E-LIB Suche - Ergebnisse für: Henrik Skibbe

1

A new family of instance-level loss functions for improving..:

Rachmadi, Muhammad Febrian ; Byra, Michal ; Skibbe, Henrik
Computers in Biology and Medicine. 174 (2024) - p. 108414 , 2024

Link: https://doi.org/10.1016/..

2

Exploring the performance of implicit neural representation..:

Byra, Michal ; Poon, Charissa ; Rachmadi, Muhammad Febrian..
Scientific Reports. 13 (2023) 1 - p. , 2023

Link: https://doi.org/10.1038/..

3

The Brain/MINDS Marmoset Connectivity Resource: An open-acc..:

Skibbe, Henrik ; Rachmadi, Muhammad Febrian ; Nakae, Ken...
PLOS Biology. 21 (2023) 6 - p. e3002158 , 2023

Link: https://doi.org/10.1371/..

4

Local and long-distance organization of prefrontal cortex c..:

Watakabe, Akiya ; Skibbe, Henrik ; Nakae, Ken...
Neuron. 111 (2023) 14 - p. 2258-2273.e10 , 2023

Link: https://doi.org/10.1016/..

5

Distinctiveness and continuity in transcriptome and connect..:

Shima, Yasuyuki ; Skibbe, Henrik ; Sasagawa, Yohei...
Cell Reports. 42 (2023) 10 - p. 113309 , 2023

Link: https://doi.org/10.1016/..

6

Where Position Matters—Deep-Learning–Driven Normalization a..:

Reisert, Marco ; Sajonz, Bastian E.A. ; Brugger, Timo S....
Neuromodulation: Technology at the Neural Interface. 26 (2023) 2 - p. 302-309 , 2023

Link: https://doi.org/10.1016/..

7

An Automated Pipeline to Create an Atlas of in Situ Hybridi..:

, In: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI),

Poon, Charissa ; Rachmadi, Muhammad Febrian ; Byra, Michal... - p. 1-5 , 2023

Link: https://doi.org/10.1109/..

8

Tomographic tract tracing and data driven approaches to unr..:

Coenen, Volker A. ; Watakabe, Akiya ; Skibbe, Henrik...
Brain Stimulation. 16 (2023) 2 - p. 670-681 , 2023

Link: https://doi.org/10.1016/..

9

A dataset of rodent cerebrovasculature from in vivo multiph..:

Poon, Charissa ; Teikari, Petteri ; Rachmadi, Muhammad Febrian..
Scientific Data. 10 (2023) 1 - p. , 2023

Link: https://doi.org/10.1038/..

10

Multi-modal brain magnetic resonance imaging database cover..:

Hata, Junichi ; Nakae, Ken ; Tsukada, Hiromichi...
Scientific Data. 10 (2023) 1 - p. , 2023

Link: https://doi.org/10.1038/..

11

Implicit Neural Representations for Joint Decomposition and..:

, In: Lecture Notes in Computer Science; Medical Image Computing and Computer Assisted Intervention – MICCAI 2023,

Byra, Michal ; Poon, Charissa ; Shimogori, Tomomi. - p. 645-654 , 2023

Link: https://doi.org/10.1007/..

12

A Spiking Neural Network Builder for Systematic Data-to-Mod..:

Gutierrez, Carlos Enrique ; Skibbe, Henrik ; Musset, Hugo.
Frontiers in Neuroinformatics. 16 (2022) - p. , 2022

Link: https://doi.org/10.3389/..

13

Probabilistic Deep Learning with Adversarial Training and V..:

, In: Predictive Intelligence in Medicine; Lecture Notes in Computer Science,

Rachmadi, Muhammad Febrian ; Valdés-Hernández, Maria del C. ; Maulana, Rizal... - p. 168-180 , 2021

Link: https://doi.org/10.1007/..

14

Cellular-resolution gene expression profiling in the neonat..:

Kita, Yoshiaki ; Nishibe, Hirozumi ; Wang, Yan...
Proceedings of the National Academy of Sciences. 118 (2021) 18 - p. , 2021

Link: https://doi.org/10.1073/..

15

The NanoZoomer artificial intelligence connectomics pipelin..:

Woodward, Alexander ; Gong, Rui ; Abe, Hiroshi...
Brain Structure and Function. 225 (2020) 4 - p. 1225-1243 , 2020

Link: https://doi.org/10.1007/..