You are currently viewing a new version of our website. To view the old version click .

Journal of Imaging, Volume 9, Issue 6

June 2023 - 19 articles

Cover Story: Similar to classical watermarking techniques for multimedia content, DNN watermarking should satisfy high robustness against attacks such as fine-tuning, pruning neurons, and overwriting. In this study, we extended the method, encoded by a constant weight code, such that the model can be applied to any convolution layer of the DNN model, and designed a watermark detector based on a statistical analysis of the extracted weight parameters to evaluate whether the model is watermarked. The figure displays the statistical distribution of weight parameters in three typical CNN models trained using the ImageNet dataset. According to the characteristics of these distributions, some parameters for embedding a watermark can be determined to consider the trade-off among robustness, transparency, and capacity. View this paper
  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
  • You may sign up for email alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.

Articles (19)

  • Article
  • Open Access
4 Citations
4,592 Views
23 Pages

Predicting the Tumour Response to Radiation by Modelling the Five Rs of Radiotherapy Using PET Images

  • Rihab Hami,
  • Sena Apeke,
  • Pascal Redou,
  • Laurent Gaubert,
  • Ludwig J. Dubois,
  • Philippe Lambin,
  • Dimitris Visvikis and
  • Nicolas Boussion

Despite the intensive use of radiotherapy in clinical practice, its effectiveness depends on several factors. Several studies showed that the tumour response to radiation differs from one patient to another. The non-uniform response of the tumour is...

  • Article
  • Open Access
6 Citations
4,769 Views
12 Pages

Segmentation of 4D Flow MRI: Comparison between 3D Deep Learning and Velocity-Based Level Sets

  • Armando Barrera-Naranjo,
  • Diana M. Marin-Castrillon,
  • Thomas Decourselle,
  • Siyu Lin,
  • Sarah Leclerc,
  • Marie-Catherine Morgant,
  • Chloé Bernard,
  • Shirley De Oliveira,
  • Arnaud Boucher and
  • Benoit Presles
  • + 3 authors

A thoracic aortic aneurysm is an abnormal dilatation of the aorta that can progress and lead to rupture. The decision to conduct surgery is made by considering the maximum diameter, but it is now well known that this metric alone is not completely re...

  • Article
  • Open Access
45 Citations
16,192 Views
18 Pages

A Robust Approach to Multimodal Deepfake Detection

  • Davide Salvi,
  • Honggu Liu,
  • Sara Mandelli,
  • Paolo Bestagini,
  • Wenbo Zhou,
  • Weiming Zhang and
  • Stefano Tubaro

The widespread use of deep learning techniques for creating realistic synthetic media, commonly known as deepfakes, poses a significant threat to individuals, organizations, and society. As the malicious use of these data could lead to unpleasant sit...

  • Article
  • Open Access
2 Citations
2,517 Views
13 Pages

Live Cell Light Sheet Imaging with Low- and High-Spatial-Coherence Detection Approaches Reveals Spatiotemporal Aspects of Neuronal Signaling

  • Mariana Potcoava,
  • Donatella Contini,
  • Zachary Zurawski,
  • Spencer Huynh,
  • Christopher Mann,
  • Jonathan Art and
  • Simon Alford

Light sheet microscopy in live cells requires minimal excitation intensity and resolves three-dimensional (3D) information rapidly. Lattice light sheet microscopy (LLSM) works similarly but uses a lattice configuration of Bessel beams to generate a f...

  • Article
  • Open Access
12 Citations
5,452 Views
18 Pages

A Computational Approach to Hand Pose Recognition in Early Modern Paintings

  • Valentine Bernasconi,
  • Eva Cetinić and
  • Leonardo Impett

Hands represent an important aspect of pictorial narration but have rarely been addressed as an object of study in art history and digital humanities. Although hand gestures play a significant role in conveying emotions, narratives, and cultural symb...

  • Article
  • Open Access
5 Citations
3,180 Views
13 Pages

Currently, breast cancer is the most commonly diagnosed type of cancer worldwide. Digital Breast Tomosynthesis (DBT) has been widely accepted as a stand-alone modality to replace Digital Mammography, particularly in denser breasts. However, the image...

  • Article
  • Open Access
12 Citations
3,028 Views
11 Pages

Short-Term Precision and Repeatability of Radiofrequency Echographic Multi Spectrometry (REMS) on Lumbar Spine and Proximal Femur: An In Vivo Study

  • Carmelo Messina,
  • Salvatore Gitto,
  • Roberta Colombo,
  • Stefano Fusco,
  • Giada Guagliardo,
  • Mattia Piazza,
  • Jacopo Carlo Poli,
  • Domenico Albano and
  • Luca Maria Sconfienza

To determine the short-term intra-operator precision and inter-operator repeatability of radiofrequency echographic multi-spectrometry (REMS) at the lumbar spine (LS) and proximal femur (FEM). All patients underwent an ultrasound scan of the LS and F...

  • Article
  • Open Access
7 Citations
2,814 Views
19 Pages

Deep neural network (DNN) watermarking is a potential approach for protecting the intellectual property rights of DNN models. Similar to classical watermarking techniques for multimedia content, the requirements for DNN watermarking include capacity,...

  • Article
  • Open Access
5 Citations
2,362 Views
19 Pages

Given the reference (distortion-free) image, full-reference image quality assessment (FR-IQA) algorithms seek to assess the perceptual quality of the test image. Over the years, many effective, hand-crafted FR-IQA metrics have been proposed in the li...

  • Review
  • Open Access
12 Citations
13,539 Views
34 Pages

Imaging of Gastrointestinal Tract Ailments

  • Boyang Sun,
  • Jingang Liu,
  • Silu Li,
  • Jonathan F. Lovell and
  • Yumiao Zhang

Gastrointestinal (GI) disorders comprise a diverse range of conditions that can significantly reduce the quality of life and can even be life-threatening in serious cases. The development of accurate and rapid detection approaches is of essential imp...

of 2

Get Alerted

Add your email address to receive forthcoming issues of this journal.

XFacebookLinkedIn
J. Imaging - ISSN 2313-433X