We are proud to announce the latest publication from our lab in the prestigious journal Electronics:
“Revealing Occult Malignancies in Mammograms Through GAN-Driven Breast Density Transformation”
Authored by Dionysios Anyfantis, PhD student at the SIPPRE Lab, in collaboration with our team, this work explores the application of CycleGANs to transform mammograms of dense breast tissue into lower-density representations. By doing so, the study significantly improves the detection of hidden abnormalities, contributing to the advancement of breast cancer diagnostics.
This innovative research highlights the intersection of deep learning and medical imaging, showcasing how AI can revolutionize healthcare and assist radiologists in making more accurate diagnoses.
Congratulations to Dionysios Anyfantis for this outstanding achievement and his continued contributions to medical imaging and AI research. We look forward to seeing more groundbreaking work from him in the future!
We are excited to announce the publication of the new undergraduate textbook:
“Audio, Speech, and Music Processing and Analysis”
Authored by Prof. Athanasios Koutras, along with co-authors Chrisoula Alexandraki, Thomas Zarouchas, Panagiotis Zervas, and Panagiotis Chatziantoniou, this book provides a comprehensive exploration of signal processing techniques as they apply to audio, speech, and music.
Written in Greek and published by Kallipos, Open Academic Editions, the textbook is an invaluable resource for students and professionals, covering topics such as:
Audio Signal Processing: Fundamentals of digital sound, psychoacoustics, and room acoustics.
Speech Processing: Speech recognition, speaker identification, and text-to-speech synthesis.
Music Processing: Music Information Retrieval (MIR) and algorithmic problems in music analysis.
Lab Exercises: Practical projects to apply the concepts covered in the book.
With a focus on both theoretical concepts and practical applications, the book spans 304 pages and features detailed discussions on digital sound effects, audio descriptors, speech synthesis, and music analysis.
We congratulate Prof. Koutras and his collaborators on this remarkable contribution to the academic community. The book is freely available through the Kallipos repository, and we encourage everyone interested in these fields to explore this excellent resource.
For more information and access to the book, visit here.
We are proud to announce that Dionysios Anyfantis, PhD student and esteemed member of the SIPPRE Lab, has co-authored a significant research paper titled:
“Breast Density Transformations Using CycleGANs for Revealing Undetected Findings in Mammograms”
Published in the journal Signals (2023, Volume 4, Pages 421–438), this work introduces a novel method utilizing CycleGANs to enhance breast cancer detection by transforming dense breast tissue in mammograms to lower-density representations. This approach significantly improves the diagnostic accuracy of computer-aided systems, aiding radiologists in identifying previously masked abnormalities.
This achievement highlights the cutting-edge research happening at the SIPPRE Lab and the contributions of our dedicated members to advancing medical imaging and deep learning technologies.
Congratulations to Dionysios and the co-authors on this remarkable accomplishment! We look forward to seeing more groundbreaking work from him and the team.
For more details, you can access the full paper here.
We are delighted to announce the publication of the Greek translation of the highly regarded book:
“Forecasting: Principles and Practice”
Originally authored by George Athanasopoulos and Rob J. Hyndman, this translation is based on the third English edition.
The translation and scientific editing were expertly handled by Prof. Athanasios Koutras of the University of Peloponnese and Prof. Ioannis A. Nikas of the University of Patras.
This comprehensive book serves as an essential resource for understanding forecasting methodologies, with practical applications spanning various fields such as energy production, staffing, inventory management, and telecommunications. Key features include:
An accessible introduction to forecasting principles and methods.
Practical examples implemented in R, showcasing real-world applications derived from the authors’ consultancy experience.
Detailed explanations and hands-on exercises suitable for students, professionals, and researchers.
Details:
Language: Greek
ISBN: 978-960-530-183-5
Pages: 438
Dimensions: 17 cm x 24 cm
Year of Publication: 2022
This book is available through the Evdoxos platform, making it an excellent resource for academic courses and professional development.
Congratulations to Prof. Koutras and Prof. Nikas for their exceptional contribution to bringing this invaluable work to the Greek-speaking academic and professional community.
Special Issue "Artificial Intelligence in Screening Mammography: Recent Advances and tools in cancer detection and diagnosis"
We are pleased to announce that the Special Issue “Artificial Intelligence in Screening Mammography: Recent Advances and tools in cancer detection and diagnosis” is open for submissions in Journal Applied Sciences MDPI. The deadline for submissions is the 20th of July 2022.
Guest Editors are the Group members: Dr. Athanasios Koutras, Dr. Ioanna Christoyianni, Dr. George Apostolopoulos and Dr. Evangelos Dermatas
Your submissions are welcome! If you are interested to contribute your work, feel free to contact any of the editors.