registration of Multimodal Medical Images.
Comput. Sci. J. Moldova, 2009 Medical images are increasingly being used within healthcare for diagnosis, planning treatment, guiding treatment and monitoring disease progression. Within medical research (e.g. neuroscience research) they are used to investigate disease processes and understand normal development and ageing.
Costin, H., Rotariu, C.
openaire +3 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background 131I‐metaiodobenzylguanidine (131I‐MIBG) radiotherapy is a key treatment for relapsed and refractory (R/R) neuroblastoma (NB). Patients with R/R disease treated in the modern era are increasingly exposed to anti‐GD2 immunotherapy, which exerts selective pressure and may modify both tumor cell state and microenvironment.
Benjamin J. Lerman +7 more
wiley +1 more source
Nonrigid Medical Image Registration by Finite-Element Deformable Sheet-Curve Models
International Journal of Biomedical Imaging, 2006 Image-based change quantitation has been recognized as a promising tool for accurate assessment of tumor's early response to chemoprevention in cancer research.
Jianhua Xuan +4 more
doaj +1 more source
A Survey on Deep Learning in Medical Image Analysis
, 2017 Deep learning algorithms, in particular convolutional networks, have rapidly become a methodology of choice for analyzing medical images. This paper reviews the major deep learning concepts pertinent to medical image analysis and summarizes over 300 ...
Bejnordi, Babak Ehteshami +8 more
core +1 more source