Friedrich-Alexander-Universität Erlangen
Lehrstuhl für Mustererkennung
Martensstraße 3
91058 Erlangen
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, 16:00 - 18:00; Room: 09.150-133
Segmenting and classifying the tumor lesions in breast through Dynamic Contrast-Enhanced MR Images
Advancing the State-of-the-Art through Integration of Medical Knowledge
| Date | Responsible Person | Title | |
|---|---|---|---|
| 14.01.2019 | Akriti Sharma | Master's thesis final talk: Finding de novo motifs in DNA sequences by deep learning | |
| 04.02.2019 | Daniel Zimmermann | Master's thesis final talk: Multi-task Learning for Segmentation and Classification of Lesions in Mammography Images | |
| 25.02.2019 | Jan Lukas | Journal Club: Clustering to forecast sparse time-series data ECG Signals Using Deep Neural Networks | |
| 11.03.2019 | Oliver Haas | Journal Club: Detecting Potential Adverse Drug Reactions Using a Deep NeuralNetwork Model (Room 00.151-113) | |
| 06.05.2019 | Sulaiman Vesal | Journal 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 | |
| 20.05.2019 | Chang Liu | MT- Intro Talk: Automatic Breast Segmentation for Individualized Diagnostics | |
| 03.06.2019 | Dalia Rodriguez | Journal club: The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks (ICLR 2019) | |
| 24.06.2019 | No Colloq | Due to Dominik's PhD defense | |
| 01.07.2019 | Nidhi Joshi Sarkar Johar Adarsh Bhandary | MT- Intro Talk: Automatic Sleep Stage Scoring from Multi-channel EEG data using Deep Learning MT- Intro Talk: Abnormality detection on musculoskeletal radiographs MT- Final Talk: Classification of Lung Nodules in CT Images using Deep Learning | |
| 08.07.2019 | Felix Denzinger | Journal Club: Diagnostic accuracy of 3D deep-learning-based fully automated estimation of patient-level minimum fractional flow reserve from coronary computed tomography angiography [EHJ 2019] | |
| 15.07.2019 | Chang Liu | Master's thesis final talk: Automatic breast segmentation for individualized diagnostics | |
| 22.07.2019 | Syben's student | MT Intro Talk: Detecting the yet undetected: A deep learning based approach to classify radial bone in systemic inflammatory diseases measured by HR-pQCT imaging | |
| 12.08.2019 | Ahmed Jalil Faezeh Nejati Hatamian | MT Final Talk: Deep Learning-based System for Classification of Chronic Obstructive Pulmonary Disease in Computer Tomography Images MT Intro Talk: Atrial Fibrillation Classification from Short Single-Lead ECG Signals Using Deep Neural Networks | |
| 09.09.2019 | Sebastian Guendel | Journal Club: Multi-task Learning for Chest X-ray Abnormality Classification | |
| 16.09.2019 | Apritha Ravi Kamal Gopikrishnan | MT Intro Talk: Classification of Medical Devices in X-ray Images Using Deep Learning MT Final Talk: Application of Neuroscience Analysis Techniques in Deep Reinforcement Learning Networks | |
| 23.09.2019 | Natalia Pryakhina | MT Intro Talk: Development of a machine learning algorithm for generating realistic synthetic electronic healthcare records | |
23.09.2019 21.10.2019 | Dominik Eckert Jingpeng Li | MT Intro Talk: DeNoising Mammograms using Convolutional Neural Networks MT Intro Talk: Automatic Detection of Free Abdominal Air in Computed Tomography Scans | |
| 04.11.2019 | Florian Kordon | Journal club: "ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation" (CVPR 2019) | |
| 12.11.2019 | Lea Pflüger Faezeh Nejati Hatamian
| MT Final Talk: Prediction of MRI coil failures based on image features using time series classification MT Final Talk: Atrial Fibrillation Classification from Short Single-Lead ECG Signals Using Deep Neural Networks | |
| 18.11.2019 | Sarkar Johar Felix Meister | MT FInal Talk: Abnormality detection on musculoskeletal radiographs Journal club: "Neural Ordinary Differential Equations" (NIPS 2018) | |
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