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Sulaiman Vesal M. Sc.

Researcher in the Learning Approaches for Medical Big Data Analysis (LAMBDA) group at the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg

Thesis

2 Running
Master Theses
Pfeufer, Dana:
Automated Volume of Interest Reconstruction in dedicated Spiral Breast CT
Advisor: Huang, Yixing; Maier, Andreas; Vesal, Sulaiman; Dr. Christian Steiding (AB-CT Erlangen)
Beginn: 18.11.2019

Eckert, Dominik:
DeNoising Mammograms using Convolutional Neural Networks
Advisor: Maier, Andreas; Vesal, Sulaiman; Dr. Ludwig Ritschl (Siemens Healthineers)
Beginn: 20.09.2019

4 Finished
Master Theses
Kaiser, Nico:
Classification of Breast Density in Mammograms Using Deep Machine Learning
Advisor: Haderlein, Tino; Maier, Andreas; Ravikumar, Nishant; Vesal, Sulaiman; Dr.-Ing Andreas Fieselmann (Siemens Healthineers)
Beginn: 14.05.2018

Steg, Alexander:
Deep Generative Networks for Medical Imaging
Advisor: Christlein, Vincent; Haderlein, Tino; Maier, Andreas; Vesal, Sulaiman; Dr. rer. nat. Olivier Pauly (Siemens Healthcare GmbH)
Beginn: 01.12.2016

Ahmed, Jalil:
Deep Learning-based System for Classification of Chronic Obstructive Pulmonary Disease in Computed Tomography Images
Advisor: Haderlein, Tino; Maier, Andreas; Ravikumar, Nishant; Vesal, Sulaiman; Felix Durlak M. Sc. (Siemens Healthineers); Rainer Kaergel M. Sc. (Siemens Healthineers)
Beginn: 16.01.2019

Roohian, Maryam:
Tumor Detection & Classification in Breast Cancer Histology Images using Deep Neural Networks
Advisor: Haderlein, Tino; Maier, Andreas; Ravikumar, Nishant; Vesal, Sulaiman
Beginn: 01.07.2019