EyeTR 2019, the Symposium on Eye Tracking Research and Applications
The booklet can be found here.
Amin Zabardast, A deep learning approach to surface reconstruction for surgical navigation during laparoscopic, endoscopic or robotic surgery
M.S. Candidate: Amin Zabardast
Program: Medical Informatics
Date: 07.08.2019
Place: A-108
Abstract: Minimally invasive surgical procedures utilize technology to provide surgeons with more functionality as well as a better perspective to help them succeed in their tasks and reduce operations risks. Surgeons usually rely on screens and cameras during minimally invasive surgeries such as Laparoscopic, Endoscopic, or Robotic Surgeries. Currently, operating rooms use information from different modalities such as Computer-Aided Tomography and Magnetic Resonance Imaging. However, the information is not integrated, and the task of extracting and combining features falls under the surgeon’s expertise. Conventional cameras, although very helpful, are not capable of transmitting every aspect of the scene including depth perception. Recently stereo cameras are being introduced to operating rooms. Utilizing stereo endoscopic equipment alongside algorithms to process the information can enable depth perception.The process of extracting depth information from stereo cameras, also known as Stereo Correspondence, is still an active research field in computer science. Understanding depth information from the view is a necessary step for reconstruction of the scene in a 3D environment. Ultimately, this reconstructed environment acts as a basis to build an Augmented Reality with extra information baked into the scene to help the surgeon. Artificial Neural Networks (ANNs), specially Convolutional Neural Networks (CNNs), have revolutionized the computer vision research in the past few years. One of the problems that researchers tried to solve using ANNs was Stereo Correspondence. There are variations of CNNs with excellent accuracy in Stereo Correspondence problem. This thesis aims to achieve surface reconstruction from in vitro stereo images of organs using Deep Neural Networks and in silico simulations.
Announcement Category
Selahattin Polat, Performance Evaluation of Lightweight Cryptographic Algorithms for Internet of Things Security
In this thesis, we investigated the suitability and adaptability of the lightweight cryptographic algorithms on IoT devices, and compare their implementations with those of standard algorithms. We realized our implementations on the Arduino Uno platform, which is widely used in several embedded applications and preferred as a target development platform for its low price-performance ratio. We mainly focused on block ciphers and hash functions, which are the fundamental components of many cryptographic protocols. Among these protocols, Internet Protocol Security (IPSec) suite and DTLS are perhaps from the most well-known and commonly used ones. With our study, we plan to provide results that may be guidelines for existing and future lightweight implementations of IPSec, DTLS and other security protocols on IoT devices.
Date: 26.07.2019 / 13:00 Place: A-212
English
Elif Bozlak, De Novo Snp Calling and Demographic Inference Using Trio Genome Data
In this thesis, we aim to analyze NGS data of three different domestic horse families to detect de novo mutations that occur within one generation. We found a higher number of true positives in highly covered data, while a lower number of true positives in the low covered data, showing the importance of sequencing coverage to detect true de novo mutations. In addition, to make estimations on the demographic history of the families we made PSMC and ROH analysis. Results of these analyses were coherent with previous studies. All in all, we had an idea for the minimum coverage threshold and quality of whole-genome sequencing data, to determine de novo mutations and to estimate population demography.
Date: 29.07.2019 / 11:00 Place: A-212
English
Evrim Fer, Testing Natural Selection on Polygenic Trait-Associated Alleles in Anatolia Using Neolithic and Present-Day Human Genomes
Neolithic transition which has started approximately 10,000 year ago in west Eurasia and created a major shifts in human life. In many studies, strong selection signals on the genes related to changes in life-style were determined. With the advent of archeogenomics studies, those adaptations have also been supported using ancient DNA. Here, polygenic adaptations in Anatolia were investigated by comparing Neolithic (n=36) and modern-day (n=16) genome sequences for 40 polygenic traits potentially associated with diet, immunity and other related complex traits using pairwise FST and population branch statistics (PBS) method which provides a genome-wide selection analysis including a distant population.
Date: 29.07.2019 Place: A-212
English
Mine Cüneyitoğlu Özkul, Single-Image Bayesian Restoration And Multi-Image Super-Resolution Restoration For B-Mode Ultrasound Images Using an Accurate System Model
Medical ultrasound provides various diagnostic advantages. If the image quality is improved, it will be beneficial for clinical usage. In this thesis, the aim is to improve image quality and reduce speckle in B-mode ultrasound images. Both single and multi-frame, in-plane, freehand, 2D scan data was used for this purpose. Non-rigid registration, Bayesian restoration and super-resolution methods, along with a detailed study on statistical modelling of the speckle was employed. The results were compared to widely accepted image filtering methods. In terms of objective evaluation metrics and in image quality assesment on radiology experts, the proposed methods performed better.
Date: 24.07.2019 Place: Conference Hall 1
English
Orhun Olgun, Entropy-based Direction-of-Arrival Estimation Methods for Rigid Spherical Microphone Arrays
The work reported in thesis investigates direction-of-arrival estimation methods for sound sources and proposes novel method called HiGRID and its extensions with DPD test and EB-MUSIC. Proposed methods are based on spherical harmonic decomposition and rigid spherical microphone arrays enables trivial calculation of spherical harmonic decomposition of sound fields. Evaluation of proposed methods are presented in terms of direction-of-arrival estimation errors.
Date: 26.07.2019 Place: A-212
English
Timuçin Berk Atalay, Scattering Delay Networks with Aperture Size Control for Simulating Coupled Volume Acoustics
Artificial reverberators provide a computationally viable alternative to full-scale room acoustics simulation methods for games and extended reality applications. Scattering delay network (SDN) is a relatively recent artificial reverberator that allows direct parametric control over the geometry of a simulated rectangular enclosure. We propose a new model called coupled volume scattering delay networks (CV-SDN) which extends the classic SDN structure for enclosures coupled via an aperture. The extension allows independent control of acoustical properties of volumes and the size of the connecting aperture. The utility of the proposed method is demonstrated by the energy decay curves obtained from impulse responses.
Date: 26.07.2019 Place: A-212
English
Ozan Emirhan Bayyurt, Designing and Implementing a Game Development Framework for Interactive Stories and Role Playing Games
Video games are a great medium for storytelling. This thesis proposes a game development framework to help developers create role-playing games in a much easier and quicker fashion. With its modular structure, the proposed framework offers developers a highly scalable game development environment.
Date: 23.07.2019 10:00 Place: Computer Engineering Building A-105
English
Siber Güvenlik EABD Tezsiz Yüksek Lisans Programından Tezli Yüksek Lisans Programına Geçiş Başvuru Sonuçları
2019-2020 sonbahar dönemi için Siber Güvenlik EABD Tezsiz Yüksek Lisans Programından Tezli Yüksek Lisans Programına Geçiş Başvuruları değerlendirilmiş ve Tezli Yüksek Lisans programına geçişi uygun bulunan öğrencilerimizin isimleri aşağıda belirtilmiştir.
DENİZ DEMİRCİ
AYSEL EZGİ TANRIKULU
BULUT ULUKAPİ
Announcement Category
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