ISSN 2957-3963
Vol. 3, 2023August 07, 2023 CDT
Improving the Interpretability of fMRI Decoding Using Deep Neural Networks and Adversarial Robustness
Improving the Interpretability of fMRI Decoding Using Deep Neural Networks and Adversarial Robustness
Articles in Vol. 3, 2023
Vol. 3, 2023
- Visual QC Protocol for FreeSurfer Cortical Parcellations from Anatomical MRIPradeep Reddy RaamanaAthena TheyersTharushan SelliahPiali BhatiStephen R. ArnottStefanie HasselNuwan D. NanayakkaraChristopher J. M. ScottJacqueline HarrisMojdeh ZamyadiRaymond W. LamRoumen MilevDaniel J. MüllerSusan RotzingerBenicio N. FreySidney H. KennedySandra E. BlackAnthony LangMario MasellisSean SymonsRobert BarthaGlenda M. MacQueenThe CAN-BIND Investigator TeamStephen C. StrotherThe ONDRI Investigators
- VisualQC: software development kit for medical and neuroimaging quality control and assurancePradeep Reddy Raamana
- Proceedings of the OHBM Brainhack 2021Aki NikolaidisMatteo ManciniTibor AuerKatherine L. BottenhornEva Alonso-OrtizGabriel Gonzalez-EscamillaSofie ValkTristan GlatardMelvin Selim AtayJohanna M.M. BayerJanine BijsterboschJohannes AlgermissenNatacha BeckPatrick BermudezIsil Poyraz BilginSteffen BollmannClaire BradleyMegan E.J. CampbellBryan CaronOren CivierLuis Pedro CoelhoShady El DamatySamir DasMathieu DugréEric EarlStefanie EvasNastassja Lopes FischerDe Fu YapKelly G. GarnerRemi GauGiorgio GanisDylan G. E. GomesMartin GrignardSamuel GuayOmer Faruk GulbanSarah HamburgYaroslav O. HalchenkoValerie Hayot-SassonDawn Liu HolfordLaurentius HuberManuel IllanesTom JohnstoneAvinash KalyaniKinshuk KashyapHan KeIbrahim KhormiGregory KiarVanja KovićTristan KuehnAchintya KumarXavier Lecours-BoucherMichael LührsRobert LukeCecile MadjarSina Mansour L.Chris MarkeweiczPaula Andrea MartinezAlexandra McCarrollLéa MichelStefano MoiaAswin NarayananGuiomar NisoEmmet A. O’BrienKendra OudykFrançois PaugamYuri G. PavlovJean-Baptiste PolineBenedikt A. PoserCéline ProvinsPradeep Reddy RaamanaPierre RiouxDavid Romero-BasconesEkansh SareenAntonio SchettinoAlec ShawThomas ShawCooper A. SmoutAnđdela ŠoškiéJessica StoneSuzy J StylesRyan SullivanNaoyuki SunamiShamala SundarayJasmine Wei RouDao Thanh ThuySebastien TourbierSebastián UrchAlejandro de la VegaNiruhan ViswarupanAdina WagnerLennart WalgerHao-Ting WangFei Ting WoonDavid WhiteChristopher WigginsWill WoodsYu-Fang YangKsenia ZaytsevaJudy D. ZhuMarcel P. Zwiers
- Contrast-agnostic deep learning–based registration pipeline: Validation in spinal cord multimodal MRI dataEvan BealJulien Cohen-Adad
- Fast retrieval of fMRI data for real-time applications: improving the transfer time through direct connectionMichael LührsBenedikt A. PoserTibor AuerRainer Goebel
- Internalizing and externalizing behaviors in school-aged children are related to state anxiety during magnetic resonance imagingRobin EijlersElisabet BlokTonya WhiteElisabeth M.W.J. UtensHenning TiemeierLonneke M. StaalsJohan M. BerghmansRene M.H. WijnenManon H.J. HillegersJeroen S. LegersteeBram Dierckx
- Improving the Interpretability of fMRI Decoding Using Deep Neural Networks and Adversarial RobustnessPatrick McClureDustin MoraczewskiKa Chun LamAdam ThomasFrancisco Pereira
- Rodent Whole-Brain fMRI Data Preprocessing ToolboxNan XuLeo ZhangSam LarsonZengmin LiNmachi AnumbaLauren DaleyWen-Ju PanKai-Hsiang ChuangShella D. Keilholz
- Evaluating the capabilities and challenges of layer-fMRI VASO at 3TLaurentius HuberLisa KronbichlerRüdiger StirnbergPhilipp EhsesTony StöckerSara Fernández-CabelloBenedikt A. PoserMartin Kronbichler
- Denoising physiological data collected during multi-band, multi-echo EPI sequencesKatherine L. BottenhornTaylor SaloMichael C. RiedelMatthew T. SutherlandJennifer L. RobinsonErica D. MusserAngela R. Laird
- Hemodynamic Deconvolution Demystified: Sparsity-Driven Regularization at WorkEneko UruñuelaThomas A.W. BoltonDimitri Van De VilleCésar Caballero-Gaudes
- Investigation of layer-specific BOLD signal in the human visual cortex during visual attentionTim van MourikPeter J. KoopmansLauren J. BainsDavid G. NorrisJanneke F.M. Jehee
- How can we reduce the climate costs of OHBM? A vision for a more sustainable meetingSamira EppHeejung JungValentina BorghesaniMilan KlöwerMarie-Eve HoeppliMaria MisiuraElinor ThompsonNiall W. DuncanAnne E. UraiMichele VeldsmanSepideh SadaghianiCharlotte L. Rae
- NiMARE: Neuroimaging Meta-Analysis Research EnvironmentTaylor SaloTal YarkoniThomas E. NicholsJean-Baptiste PolineMurat BilgelKatherine L. BottenhornSimon B. EickhoffDorota JareckaJames D. KentAdam KimblerDylan M. NielsonKendra M. OudykJulio A. PerazaAlexandre PérezPuck C. ReedersJulio A. YanesAngela R. Laird
- FastSRM: A fast, memory efficient and identifiable implementation of the shared response modelHugo RichardBertrand Thirion
- img2fmri: a python package for predicting group-level fMRI responses to visual stimuli using deep neural networksMaxwell BennettChristopher Baldassano
- Acquisition and processing methods of whole-brain layer-fMRI VASO and BOLD: The Kenshu datasetKenshu KoisoAnna K MüllerKazuaki AkamatsuSebastian DresbachChristopher J WigginsOmer Faruk GulbanRainer GoebelYoichi MiyawakiBenedikt A PoserLaurentius Huber
- A Practical Guide for Generating Reproducible and Programmatic Neuroimaging VisualizationsSidhant ChopraLoïc LabacheElvisha DhamalaEdwina R OrchardAvram Holmes
- Multiband acquisition sequences for fMRI: Proceed with cautionMatthew B Wall
1.
McClure P, Moraczewski D, Lam KC, Thomas A, Pereira F. Improving the Interpretability of fMRI Decoding Using Deep Neural Networks and Adversarial Robustness. Aperture Neuro. 2023;3:1-17. doi:10.52294/001c.85074