Deep-learning generation of synthetic intermediate projections improves 177Lu SPECT images reconstructed with sparsely acquired projections

T Rydén, M Van Essen, I Marin… - Journal of Nuclear …, 2021 - Soc Nuclear Med
The aims of this study were to decrease the 177 Lu-SPECT acquisition time by reducing the
number of projections and to circumvent image degradation by adding deep-learning–…

[HTML][HTML] Evaluation of sstr2 expression in si-nets and relation to overall survival after prrt

AK Elf, V Johanson, I Marin, A Bergström, O Nilsson… - Cancers, 2021 - mdpi.com
Simple Summary Small intestinal neuroendocrine tumors (SI-NETs) are slow growing
tumors expressing somatostatin receptors (SSTR), which are targeted in diagnostic and …

[HTML][HTML] Optimizing the Schedule of PARP Inhibitors in Combination with 177Lu-DOTATATE: A Dosimetry Rationale

A Hallqvist, J Svensson, L Hagmarker, I Marin, T Rydén… - Biomedicines, 2021 - mdpi.com
177 Lu-DOTATATE for neuroendocrine tumours is considered a low-toxicity treatment and
may therefore be combined with other pharmaceuticals to potentiate its efficacy. One …

Deep learning generation of intermediate projections and Monte Carlo based reconstruction improves 177Lu SPECT images reconstructed with sparse acquired …

T Ryden, I Marin, M van Essen, J Svensson… - 2019 - Soc Nuclear Med
44 Objectives: The objective was to improve image quality of 177Lu-DOTATATE SPECT
images reconstructed from sparse acquired projections by constructing a deep neural network …

Can SSTR2 expression in previously resected SI-NETs predict overall survival after PRRT treatment of remaining lesions?

AK Elf, V Johanson, I Marin, A Bergström, O Nilsson… - 2020 - researchsquare.com
Purpose Small intestinal neuroendocrine tumours (SI-NET) often present with distant
metastases at diagnosis. Peptide receptor radiotherapy (PRRT) with radiolabelled somatostatin …

Modeling origami for computational construction and beyond

T Ida, H Takahashi, M Marin, F Ghourabi - … -29, 2007. Proceedings, Part II 7, 2007 - Springer
Computational origami is the computer assisted study of origami as a branch of science of
shapes. The origami construction is a countably finite sequence of fold steps, each consisting …

Computational origami construction as constraint solving and rewriting

T Ida, M Marin, H Takahashi, F Ghoura - Electronic Notes in Theoretical …, 2008 - Elsevier
Computational origami is the computer assisted study of mathematical and computational
aspects of origami. An origami is constructed by a finite sequence of fold steps, each …

Higher-order lazy narrowing calculus: A solver for higher-order equations

T Ida, M Marin, T Suzuki - … Aided Systems Theory—EUROCAST 2001: A …, 2001 - Springer
This paper introduces a higher-order lazy narrowing calculus (HOLN for short) that solves
higher-order equations over the domain of simply typed λ-terms. HOLN is an extension and …

An open environment for cooperative equational solving

T Ida, M Marin, N Kobayashi - Wuhan University Journal of Natural …, 2001 - Springer
We describe a system called CFLP which aims at the integration of the best features of
functional logic programming (FLP), cooperative constraint solving (CCS), and distributed …

Reducing search space in solving higher-order equations

T Ida, M Marin, T Suzuki - Progress in Discovery Science: Final Report of …, 2002 - Springer
We describe the results of our investigation of equational problem solving in higher-order
setting. The main problem is identified to be that of reducing the search space of higher-order …