Diagnostic Medical Image Processing (DMIP) 2011/2012 (SD 640)
Prof. Dr. Joachim Hornegger
This lecture focuses on recent developments in image processing driven by medical applications. All algorithms are motivated by practical problems. The mathematical tools required to solve the considered image processing tasks will be introduced.
The lecture will be composed of the following topics:
Motivation: Introduction to Medical Image Processing Acquisition: Basic Concepts of Different Modalities Modality Dependent Image Enhancement Segmentation of Medical Images Image Sequences: Processing of Multiple Images Reconstruction in Medical Imaging Volume Processing Image Registration and Fusion Computer Aided Diagnosis
Podcasts Similar to Diagnostic Medical Image Processing (DMIP) 2011/2012 (SD 640)
Interventional Medical Image Processing (IMIP) 2011 (HD 1280 - Video & Folien) (92.72%)
Prof. Dr. Joachim Hornegger
Interventional Medical Image Processing (IMIP) 2011 (Audio) (92.72%)
Prof. Dr. Joachim Hornegger
Interventional Medical Image Processing (IMIP) 2011 (SD 640) (92.72%)
Prof. Dr. Joachim Hornegger
Interventional Medical Image Processing 2015 (HD 1280) (90.38%)
Prof. Dr. Andreas Maier
Interventional Medical Image Processing (IMIP) 2016 (SD 640) (89.71%)
Prof. Dr. Andreas Maier
Interventional Medical Image Processing (IMIP) 2016 (Audio) (89.71%)
Prof. Dr. Andreas Maier
Interventional Medical Image Processing (IMIP) 2016 (HD 1280 - Video & Folien) (89.71%)
Prof. Dr. Andreas Maier
Deep Learning 2019 (QHD 1920 - Video & Folien) (88.46%)
Prof. Dr. Andreas Maier
Deep Learning 2018 (QHD 1920 - Video & Folien) (88.46%)
Prof. Dr. Andreas Maier
Deep Learning 2018 (Audio) (88.44%)
Prof. Dr. Andreas Maier
Deep Learning 2019/2020 (QHD 1920 - Video & Folien) (87.65%)
Prof. Dr. Andreas Maier
The molpigs Podcast (87.14%)
molpigs
Talking Papers Podcast (86.07%)
Itzik Ben-Shabat
Inverse Problems Network Meeting 2 (85.7%)
Cambridge University
Deep Data Dive (85.65%)
Deep Data Dive
Current Topics in Media Computing and Human-Computer Interaction '18 (85.24%)
Prof. Jan Borchers
PositWitty (84.94%)
NIctophyle
Digital Signature Podcast (84.76%)
William Mongan
Principles of Management - BA236 (84.69%)
MHU Business Department
Colloquia from science leaders and technology innovators (84.51%)
Lakeside Labs
Practical AI: Machine Learning, Data Science (84.46%)
Changelog Media
Colloquia from science leaders and technology innovators SD (84.43%)
Lakeside Labs
The Podgrads (83.74%)
Roosevelt University Office of Student Research
Apparently invisible. Chemistry in ceramics. (83.64%)
Zschimmer & Schwarz Ceramco
Strachey 100: an Oxford Computing Pioneer (83.63%)
Oxford University
Quantum Mechanics for the Working Professional (83.62%)
Sean Downes
Recordings by Haruka Kido (83.56%)
Haruka Kido
Good Research (83.56%)
Dr. Lauren Seifert
Computational Challenges in Image Processing (83.52%)
Cambridge University
EDES 6441 UDL in Curriculum & Instruction (83.44%)
EDES 6441 LMU
The Thesis Review (83.36%)
Sean Welleck
Teach Computing (83.26%)
NCCE
Key skills assessment unit: application of number - for iBooks (83.24%)
The Open University
PeopleMaps How To Series (83.22%)
Peoplemaps
Theory of Computation - Fall 2011 (83.2%)
Dan Gusfield
Me and My AI (83.16%)
Dave Plus
Machine Learning Street Talk (MLST) (83.12%)
Machine Learning Street Talk
Segfault with Soham Sankaran (83.07%)
Honesty Is Best
Executive Function (83.04%)
winnie
insideQuantum (83.03%)
insideQuantum
Science with Samantha (82.94%)
Samantha
SynTrack (82.9%)
igem_iisertirupati
HCI 2011 (82.88%)
BCS, The Chartered Institute for IT
Distributed Data Management (ST 2021) - tele-TASK (82.86%)
Dr. Thorsten Papenbrock
Dignity Expert (82.8%)
Dignity Expert
sociometry (82.76%)
Syama balachandran
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) (82.74%)
Sam Charrington
Computer Science (82.63%)
Oxford University
COMP2300 Computer Organisation and Program Execution (82.48%)
Charles Martin
CS Bytes (82.45%)
rohitvvv
Concrete Causation (82.42%)
Roland Pöllinger
Data Science at Home (82.35%)
Francesco Gadaleta
Design Discussion Show (82.31%)
Supratim
Würth Elektronik Watts Up Podcast (82.1%)
WE Team
Upskill with Kanth (82.09%)
BEPEC
Data Science (82.05%)
edureka!
Geospatial Concepts (82.05%)
mapscaping.com
STEM Time with Navya and Aishwarya (81.98%)
Navya Ramakrishnan
[Audio] Device Characterization with the Keithley 4200-SCS (81.98%)
Lee Stauffer
Simpleweb: Podcasts on network management (81.96%)
The Simpleweb - sponsored by EMANICS
Earth Observation (81.95%)
mapscaping.com
Immersive Chemistry Podcast (81.93%)
Tim Gallagher
Linda Smith's show (81.92%)
Linda Smith
Novel Computational Paradigms (81.87%)
Cambridge University
cryo2go (81.76%)
Benjamin Himes
Applications of Technology (81.76%)
EilersS6885
Teacher Lovely Faithful (81.73%)
Faitful Pena
Brain Inspired (81.69%)
Paul Middlebrooks
Distributed Data Analytics (WT 2017/18) - tele-TASK (81.65%)
Dr. Thorsten Papenbrock
Distributed Data Management (WT 2018/19) - tele-TASK (81.63%)
Prof. Dr. Felix Naumann, Dr. Thorsten Papenbrock
The Haskell Interlude (81.62%)
Haskell Podcast
Linear Digressions (81.61%)
Ben Jaffe and Katie Malone
The Last Theory (81.58%)
Mark Jeffery
MicroTalks (81.57%)
Gene Munson
The Analytical Wavelength (81.55%)
ACD/Labs
Q&AI (81.52%)
KUIS AI Center
Ringvorlesung - Database Research (WT 2021/22) - tele-TASK (81.51%)
various lecturers
Hamilton Institute Seminars (HD / large) (81.49%)
Hamilton Institute
ASC Workshop Series (81.48%)
Joachim Siegert
Distributed Data Management (WT 2019/20) - tele-TASK (81.47%)
Dr. Thorsten Papenbrock
Soft Matter Materials - Mathematical Design Innovations (81.47%)
Cambridge University
The Pharmabank Podcast (81.47%)
Padmaja Sreerangam
Numenta On Intelligence (81.46%)
Numenta
Publications on self-organizing networked systems (81.45%)
Lakeside Labs
C++ Club (81.44%)
Gleb Dolgich
CMU School of Computer Science Events (81.43%)
None
Drexel CoAS talks mp3 podcast (81.41%)
Jean-Claude Bradley
Informatics Overload (81.41%)
Matthew Cumming
The AutoML Podcast (81.33%)
AutoML Media
Papers Read on AI (81.33%)
Rob
Live From The Lab (81.31%)
FBi Radio
Convergent Science Network Podcast (81.31%)
Convergent Science Network: by Prof. Paul Verschure
Hamilton Institute Seminars (iPod / small) (81.27%)
Hamilton Institute
Stanford MLSys Seminar (81.25%)
Dan Fu, Karan Goel, Fiodar Kazhamakia, Piero Molino, Matei Zaharia, Chris Ré
Super Fast Processing (81.16%)
superfastprocess
No Bias (81.15%)
No Bias
BioTranscend- Beyond Human limits (81.12%)
Marc Aries
AI Alignment Fundamentals (81.1%)
Lukas
The New Quantum Era (81.08%)
Sebastian Hassinger & Kevin Rowney
NLP Highlights (81.08%)
Allen Institute for Artificial Intelligence