deepbet: Fast brain extraction of T1-weighted MRI using Convolutional Neural Networks

Fisch L.; Zumdick S.; Barkhau C.; Emden D.; Ernsting J.; Leenings R.; Sarink K.; Winter N.R.; Risse B.; Dannlowski U.; Hahn T. (2024)

In: Computers in Biology and Medicine, 179.

Research article (journal)

Genetic, individual, and familial risk correlates of brain network controllability in major depressive disorder.

Hahn T; Winter NR; Ernsting J; Gruber M; Mauritz MJ; Fisch L; Leenings R; Sarink K; Blanke J; Holstein V; Emden D; Beisemann M; Opel N; Grotegerd D; Meinert S; Witt S; Heindel W; Nöthen MM; Rietschel M; Kircher T; Forstner AJ; Jansen A; Nenadic I; Andlauer TFM; Müller-Myhsok B; van den Heuvel MP; Walter M; Dannlowski U; Jamalabadi H; Repple J (2023)

In: Molecular Psychiatry, 28(3).

Research article (journal)

An Uncertainty-Aware, Shareable and Transparent Neural Network Architecture for Brain-Age Modeling

Hahn T, Ernsting J, Winter NR, Holstein V, Leenings R, Beisemann M, Fisch L, Sarink K, Emden D, Opel N, Redlich R, Repple J, Grotegerd D, Meinert S, Hirsch JG, Niendorf T, Endemann B, Bamberg F, Kröncke T, Bülow R, Völzke H, von Stackelberg O, Sowade RF, Umutlu L, Schmidt B, Caspers S, Kugel H, Kircher T, Risse B, Gaser C, Cole JH, Dannlowski U, Berger K (2022)

In: Science advances, 8(1).

Research article (journal)

Technical feasibility and adherence of the Remote Monitoring Application in Psychiatry (ReMAP) for the assessment of affective symptoms

In: .

Smartphone-Based Self-Reports of Depressive Symptoms Using the Remote Monitoring Application in Psychiatry (ReMAP): Interformat Validation Study

In: .

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deepbet: Fast brain extraction of T1-weighted MRI using Convolutional Neural Networks Fisch L.; Zumdick S.; Barkhau C.; Emden D.; Ernsting J.; Leenings R.; Sarink K.; Winter N.R.; Risse B.; Dannlowski U.; Hahn T. (2024) In: Computers in Biology and Medicine, 179. Research article (journal)
GateNet: A novel neural network architecture for automated flow cytometry gating Fisch L.; Heming M.; Schulte-Mecklenbeck A.; Gross C.C.; Zumdick S.; Barkhau C.; Emden D.; Ernsting J.; Leenings R.; Sarink K.; Winter N.R.; Dannlowski U.; Wiendl H.; Hörste G.M.z.; Hahn T. (2024) In: Computers in Biology and Medicine, 179. Research article (journal)
Genetic, individual, and familial risk correlates of brain network controllability in major depressive disorder. Hahn T; Winter NR; Ernsting J; Gruber M; Mauritz MJ; Fisch L; Leenings R; Sarink K; Blanke J; Holstein V; Emden D; Beisemann M; Opel N; Grotegerd D; Meinert S; Witt S; Heindel W; Nöthen MM; Rietschel M; Kircher T; Forstner AJ; Jansen A; Nenadic I; Andlauer TFM; Müller-Myhsok B; van den Heuvel MP; Walter M; Dannlowski U; Jamalabadi H; Repple J (2023) In: Molecular Psychiatry, 28(3). Research article (journal)
Towards a network control theory of electroconvulsive therapy response Hahn, Tim; Jamalabadi, Hamidreza; Nozari, Erfan; Winter, Nils R.; Ernsting, Jan; Gruber, Marius; Mauritz, Marco J.; Grumbach, Pascal; Fisch, Lukas; Leenings, Ramona; Sarink, Kelvin; Blanke, Julian; Vennekate, Leon Kleine; Emden, Daniel; Opel, Nils; Grotegerd, Dominik; Enneking, Verena; Meinert, Susanne; Borgers, Tiana; Klug, Melissa; Leehr, Elisabeth J.; Dohm, Katharina; Heindel, Walter; Gross, Joachim; Dannlowski, Udo; Redlich, Ronny; Repple, Jonathan (2023) In: PNAS Nexus, 2(2). Research article (journal)
An Uncertainty-Aware, Shareable and Transparent Neural Network Architecture for Brain-Age Modeling Hahn T, Ernsting J, Winter NR, Holstein V, Leenings R, Beisemann M, Fisch L, Sarink K, Emden D, Opel N, Redlich R, Repple J, Grotegerd D, Meinert S, Hirsch JG, Niendorf T, Endemann B, Bamberg F, Kröncke T, Bülow R, Völzke H, von Stackelberg O, Sowade RF, Umutlu L, Schmidt B, Caspers S, Kugel H, Kircher T, Risse B, Gaser C, Cole JH, Dannlowski U, Berger K (2022) In: Science advances, 8(1). Research article (journal)
Systematic Misestimation of Machine Learning Performance in Neuroimaging Studies of Depression Flint C, Cearns M, Opel N, Redlich R, Mehler DMA, Emden D, Winter NR, Leenings R, Eickhoff SB, Kircher T, Krug A, Nenadic I, Arolt V, Clark S, Baune BT, Jiang X, Dannlowski U, Hahn T (2021) In: Neuropsychopharmacology, 46. Research article (journal)
Technical feasibility and adherence of the Remote Monitoring Application in Psychiatry (ReMAP) for the assessment of affective symptoms In: .
PHOTONAI-A Python API for rapid machine learning model development In: .
Smartphone-Based Self-Reports of Depressive Symptoms Using the Remote Monitoring Application in Psychiatry (ReMAP): Interformat Validation Study In: .
From “Loose Fitting” to High-Performance, Uncertainty-Aware Brain-Age Modelling In: , .