61 citations · 334 across the 42 of their papers we have counts for
6 papers · 1 filter
Learning the Imaging Model of Speed-of-Sound Reconstruction via a Convolutional Formulation
Can Deniz Bezek, Maxim Haas, Richard Rau +1
Speed-of-sound (SoS) is an emerging ultrasound contrast modality, where pulse-echo techniques using conventional transducers offer multiple benefits. For estimating tissue SoS dist…
Robust Imaging of Speed-of-Sound Using Virtual Source Transmission
Dieter Schweizer, Richard Rau, Can Deniz Bezek +2
Speed-of-sound (SoS) is a novel imaging biomarker for assessing biomechanical characteristics of soft tissues. SoS imaging in pulse-echo mode using conventional ultrasound systems…
Unpaired Translation from Semantic Label Maps to Images by Leveraging Domain-Specific Simulations
Lin Zhang, Tiziano Portenier, Orcun Goksel
Photorealistic image generation from simulated label maps are necessitated in several contexts, such as for medical training in virtual reality. With conventional deep learning met…
Generative appearance replay for continual unsupervised domain adaptation
Boqi Chen, Kevin Thandiackal, Pushpak Pati +1
Deep learning models can achieve high accuracy when trained on large amounts of labeled data. However, real-world scenarios often involve several challenges: Training data may beco…
Multi-scale Feature Alignment for Continual Learning of Unlabeled Domains
Kevin Thandiackal, Luigi Piccinelli, Pushpak Pati +1
Methods for unsupervised domain adaptation (UDA) help to improve the performance of deep neural networks on unseen domains without any labeled data. Especially in medical disciplin…
Weakly Supervised Joint Whole-Slide Segmentation and Classification in Prostate Cancer
Pushpak Pati, Guillaume Jaume, Zeineb Ayadi +4
The segmentation and automatic identification of histological regions of diagnostic interest offer a valuable aid to pathologists. However, segmentation methods are hampered by the…