323 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of California, Los AngelesUS7 papers
- Ronald Reagan UCLA Medical CenterUS2 papers
- The University of Texas at ArlingtonUS2 papers
- Aalto UniversityFI1 paper
- AGH University of KrakowPL1 paper
- Australian Regenerative Medicine InstituteAU1 paper
- Breastscreen VictoriaAU1 paper
- Brigham and Women's HospitalUS1 paper
- California NanoSystems InstituteUS1 paper
- Canon (Japan)JP1 paper
- Center for Cancer ResearchUS1 paper
- Centre for Artificial Intelligence and RoboticsIN1 paper
8 papers
Learn2Reg 2024: New Benchmark Datasets Driving Progress on New Challenges
Lasse Hansen, Wiebke Heyer, Christoph Großbröhmer +51
Medical image registration is critical for clinical applications, and fair benchmarking of different methods is essential for monitoring ongoing progress in the field. To date, the…
Digital Volumetric Biopsy Cores Improve Gleason Grading of Prostate Cancer Using Deep Learning
Ekaterina Redekop, Mara Pleasure, Zichen Wang +5
Prostate cancer (PCa) was the most frequently diagnosed cancer among American men in 2023. The histological grading of biopsies is essential for diagnosis, and various deep learnin…
Ultrasound Image Enhancement using CycleGAN and Perceptual Loss
Shreeram Athreya, Ashwath Radhachandran, Vedrana Ivezić +3
Purpose: The objective of this work is to introduce an advanced framework designed to enhance ultrasound images, especially those captured by portable hand-held devices, which ofte…
Clinically Relevant Latent Space Embedding of Cancer Histopathology Slides through Variational Autoencoder Based Image Compression
Mohammad Sadegh Nasr, Amir Hajighasemi, Paul Koomey +6
In this paper, we introduce a Variational Autoencoder (VAE) based training approach that can compress and decompress cancer pathology slides at a compression ratio of 1:512, which…
A SSIM Guided cGAN Architecture For Clinically Driven Generative Image Synthesis of Multiplexed Spatial Proteomics Channels
Jillur Rahman Saurav, Mohammad Sadegh Nasr, Paul Koomey +7
Here we present a structural similarity index measure (SSIM) guided conditional Generative Adversarial Network (cGAN) that generatively performs image-to-image (i2i) synthesis to g…
Tomographic phase and attenuation extraction for a sample composed of unknown materials using X-ray propagation-based phase-contrast imaging
Samantha J. Alloo, David M. Paganin, Kaye S. Morgan +9
Propagation-based phase-contrast X-ray imaging (PB-PCXI) generates image contrast by utilizing sample-imposed phase-shifts. This has proven useful when imaging weakly-attenuating s…
Deep learning-based transformation of the H&E stain into special stains
Kevin de Haan, Yijie Zhang, Jonathan E. Zuckerman +11
Pathology is practiced by visual inspection of histochemically stained slides. Most commonly, the hematoxylin and eosin (H&E) stain is used in the diagnostic workflow and it is the…
An Interpretable Deep Hierarchical Semantic Convolutional Neural Network for Lung Nodule Malignancy Classification
Shiwen Shen, Simon X. Han, Denise R. Aberle +2
While deep learning methods are increasingly being applied to tasks such as computer-aided diagnosis, these models are difficult to interpret, do not incorporate prior domain knowl…