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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

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


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: Hierarchical Convolutional Neural Networks for Segmentation of Breast Tumors in MRI with Application to Radiogenomics (TMI 2018)
17.12.2018Adarsh BhandaryMaster's thesis intro talk: Lung Nodule Classification in CT Images using Deep Learning
Leo SchwinnStudnet's talk: Impact of pathologies on Age estimation
14.01.2019Akriti SharmaMaster's thesis final talk: Finding de novo motifs in DNA sequences by deep learning
04.02.2019Daniel ZimmermannMaster's thesis final talk: Multi-task Learning for Segmentation and Classification of Lesions in Mammography Images
25.02.2019Jan Lukas

Journal Club: Clustering to forecast sparse time-series data

11.03.2019Oliver Haas

Journal Club: Detecting Potential Adverse Drug Reactions Using a Deep NeuralNetwork Model (Room 00.151-113)

06.05.2019Sulaiman VesalJournal Club: Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation
13.05.2019

Karthik Shetty

Kamal Gopikrishnan Nambiar

MT- Final Talk: Image-based heart phase estimation in coronary angiography

MT- Intro Talk: Application of Neuroscience Analysis Techniques in Deep Reinforcement Learning Networks

20.05.2019Chang LiuMT- Intro Talk: Automatic Breast Segmentation for Individualized Diagnostics
03.06.2019Dalia RodriguezJournal club: The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks (ICLR 2019)

 

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