Contact

PD. Dr. Gabriele Lohmann

Adresse: Spemannstr. 41
72076 Tübingen
Raum Nummer: 4.B.08
Tel.: 07071 601 931
Fax: 07071 601 702
E-Mail: Gabriele.Lohmann

 

Bild von Lohmann, Gabriele, PD. Dr.

Gabriele Lohmann

Position: Projektleiter  Abteilung: Scheffler

The focus of my research is the development of new methods for the analysis of structural and functional magnetic resonance imaging data (MRI) of the human brain.

Two aspects play a key role in strategies for MRI data analysis: first, it is now recognized that the human brain is a complex adaptive system and  exhibits the hallmarks of complexity such as emergence of patterns arising out of a multitude of interactions between its many constituents. Second, the field of fMRI has evolved into a data-intensive, ``big data'' endeavour with large databases and masses of data being shared around the world. At the same time, ultra-high field MRI scanners are now available producing data at previously unobtainable quality and quantity. Both aspects have led to shifts in the way in which we view fMRI data.

Education:

1999: Habilitation in applied computer science, Technical University of Munich

1991: Doctorate in Computer Science, Technical University of Munich

1984: Diploma in Mathematics, University of Muenster

 

Professional experience:

1984 - 1991: German Aerospace Center (DLR) in Oberpfaffenhofen, Germany

1991 - 1995: Institute of Informatics, Technical University of Munich.

1995 - 2013: Max Planck Institute for Cognitive and Brain Sciences, Leipzig

since 2013:  Max Planck Institute for Biological Cybernetics and University Clinic, Tuebingen

 

Scholarships / international experience:

1989 - 1990: Univ of Massachussetts, Amherst, MA, USA (DAAD scholarship)

1980 - 1981: Indiana University, Bloomington, IN, USA (Fulbright scholarship)

Präferenzen: 
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Artikel (64):

Neumann J und Lohmann G (Oktober-2003) Bayesian second-level analysis of functional magnetic resonance images NeuroImage 20(2) 1346–1355.
Schurbotz RI, von Cramon DY und Lohmann G (September-2003) Auditory what, where, and when: a sensory somatotopy in lateral premotor cortex NeuroImage 20(1) 173–185.
Neumann J, Lohmann G, Zysset S und von Cramon DY (Juli-2003) Within-subject variability of BOLD response dynamics NeuroImage 19(3) 784-796.
Müller K, Mildner T, Lohmann G und von Cramon DY (März-2003) Investigating the stimulus-dependent temporal dynamics of the BOLD signal using spectral methods Journal of Magnetic Resonance Imaging 17(3) 375–382.
Pollmann S, Weidner R, Humphreys GW, Olivers CNL, Müller K, Lohmann G, Wiggins CJ und Watson DG (Februar-2003) Separating distractor rejection and target detection in posterior parietal cortex: An event-related fMRI study of visual marking NeuroImage 18(2) 310–323.
Müller K, Lohmann G, Zysset S und von Cramon DY (Januar-2003) Wavelet statistics of functional MRI data and the general linear model Journal of Magnetic Resonance Imaging 17(1) 20–30.
Koelsch S, Gunter TC, von Cramon DY, Zysset S, Lohmann G und Friederici AD (Oktober-2002) Bach Speaks: A Cortical "Language-Network" Serves the Processing of Music NeuroImage 17(2) 956–966.
Meyer M, Alter K, Friderici AD, Lohmann G und von Cramon DY (Oktober-2002) FMRI reveals brain regions mediating slow prosodic modulations in spoken sentences Human Brain Mapping 17(2) 73–88.
Lohmann G und Bohn S (Mai-2002) Using replicator dynamics for analyzing fMRI data of the human brain IEEE Transactions on Medical Imaging 21(5) 485-492.
Lohmann G, Müller K, Bosch V, Mentzel H, Hessler S, Chen L, Zysset S und von Cramon DY (November-2001) Lipsia: a new software system for the evaluation of functional magnetic resonance images of the human brain Computerized Medical Imaging and Graphics 25(6) 449–457.
Müller K, Lohmann G, Bosch V und von Cramon DY (August-2001) On Multivariate Spectral Analysis of fMRI Time Series NeuroImage 14(2) 347–356.
Zysset S, Müller K, Lohmann G und von Cramon DY (Januar-2001) Color-Word Matching Stroop Task: Separating Interference and Response Conflict NeuroImage 13(1) 29–36.
Lohmann G und von Cramon DY (September-2000) Automatic labelling of the human cortical surface using sulcal basins Medical Image Analysis 4(3) 179–188.
Lohmann G, von Cramon DY und Steinmetz H (Oktober-1999) Sulcal Variability of Twins Cerebral Cortex 9(7) 754-763.
Lohmann G (Dezember-1998) Extracting line representations of sulcal and gyral patterns in MR images of the human brain IEEE Transactions on Medical Imaging 17(6) 1040-1048.
Lohmann G (Januar-1995) Analysis and synthesis of textures: A co-occurrence-based approach Computers & Graphics 19(1) 29-36.

Beiträge zu Tagungsbänden (25):

Lohmann G, Stelzer J, Zuber V, Buschmann T, Erb M und Scheffler K (Juni-2014) Correlation bundle statistics in fMRI data, 4th International Workshop on Pattern Recognition in Neuroimaging (PRNI 2014), IEEE, Piscataway, NJ, USA, 1-4.
Lohmann G, Neumann J, Müller K und Lepsien J (September-2008) The multiple comparison problem in fMRI: a new method based on anatomical priors, First MICCAI Workshop on Analysis of Functional Medical Images, 1-8.
Lohmann G, von Cramon DY und Colchester AC (Oktober-2006) Investigating Cortical Variability Using a Generic Gyral Model In: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2006, , 9th International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer, Berlin, Germany, 109-116, Series: Lecture Notes in Computer Science ; 4191.
Lohmann G, von Cramon DY und Colchester AC (Oktober-2005) A Construction of an Averaged Representation of Human Cortical Gyri Using Non-linear Principal Component Analysis In: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005, , 8th International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer, Berlin, Germany, 749-756, Series: Lecture Notes in Computer Science ; 3750.
Windreich G, Kiryati N und Lohmann G (November-2003) Surface Area Estimation in Practice In: Discrete Geometry for Computer Imagery, , 11th International Conference on Discrete Geometry for Computer Imagery (DGCI 2003), Springer, Berlin, Germany, 358-367, Series: Lecture Notes in Computer Science ; 2886.
Lohmann G, Preul C und Hund-Georgiadis M (Juli-2003) Morphology-Based Cortical Thickness Estimation In: Information Processing in Medical Imaging, , 18th International Conference on Information Processing in Medical Imaging (IPMI 2003), Springer, Berlin, Germany, 89-100, Series: Lecture Notes in Computer Science ; 2732.
Lohmann G und von Cramon DY (Juni-2001) Detecting Functionally Coherent Networks in fMRI Data of the Human Brain Using Replicator Dynamics In: Information Processing in Medical Imaging, , 17th International Conference on Information Processing in Medical Imaging (IPMI 2001), Springer, Berlin, Germany, 218-224, Series: Lecture Notes in Computer Science ; 2082.
Lohmann G und von Cramon DY (September-1999) Using Sulcal Basins for Analyzing Functional Activations Patterns in the Human Brain In: Medical Image Computing and Computer-Assisted Intervention: MICCAI’99, , Second International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer, Berlin, Germany, 489-497, Series: Lecture Notes in Computer Science ; 1679.
Lohmann G und von Cramon DY (Juni-1998) Automatic detection and labelling of the human cortical folds in magnetic resonance data sets In: Computer Vision - ECCV'98, , 5th European Conference on Computer Vision, Springer, Berlin, Germany, 369-381, Series: Lecture Notes in Computer Science ; 1407.
Lohmann G und von Cramon DY (Juni-1998) Sulcal basins and sulcal strings as new concepts for describing the human cortical topography, Workshop on Biomedical Image Analysis 1998, IEEE Computer Society Press, Los Alamitos, CA, USA, 24-33.
Lohmann G, Kruggel F und von Cramon DY (Juni-1997) Automatic detection of sulcal bottom lines in MR images of the human brain In: Information Processing in Medical Imaging, , 15th International Conference on Information Processing in Medical Imaging (IPMI'97), Springer, Berlin, Germany, 369-374, Series: Lecture Notes in Computer Science ; 1230.
Kruggel F und Lohmann G (Juni-1997) Automatical adaption of the stereotactical coordinate system in brain MRI datasets In: Information Processing in Medical Imaging, , 15th International Conference on Information Processing in Medical Imaging (IPMI'97), Springer, Berlin, Germany, 471-476, Series: Lecture Notes in Computer Science ; 1230.
Kruggel F und Lohmann G (November-1996) BRIAN (Brain Image Analysis): Ein Programmsystem zur Analyse multimodaler Datensätze des Gehirns In: Bildverarbeitung für die Medizin: Algorithmen, Systeme, Anwendungen, , Aachener Workshop Bildverarbeitung für die Medizin, Verlag der Augustinus-Buchhandlung, Aachen, Germany, 1-6.
Lohmann G und Kruggel F (August-1996) Extracting lines of maximal depth from MR images of the human brain, 13th International Conference on Pattern Recognition (ICPR '96), IEEE Computer Society, Los Alamitos, CA, USA, 518-522.
Kruggel FJ und Lohmann G (Juni-1996) BRIAN (Brain image analysis): A toolkit for the analysis of multimodal brain datasets In: CAR '96: Computer Assisted Radiology, , International Symposium on Computer and Communication Systems for Image Guided Diagnosis and Therapy, Elsevier, Amsterdam, Netherlands, 323-328.
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Lohmann G (September-1995) A new method of extracting closed contours using maximal discs In: Computer Analysis of Images and Patterns, , 12th International Conference on Computer Analysis of Images and Patterns (CAIP 1995), Springer, Berlin, Germany, 472-479, Series: Lecture Notes in Computer Science ; 970.
Lohmann G (September-1995) Modellbasierte Detektion von Objekten mittels deformierbarer Mittelachsen In: Mustererkennung 1995: Verstehen akustischer und visueller Informationen, , 17. DAGM-Symposium, Springer, Berlin, Germany, 578-585, Series: Informatik aktuell.
Keil M, Scales D, Semmt W, Winter R, Hönsch H und Lohmann G (Februar-1995) Tropical Rainforest Investigation with ERS-1 SAR Data in the Region of Sena Madureira, Acre/Brazil (TREES Study Area LAM-2), TREES ERS-1 Study '94 Workshop, 33-41.
Lohmann G (September-1994) Assessment of textural features for remote sensing applications, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision, SPIE, Bellingham, WA, USA, 512-516, Series: Proceedings of the SPIE ; 2357.
Moctezuma J, Bernasch J, Lohmann G, Schweikard A und Gosse F (September-1994) Robotic surgery and planning for corrective femur osteotomy, IEEE/RSJ/GI International Conference on Intelligent Robots and Systems (IROS '94), IEEE Service Center, Piscataway, NJ, USA, 870-877.
Eckstein W, Lohmann G, Meyer-Gruhl U, Riemer R, Altamirano Robles L und Wunderwald J (September-1993) Benutzerfreundliche Bildanalyse mit HORUS: Architektur und Konzepte In: Mustererkennung 1993: Mustererkennung im Dienste der Gesundheit, , 15. DAGM-Symposium, Springer, Berlin, Germany, 332-340.
Lohmann G (September-1993) Texturklassifikation mit Polynomialverteilungen In: Mustererkennung 1993: Mustererkennung im Dienste der Gesundheit, , 15. DAGM-Symposium, Springer, Berlin, Germany, 576-583.
Lohmann G (Oktober-1991) An Evidential Reasoning Approach to the Classification of Satellite Images In: Symbolic and Quantitative Approaches to Uncertainty, , European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty (ECSQAU 1991), Springer, Berlin, Germany, 227-231, Series: Lecture Notes in Computer Science ; 548.
Lohmann G (Oktober-1991) Evidenzbasierte Interpretation von Satellitenbilddaten In: Mustererkennung 1991, , 13. DAGM-Symposium, Springer, Berlin, Germany, 273-278, Series: Informatik-Fachberichte ; 290.
Winter R, Markwitz W, Lotz-Iwen H-J und Lohmann G (November-1987) Datentechnische Werkzeuge zur digitalen Verarbeitung von Satellitenbilddaten für Fernerkundungsanwendungen In: Informatikanwendungen im Umweltbereich, , 2. Symposium Informatikanwendungen im Umweltbereich, Springer, Berlin, Germany, 61-66, Series: Informatik-Fachberichte ; 170.

Technische Berichte (1):

Lohmann G, Müller K, Bosch V, Mentzel H, Hessler S, Chen L und von Cramon DY: LIPSIA: Leipzig Image Processing and Statistical Inference Algorithms: Overview, Max-Planck-Institute of Mathematics in the Sciences, Leipzig, Germany, (März-2001).

Poster (43):

Lohmann G, Stelzer J, Mueller K, Kumar V, Grodd W, Buschmann T und Scheffler K (Juni-29-2017): LISA: a new threshold-free and non-parametric statistical inference method for fMRI data, 23rd Annual Meeting of the Organization for Human Brain Mapping (OHBM 2017), Vancouver, BC, Canada.
Mueller K, Lepsien J, Möller H und Lohmann G (Juni-28-2017): Inflated false positive rates in fMRI depend on the voxel size of normalized images, 23rd Annual Meeting of the Organization for Human Brain Mapping (OHBM 2017), Vancouver, BC, Canada.
Mueller K, Lepsien J, Möller H und Lohmann G (April-27-2017): Inflated false positive rates in fMRI depend on the voxel size of normalized images, 25th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2017), Honolulu, HI, USA.
Stelzer J, Ehses P, Bause J, Scheffler K und Lohmann G (November-16-2016): Resolving large-scale networks in ultra-high field fMRI (9.4T) of the human brain, 46th Annual Meeting of the Society for Neuroscience (Neuroscience 2016), San Diego, CA, USA.
de Azevedo FA, Ortiz-Rios M, Azevedo LC, Balla DZ, Lohman G, Logothetis NK und Keliris GK (November-16-2016): Simultaneous resting-state and visually-driven functional networks in the macaque brain, 46th Annual Meeting of the Society for Neuroscience (Neuroscience 2016), San Diego, CA, USA.
Azevedo F, Ortiz-Rios M, Azevedo L, Balla D, Lohmann G und Logothetis NK (September-2016): Simultaneous resting-state and visually-driven functional networks in the macaque brain, 17th Conference of Junior Neuroscientists of Tübingen (NeNa 2016): Neuroscience & Law, Schramberg, Germany.
Lohmann G, Stelzer J und Scheffler K (Juni-29-2016): Task-induced edge density analysis applied to the HCP social recognition experiment, 22nd Annual Meeting of the Organization for Human Brain Mapping (OHBM 2016), Geneva, Switzerland.
Lacosse E, Bause J, Lohmann G, Scheffler K, Schaal S und Sternad D (April-26-2016): Neural Control of Discrete and Rhythmic Movements, 26th Annual Meeting of the Society for the Neural Control of Movement (NCM 2016), Montego Bay, Jamaica.
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Last updated: Montag, 22.05.2017