Forschungsseminar Künstliche Intelligenz (FSKI)

The research seminar is the weekly meeting at which members of the group present their ongoing work. It is an in-person seminar, held every Friday of the lecture period except on public holidays, 11:00–12:30, in the large seminar room (“Transformer”) at IKIM; every semester opens with the topic selection. Jan Egger and colleagues convene it. Students enrol through the UDE course catalogue (LSF), where the seminar is listed as Forschungsseminar Kuenstliche Intelligenz.

The session lists run newest semester first.

Summer semester 2026

Course catalogue entry (LSF)

  • 17 Apr 2026 — topic selection
  • 24 Apr 2026 — Kevin Kopp: The Effect of Antibiotic Escalation in Critically-Ill Hematologic and Oncologic Patients: A Target Trial Emulation Using Electronic Health Records Data
  • 1 May 2026 — 1. Mai (public holiday)
  • 8 May 2026 — Tim Lenfers: “Retiring the Highlighter:” Automating Feature Extraction with LLMs
  • 15 May 2026 — Hamza Kalisch: Region-Normalized DPO for Medical Image Segmentation
  • 22 May 2026 — Jana Fragemann: Towards automated pulmonary embolism detection
  • 29 May 2026 — Marius Schlegel: From Simulation to Reality: Autonomous Ultrasound-Guided Interventions
  • 5 Jun 2026 — Muhammad Rehman: PET-Guided CT Lesion Segmentation for Prostate Cancer
  • 12 Jun 2026 — Gijs Luijten: Gaussian Splats and a bit of 3D scanning
  • 19 Jun 2026 — Hannah Timm: Vessel branching patterns quantified by artificial intelligence as a novel prognostic biomarker in advanced renal cell carcinoma
  • 26 Jun 2026 — Matthias Hoffjan: IKIM’s AI Agent
  • 3 Jul 2026 — Sameh Khattab: Rethinking LLM Adaptation for Biomedical Retrievers via Synthetic Data and Model Merging; Osman Koras: Configurable Clinical Information Extraction
  • 10 Jul 2026 — Dennis Hermelyn: Neural Operator-Based Prediction of Proton Pencil Beam Dose Distributions
  • 17 Jul 2026 — Niklas Schwarz: SVRMamba: Rigid Slice-to-Volume Registration using Efficient Mamba Fusion
  • 24 Jul 2026 — Ana Sofia Santos: Digital Humans for Effective Medical Education: Can AI Virtual Patients Help Train Better Doctors?

Winter semester 2025/26

Course catalogue entry (LSF)

  • 17 Oct 2025 — topic selection
  • 24 Oct 2025 — Sameh Khattab: AI Augmented Annotation
  • 31 Oct 2025Benja Vahldiek: AI in Ophthalmology: Smarter OCT Analysis for Macular Diseases
  • 7 Nov 2025 — cancelled
  • 14 Nov 2025 — Kevin Kopp: Causal Inferences Antibiotics
  • 21 Nov 2025 — Tim Lenfers: DVC: Building a reproducible data registry
  • 28 Nov 2025 — Ana Sofia Santos: Digital Human
  • 5 Dec 2025 — Lisle Faray de Paiva: Medical Imaging 3D Reconstruction
  • 12 Dec 2025 — Frederic Jonske: ASaRG
  • 19 Dec 2025 — Muhammad Rehman: Foundation Models for Few-Shot Microscopy Image Cell Segmentation
  • 26 Dec 2025 — Weihnachtsferien (Christmas break)
  • 2 Jan 2026 — Weihnachtsferien (Christmas break)
  • 9 Jan 2026 — Helmut Becker: WSI-FeatureMetrics: Analyzing Spatial Relationships in NSCLC
  • 16 Jan 2026 — Dennis Hermelyn: Neural Operator-Based Prediction of Proton Beam Dose Distributions
  • 23 Jan 2026 — cancelled
  • 30 Jan 2026 — Moritz Rempe: MRI Raw Data Reimagined - Complex-Valued Deep Learning for Direct k-Space Processing and Applications
  • 6 Feb 2026 — Matthias Hoffjan: Bringing AI models into clinical pathology practice

Summer semester 2025

Course catalogue entry (LSF)

  • 11 Apr 2025 — topic selection
  • 18 Apr 2025 — Karfreitag (public holiday)
  • 25 Apr 2025 — Hannah Timm: Master Thesis
  • 2 May 2025 — Roberto Scardigno: Kidney segmentation and automatic volumetric measurements
  • 9 May 2025 — Gijs Luijten: HITNS & AVP Paper
  • 16 May 2025 — Hamza Kalisch: CT report generation; Tim Lenfers: cohortSHIPyard
  • 23 May 2025 — Lisle Faray de Paiva: Segmentation in XR
  • 30 May 2025 — Amin Dada: Patient-Oriented Question-Answer Generation from Discharge Letters
  • 6 Jun 2025 — Moritz Rempe: PhaseGen
  • 13 Jun 2025 — Negar Shahamiri: Incidental Breast Lesion Segmentation in CT Imaging and Clinical Deployment
  • 20 Jun 2025 — Helmut Becker: Survival Time Prediction in NSCLC using WSI Features
  • 27 Jun 2025 — Frederic Jonske: postponed
  • 4 Jul 2025 — Alexander Brehmer: On Effective Multi-Class Skin Lesion Classification and Skin-Tone Bias Quantification
  • 11 Jul 2025 — Jana Fragemann: Hessian Regularization
  • 18 Jul 2025 — Sameh Khattab: postponed

Winter semester 2024/25

  • 11 Oct 2024 — topic selection
  • 18 Oct 2024 — Gijs Luijten: Overview of his research projects
  • 25 Oct 2024 — Presentations of PhD research topics and outlines (Siegburg)
  • 1 Nov 2024 — Allerheiligen (public holiday)
  • 8 Nov 2024 — Jafar Hamad: Haptic feedback and augmented reality
  • 15 Nov 2024 — Helmut Becker: Multimodal Medical Machine Learning
  • 22 Nov 2024 — Alexander Brehmer: A short history of self supervised learning for image classification
  • 29 Nov 2024 — Lukas Heine: Spacewalker
  • 6 Dec 2024 — Moritz Rempe: Complex Valued Neural Networks
  • 13 Dec 2024 — Fabian Hörst: CellViT++
  • 20 Dec 2024 — Sameh Khattab: Integrating AI Pipelines in clinical practice
  • 27 Dec 2024 — Weihnachtsferien (Christmas break)
  • 3 Jan 2025 — Weihnachtsferien (Christmas break)
  • 10 Jan 2025 — Amin Dada: Improving Medical Visual Instruction Tuning with Labeled Datasets
  • 17 Jan 2025 — Negar Shahamiri: Implementation of Workflow-based Architecture for AI Applications in Clinic
  • 24 Jan 2025 — Tim Lenfers: Code, Cells, and Cancer Analysis: The Adventures of a Data Scientist
  • 31 Jan 2025 — Frederic Jonske: RadNet II

Summer semester 2024

  • 12 Apr 2024 — topic selection
  • 19 Apr 2024 — Lukas Heine: AMD & OCT
  • 26 Apr 2024 — Fabian Hörst: Digital Pathology: An Image-Based Approach
  • 3 May 2024 — Helmut Becker: Multimodality in Machine Learning for Melanoma Patients
  • 10 May 2024 — Amr Abourayya: Little is Enough: Improving Privacy through Federated Semi-Supervised Learning
  • 17 May 2024 — Moritz Rempe: Working in k-Space: chance or necessity?
  • 24 May 2024 — Jana Fragemann: Survival Analysis for Patients with advanced Prostate Cancer
  • 31 May 2024 — Frederic Jonske: LLaVA / MIRAGE
  • 7 Jun 2024 — Osman Koras: postponed
  • 14 Jun 2024 — Negar Shahamiri: AI in Medicine
  • 21 Jun 2024 — Hamza Kalisch: AutoPET III Challenge: Automated Lesion Segmentation in Whole-Body PET/CT
  • 28 Jun 2024 — Gijs Luijten: postponed
  • 5 Jul 2024 — Amin Dada: A Brief History of Clinical Large Language Models
  • 12 Jul 2024 — Sameh Khattab: Generative AI deployments in healthcare
  • 19 Jul 2024 — Alexander Brehmer: Kiadeku - A Project journey from Data to Deployment