Archives

SEMINAR: Optimal Partial Resection Problem by Taghi Khaniyev

SEMINAR Speaker: Taghi Khaniyev, Bilkent University Date & Time: August 3, 2022, Wednesday 12:00. Place: EA-409   Abstract: Connectome is the representation of the structural connectivity (the physical wiring) and functional connectivity (interactions between different brain regions) of an organism’s nervous system as a mathematical network (a set of nodes and the connections between them). […]

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UMRAM Seminar: ”Displacement Spectrum Imaging with MRI”

Hybrid Seminar: Simultaneously at UMRAM Seminar Room & Live on Zoom   Zoom Link:  https://zoom.us/j/3750698016?pwd=Vk14RndrYnRBYkJQT0Y1bW5hWFpXUT09 ID: 375 069 8016 Pass: 086558 Date/Time: Friday, 3 June 2022, 13:30-14:30   Title: Displacement Spectrum Imaging with MRI Speaker: Ekin Karaşan, PhD Candidate, University of California, Berkeley Abstract: Displacement Spectrum Imaging (DiSpect) is a new method for probing complex tissue […]

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UMRAM/ASBAM Spring 2022 Seminars: ”Data driven interference in diffusion MRI: Deep learning harmonization of quantitative brain biomarkers”

Professor Bennett A. Landman Vanderbilt University   Date/Time: Tuesday, April 26th, 4:00 pm Zoom Meeting ID: 914 5092 0667 (Passcode: 896970) https://zoom.us/j/91450920667?pwd=VjlFc1pSRXliaGdmZzJIS2xqNEFyUT09   Abstract: Diffusion-weighted magnetic resonance imaging (DW-MRI) has been included in many national-scale studies. Yet, quantitative investigation of DW-MRI data is hindered by a lack of consistency. I will discuss successful applications of deep […]

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UMRAM/ASBAM Spring 2022 Seminars: “Learning Regularizers for Image Reconstruction”

Dr. Saiprasad Ravishankar Michigan State University Date/Time: Friday, March 25th, 4:30 pm Zoom Meeting ID: 945 8994 6946 (Passcode: 896970) https://zoom.us/j/94589946946?pwd=MDJtU0R6RXhUdk1kU2hTUG1CSWNydz09 Abstract: In this talk, we present approaches for learning sparsity-based and deep neural network-based regularizers for inverse problems in imaging. Our methods allow learning robust models from very limited training data. We will first […]

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SEMINAR: Diachronic Natural Language Processing by Aykut Koç

Diachronic Natural Language Processing   by Asst. Prof. Aykut Koç Dept. of Electrical and Electronics Engineering, Bilkent UMRAM, Bilkent   Date/Time: Friday, March 4th, 2022, at 3:40PM Place: EE-517   Abstract: Languages evolve with time since cultural and linguistic effects alter meanings of words. Diachronic study of semantic change explores changes in word meanings. Semantic change comes in […]

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