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Techn. Fakultät Willkommen am Institut für Informatik FAU-Logo

Learning Algorithms for Medical Big Data Analysis

The big data analytics group is concerned with combining multi-modal imaging and clinical data for improved clinical decision making. Current topics of interest include identification of a malignant tumor sub-types in breast cancer, establishing correlations between image-based features, gene expression and disease progression in patients, and developing innovative therapeutic approaches such as immune cell guidance and response activation.  

Dates & Rooms:
Monday, 14:00 - 16:00; Room: 00.152-113

Colloquium Time Table
    Date                 
Responsible    Person  
Title
10.7.2017  Tobias PertlwieserStudent's Intro Talk: Generative Adversarial Models for Outlier Detection
17.7.2017Dalia RodríguezMappin Decisions Tree to CNN
24.7.2017-No Colloquium due to PRS
31.7.2017

Stefan Freitag

Sulaiman Vesal

Student's Final Talk: Improving the Absolute Accuracy of a Robotic C-Arm System with Machine Learning Techniques
Overview: Co-registration of breast lesions in CT and MRI
07.8.2017

Jonas Denck

Katrin 

Student's Final Talk: Automatic Billing Code Retrieval from MR-Log Data

Overview: Stroke Detection on NCCT

14.8.2017

Markus Schmidt

Rimon Saffoury

Student's Final Talk:

Student's Intro Talk: Automatic Malignancy Estimation for Pulmonary Nodules from CT Images

21.8.2017Sebastian GündelOverview: Chest X-ray Analysis
28.8.2017N/ANo colloquium.
04.9.2017Dalia RodríguezPaper Review: Decision Forests, Convolutional Networks and the Models In-Between
11.9.2017Nora SteinichStudent's Intro Talk: Denoising of low-dose CT images by learning a sparse representation using a convolutional neural network
18.9.2017TBDNo colloquium

 

25.9.2017

 

Various

 

Student's Intro Talk: Automatic Deep Learning Lung Lesion Characterization with Combined Application of State-of-the-Art and Image Augmentation Techniques

Slide Sessions

02.10.2017Sulaiman VesalPaper Review: Opens external link in new windowDeep Reinforcement Learning for Active Breast Lesion Detection from DCE-MRI
09.10.2017Tobias PertlwieserStudent's Final Talk: Generative Adversarial Models for Outlier Detection
16.10.2017
Ashwinkumar
Student's Final Talk: Implementation and Evaluation of Deep Learning Algorithms for Depth Estimation
23.10.2017

Riom Saffoury

Malte Müller

Student's Final Talk: Automatic Malignancy Estimation for Pulmonary Nodules from CT Images

Student's Intro Talk: An Investigation of Parameter Reduction Techniques for Deep Segmentation Networks

30.10.2017Patrick KraussPostponed
06.11.2017Deniz NeufeldStudent's Intro Talk: Generative Networks for Verification of Image Processing Operators in Computed Tomography
13.11.2017No Colloq
20.11.2017
Florin Ghesu
Robust Multi-Scale Anatomical Landmark Detection in Incomplete 3D-CT Data
27.11.2017TBD
04.12.2017

Patrik Krauss

Kai Ehrensperger

 

Could a neuroscientist understand the brain?
Student's Intro Talk: Deep Learning-based Noise Reduction for Hearing Instrument Applications
11.12.2017Ling Liu
Student's Intro Talk: Deep Learning for Streak Reduction in Computed Tomography
18.12.2017

Segmentation Group

Nora

*14:15 until 15:15 reserved for a student final talk by segmentation group.

Student's Final Talk: Denoising of low-dose CT images by learning a sparse representation using a convolutional neural network (Bachelor's Thesis)

15.01.2018GündischStudent's Intro Talk: Anomaly Detection of Data Quantity in Azure Machine Learning Studio (Bachelor Thesis)
22.01.2018No Colloq
29.01.2018Julia GawellekA Multi-Channel Regression and Classification Approach for Hepatocellular Carcinoma Data
05.02.2018No Colloq
12.02.2018Felix HorgerStudent's Final Talk: Deep Learning for Random Number Generation (Bachelor Thesis)
19.02.2018No Colloq
26.02.2018

Lisa Kratzke

 

Nicolas von Rhoden

Student's Final Talk: Automatic Deep Learning Lung Lesion Characterization with Combined Application of State-of-the-Art Transfer Learning and Image Augmentation Techniques (Master Thesis)

Student's Intro Talk: Prostate Lesion Detection using Multi-Parametric Magnetic Resonance Imaging (Master Thesis)
05.03.2018No ColloqTime slot reserved for BVM rehearsal by Xia.  
12.03.2018No ColloqBVM 2018
19.03.2018

Malte Müller

Student's Final Talk: An Investigation of Parameter Reduction Techniques for Deep Segmentation Networks (Master Thesis)

26.03.2018

Ling Liu,

Kai Ehrensperger

Student's Final Talk: Deep Learning for Streak Reduction in Computed Tomography

Student's Final Talk: Deep Learning-based Noise Reduction for Hearing Instrument Applications

02.04.2018No ColloqEaster Holidays
09.04.2018

Deniz Neufeld

Daniel Toth

Student's Final Talk: Generative Networks for Verification of Image Processing Operators in CT

Guest's Talk: AI-based cardiac registration

23.04.2018No Talk
30.04.2018
Bhavya Jain
Student's Intro Talk: Evaluation of Image Features Related with MRI Hardware Failures
07.05.2018No Talk
14.05.2018

Ehsan Safari

Nico Kaiser

Student's Final Talk: Design and Development of a Voice Assistant for Interventional CT Scanners

Student's Intro Talk: Classification of breast density in mammograms using deep machine learning

28.05.2018No Colloq
11.06.2018Philipp GuendischAnomaly Detection of Data Quantity
18.06.2018Cosmin Bercea'Student's Intro Talk: Memory Networks for Medical Image Analysis
25.06.2018

Felix Meister

Sebastian Guendel

Student's Final Talk: Development of a Fast Biomechanical Cardiac Model for the Treatment Planning of Dilated Cardiomyopathy 

Multi-Abnormality Classification in Chest X-ray

09.07.2018TBDTBD
16.07.2018

Felix Denzinger

Student's Intro Talk: Radiomics for Coronary Plaque Analysis from Cardiac Computed Tomography Angiography

06.08.2018Nicolas von RhodenStudent's Final Talk: Prostate Lesion Detection using Multi-Parametric Magnetic Resonance Imaging 
12.08.2018Daniel ZimmermannStudent's Intro Talk: Multi-task Learning for Segmentation and Classification of Lesions in Mammography Images
20.08.2018Cosmin Bercea'Student's Final Talk: Memory Networks for Medical Image Analysis
22.10.2018Bhavya JainStudent's Final Talk: Evaluation of Image Features Related with MRI Hardware Failures
29.10.2018Nishant RavikumarJournal club: Predicting cancer with a recurrent visual attention model for histopathology images
12.11.2018Sebastian GündelJournal club: Learning From Noisy Large-Scale Datasets With Minimal Supervision (CVPR 2017)
26.11.2018Nico KaiserMaster's thesis final talk: Classification of breast density in mammograms using deep machine learning
26.11.2018Daniel ZimmermannJournal club: Tell Me Where to Look: Guided Attention Inference Network (CVPR 2018)

03.12.2018

03.12.2018

Felix Denzinger

Jan-Lucas Deinhard

Master's thesis final talk: Radiomics for Coronary Plaque Analysis from Cardiac Computed Tomography Angiography

Master's thesis final talk: Data-Driven Sales Support

10.12.2018Sulaiman VesalJournal club: [TBD]
17.12.2018Adarsh BhandaryMaster's thesis intro talk: Lung Nodule Classification in CT Images using Deep Learning

 

Mailing list subscription management page for students and guests.

Running Projects


Breast Tumor Lesions Segmentation

Segmenting and classifying the tumor lesions in breast through Dynamic Contrast-Enhanced MR Images


Medical Image Understanding

Advancing the State-of-the-Art through Integration of Medical Knowledge