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M3Dsynth: A dataset of medical 3D images with AI-generated local
  manipulations
v1v2 (latest)

M3Dsynth: A dataset of medical 3D images with AI-generated local manipulations

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
14 September 2023
Giada Zingarini
D. Cozzolino
Riccardo Corvi
Giovanni Poggi
L. Verdoliva
    DiffMMedIm
ArXiv (abs)PDFHTML

Papers citing "M3Dsynth: A dataset of medical 3D images with AI-generated local manipulations"

6 / 6 papers shown
Title
AV-Deepfake1M++: A Large-Scale Audio-Visual Deepfake Benchmark with Real-World Perturbations
AV-Deepfake1M++: A Large-Scale Audio-Visual Deepfake Benchmark with Real-World Perturbations
Zhixi Cai
Kartik Kuckreja
Shreya Ghosh
Akanksha Chuchra
Muhammad Haris Khan
Usman Tariq
Tom Gedeon
Abhinav Dhall
201
6
0
28 Jul 2025
Multiverse Through Deepfakes: The MultiFakeVerse Dataset of Person-Centric Visual and Conceptual Manipulations
Multiverse Through Deepfakes: The MultiFakeVerse Dataset of Person-Centric Visual and Conceptual Manipulations
Parul Gupta
Shreya Ghosh
Tom Gedeon
Thanh-Toan Do
Abhinav Dhall
192
3
0
01 Jun 2025
Shifts in Doctors' Eye Movements Between Real and AI-Generated Medical Images
Shifts in Doctors' Eye Movements Between Real and AI-Generated Medical ImagesEye Tracking Research & Application (ETRA), 2025
David Wong
Bin Wang
Gorkem Durak
Marouane Tliba
M. A. Kerkouri
...
Amir Borhani
Hatice Savas
Eric Hart
Elizabeth A. Krupinski
Ulas Bagci
OODMedIm
318
1
0
21 Apr 2025
Localization of Synthetic Manipulations in Western Blot Images
Localization of Synthetic Manipulations in Western Blot ImagesInternational Workshop on Information Forensics and Security (WIFS), 2024
Anmol Manjunath
Viola Negroni
S. Mandelli
Daniel Moreira
Paolo Bestagini
135
1
0
25 Aug 2024
Detecting Multimedia Generated by Large AI Models: A Survey
Detecting Multimedia Generated by Large AI Models: A Survey
Li Lin
Neeraj Gupta
Yue Zhang
Hainan Ren
Chun-Hao Liu
Feng Ding
Xin Eric Wang
Xin Li
Luisa Verdoliva
Shu Hu
753
88
0
22 Jan 2024
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable ConvolutionsComputer Vision and Pattern Recognition (CVPR), 2016
François Chollet
MDEBDLPINN
2.5K
16,459
0
07 Oct 2016
1