Thesis category: BA thesis

7 to 12 of 102

10AUG 2026
News
Invited Talk – Prof. Sepp Hochreiter (Johannes Kepler University Linz, NXAI): The Next Phase of Artificial Intelligence, Monday, August 17th, 2026, 12:30 PM CEST
It’s a great pleasure to welcome Prof. Sepp Hochreiter as a speaker at our lab! Title: The Next Phase of Artificial Intelligence Date: Monday, August 17th, 2026, 12:30 PM CEST Location: Online via Zoom — https://fau.zoom-x.de/j/68935755804?pwd=fw92lRAAA7PG1jL8hNCTqotiBE6ixB.1 Abstract: Artificial Intelligence is entering its third phase. The first phase was driven by basic research; the second by […]It’s a great pleasure to welcome Prof. Sepp Hochreiter as a speaker at our lab! Title: The Next Phase of Artificial Intelligence Date: Monday, August 17th, 2026, 12:30 PM CEST Location: Online via Zoom — https://fau.zoom-x.de/j/68935755804?pwd=fw92lRAAA7PG1jL8hNCTqotiBE6ixB.1 Abstract: Artificial Intelligence is entering its third phase. The first phase was driven by basic research; the second by […]
Read more about Invited Talk – Prof. Sepp Hochreiter (Johannes Kepler University Linz, NXAI): The Next Phase of Artificial Intelligence, Monday, August 17th, 2026, 12:30 PM CEST
14JUL 2026
Ph.D. Gallery
Sheethal Bhat
Improving Clinical Usability of Deep Learning for Radiographic Diagnosis: Learning under Constraints of Specificity, Data, and Annotation Computer-Aided Diagnostic (CAD) systems play a central role in medical imaging, especially in radiographic research. This thesis tackles three challenges that limit how usable these systems are in real clinical settings: improving sensitivity at the high specificity thresholds […]Improving Clinical Usability of Deep Learning for Radiographic Diagnosis: Learning under Constraints of Specificity, Data, and Annotation Computer-Aided Diagnostic (CAD) systems play a central role in medical imaging, especially in radiographic research. This thesis tackles three challenges that limit how usable these systems are in real clinical settings: improving sensitivity at the high specificity thresholds […]
Read more about Sheethal Bhat
26JUN 2026
News
PhD Research on AI-Based Glacier Monitoring Featured by IEEE Spectrum
Research from the Pattern Recognition Lab has been featured by IEEE Spectrum, showcasing a new AI-driven approach for large-scale monitoring of glacier change from satellite imagery. Accurate tracking of glacier calving fronts is essential for quantifying ice loss and improving projections of sea level rise. However, traditional monitoring relies on manual delineation in satellite images, […]
Read more about PhD Research on AI-Based Glacier Monitoring Featured by IEEE Spectrum
22JUN 2026
Ph.D. Gallery
Luis Carlos Rivera Monroy
Interconnected Pathology: A Graph-Based Framework for Analyzing Multimodal Histopathology Samples Diagnosing cancer from tissue samples still relies on pathologists visually inspecting stained slides under time and workload pressure, interpreting complex patterns of cell shape, spatial arrangement, and staining. Most computational approaches process these images as independent small patches, missing the long-range spatial structure, mixed cell […]Interconnected Pathology: A Graph-Based Framework for Analyzing Multimodal Histopathology Samples Diagnosing cancer from tissue samples still relies on pathologists visually inspecting stained slides under time and workload pressure, interpreting complex patterns of cell shape, spatial arrangement, and staining. Most computational approaches process these images as independent small patches, missing the long-range spatial structure, mixed cell […]
Read more about Luis Carlos Rivera Monroy
20MAY 2026
News
New PhD student: Maeen Alikarrar
Hello Everyone, My name is Maeen Alikarrar, and I received a Master’s degree in Artificial Intelligence from FAU. I have now started my Ph.D. under the supervision of Prof. Dr.-Ing. habil. Andreas Maier in collaboration with Siemens Healthineers. My research focuses on foundational models for NeuroCT, exploring advanced AI approaches for medical imaging.
Read more about New PhD student: Maeen Alikarrar
20MAY 2026
Ph.D. Gallery
Maximilian Rohleder
Metal Artifact Avoidance Cone-beam CT on mobile C-arm systems lets surgeons see in 3D during procedures, which is especially valuable in orthopedic and trauma surgery. But metallic implants cause severe image artifacts that obscure exactly the anatomical structures surgeons need to see, undermining surgical decisions. Post-processing techniques to reduce these artifacts exist, but they struggle […]Metal Artifact Avoidance Cone-beam CT on mobile C-arm systems lets surgeons see in 3D during procedures, which is especially valuable in orthopedic and trauma surgery. But metallic implants cause severe image artifacts that obscure exactly the anatomical structures surgeons need to see, undermining surgical decisions. Post-processing techniques to reduce these artifacts exist, but they struggle […]
Read more about Maximilian Rohleder