Contribution to a book

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2026-05-18
17:04
[DZNE-2026-00537] Contribution to a book
; ; ; et al
Case 53: Second Generation Tau-PET in a Case with Arteriovenous Malformation and Mild Cognitive Impairment
Clinical Nuclear Medicine in Neurology / Varrone, Andrea (Editor) ; Cham : Springer Nature Switzerland, 2025, Chapter 53 ; ISBN: 978-3-032-00521-2 ; doi:10.1007/978-3-032-00522-9 Cham : Springer Nature Switzerland 263-267 () [10.1007/978-3-032-00522-9_53]
This case highlights a diagnostic challenge in a 63-year-old female with mild cognitive impairment (MCI) and an arteriovenous malformation (AVM) in the right parieto-occipital brain region. While the patient exhibited minor memory deficits with preserved daily function, a tau-PET scan using [18F]PI-2620 was performed to evaluate possible underlying tauopathy. [...]

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2026-05-18
17:01
[DZNE-2026-00536] Contribution to a book
; ; ; et al
Case 5: Double Plot Twist in a Patient with a Suspected Diagnosis of Alzheimer’s Disease
Clinical Nuclear Medicine in Neurology / Varrone, Andrea (Editor) ; Cham : Springer Nature Switzerland, 2025, Chapter 5 ; ISBN: 978-3-032-00521-2 ; doi:10.1007/978-3-032-00522-9 Cham : Springer Nature Switzerland 25-30 () [10.1007/978-3-032-00522-9_5]
This case study reports a diagnostically complex scenario involving a 77-year-old female who initially presented with mild memory complaints. Over the course of one year, she exhibited significant cognitive decline, with MMSE scores dropping from 27/30 to 20/30. [...]

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2026-04-23
14:25
[DZNE-2026-00436] Contribution to a conference proceedings/Contribution to a book
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Preserving Instance Continuity and Length in Segmentation Through Connectivity-Aware Loss Computation
2025 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) : [Proceedings] - IEEE, 2025. - ISBN 979-8-3315-8988-2 - doi:10.1109/ICCVW69036.2025.00609
2025 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW, HonoluluHonolulu, HI, 19 Oct 2025 - 20 Oct 20252025-10-192025-10-20
IEEE 5841-5850 () [10.1109/ICCVW69036.2025.00609]
In many biomedical segmentation tasks, the preservation of elongated structure continuity and length is more important than voxel-wise accuracy. We propose two novel loss functions, Negative Centerline Loss and Simplified Topology Loss, that, applied to Convolutional Neural Networks (CNNs), help preserve connectivity of output instances. [...]
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2026-04-08
13:30
OpenAccess [DZNE-2026-00367] Contribution to a book
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From Fundamental Science to the Clinic (and Back Again): A Translational Framework for Navigation and Aging
Challenges in Navigation Research / Newcombe, Nora S. (Editor) [https://orcid.org/0000-0002-7044-6046] ; Cham : Springer Nature Switzerland, 2026, Chapter 16 ; ISSN: 3059-3786=3059-3794 ; ISBN: 978-3-032-20562-9=978-3-032-20563-6 ; doi:10.1007/978-3-032-20563-6 Cham : Springer Nature Switzerland, Strüngmann Forum Reports 431 - 467 () [10.1007/978-3-032-20563-6_16]
Global societies face unprecedented challenges as populations age. The ability to navigate is central to nearly all meaningful activities in which older adults participate, promoting both independence and health. [...]
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2026-04-01
14:12
OpenAccess [DZNE-2026-00345] Contribution to a conference proceedings/Contribution to a book
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Network-Level Characterization of Hippocampal Disruptions in Alzheimer's Disease Using Large-Scale Electrophysiology.
2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) : [Proceedings] - IEEE, 2025. - ISBN 979-8-3315-8618-8 - doi:10.1109/EMBC58623.2025.11253272
47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC, CopenhagenCopenhagen, Denmark, 14 Jul 2025 - 18 Jul 20252025-07-142025-07-18
IEEE 1-4 () [10.1109/EMBC58623.2025.11253272]
Alzheimer's disease (AD), a progressive neurodegenerative disorder, is projected to affect over 130 million people globally by 2050. While extensive efforts have focused on targeting molecular hallmarks such as amyloid-beta (Aβ) plaques and tau pathology, network-level dysfunction remains a critical but underexplored component of AD progression. [...]
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2026-04-01
14:10
OpenAccess [DZNE-2026-00344] Contribution to a conference proceedings/Contribution to a book
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High-Density MEA Reveals Distinct Sharp-Wave Ripple Network Dynamics Across Induction Methods in the Hippocampus.
2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) : [Proceedings] - IEEE, 2025. - ISBN 979-8-3315-8618-8 - doi:10.1109/EMBC58623.2025.11254514
47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC, CopenhagenCopenhagen, Denmark, 14 Jul 2025 - 18 Jul 20252025-07-142025-07-18
IEEE 1-4 () [10.1109/EMBC58623.2025.11254514]
Learning and memory are fundamental brain functions governed by rhythmic oscillatory activity, which synchronizes neural communication and modulates network dynamics. Distinct oscillatory patterns-theta (θ), beta (β), gamma (γ), and sharp wave-ripples (SWR)-coordinate neural ensemble activity, particularly in the hippocampal CA1-CA3 regions, where they play a crucial role in learning and memory. [...]
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2026-04-01
14:07
OpenAccess [DZNE-2026-00343] Contribution to a conference proceedings/Contribution to a book
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A Computational Framework for Learning and Memory: Network Motif Evolution During LTP-Induced Plasticity.
2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) : [Proceedings] - IEEE, 2025. - ISBN 979-8-3315-8618-8 - doi:10.1109/EMBC58623.2025.11254218
47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC, CopenhagenCopenhagen, Denmark, 14 Jul 2025 - 18 Jul 20252025-07-142025-07-18
IEEE 1-4 () [10.1109/EMBC58623.2025.11254218]
Unraveling the complexity of network-level synaptic plasticity remains a challenge due to the dynamic and interconnected nature of neural circuits. In this study, we employ network motifs-recurrent, functionally specialized patterns of connectivity-as a framework to dissect long-term potentiation (LTP)-induced reorganization in hippocampal CA1-CA3 networks. [...]
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2026-04-01
14:05
[DZNE-2026-00342] Contribution to a conference proceedings/Contribution to a book
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Spatiotemporal Mapping of Epileptiform Dynamics in the Hippocampal Circuit via High-Density Biosensors.
2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) : [Proceedings] - IEEE, 2025. - ISBN 979-8-3315-8618-8 - doi:10.1109/EMBC58623.2025.11253841
47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC, CopenhagenCopenhagen, Denmark, 14 Jul 2025 - 18 Jul 20252025-07-142025-07-18
IEEE 1-4 () [10.1109/EMBC58623.2025.11253841]
70 million people suffer from epilepsy worldwide with temporal lobe epilepsy (TLE) being the most common focal epilepsy in adults. The hippocampus, a region associated with TLE, is highly susceptible to pathological synchronization and epileptogenesis due to its functional and anatomical organization. [...]
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2026-04-01
13:44
[DZNE-2026-00339] Contribution to a book

Preface
Models in Inflammation and Immunopharmacology / Secchim Ribeiro, Lucas (Editor) ; New York, NY : Springer US, 2026, ; ISSN: 1064-3745=1940-6029 ; ISBN: 978-1-0716-5018-9=978-1-0716-5019-6 ; doi:10.1007/978-1-0716-5019-6 New York, NY : Springer US, Methods in Molecular Biology 2993, v-vi ()
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2026-03-20
15:06
[DZNE-2026-00293] Contribution to a conference proceedings/Contribution to a book
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Integrating Large Language Models with Formal Planning to Automate the Design and Validation of Biosignal Processing Pipelines
2025 IEEE 37th International Conference on Tools with Artificial Intelligence (ICTAI) : [Proceedings] - IEEE, 2025. - ISBN 979-8-3315-4919-0 - doi:10.1109/ICTAI66417.2025.00117
2025 IEEE 37th International Conference on Tools with Artificial Intelligence, ICTAI, AthensAthens, Greece, 3 Nov 2025 - 5 Nov 20252025-11-032025-11-05
IEEE 806 - 812 () [10.1109/ICTAI66417.2025.00117]
Robust analysis of biosignals hinges on well-crafted processing pipelines, yet assembling them is still a slow, errorprone exercise, requiring both domain expertise and programming skills. While Large Language Models (LLMs) offer promising assistance, they fundamentally lack the combinatorial reasoning capabilities needed for designing reliable and reproducible processing pipelines. [...]
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