742 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- New York UniversityUS36 papers
- Center for Advanced Imaging Innovation and ResearchUS6 papers
- Courant Institute of Mathematical SciencesUS6 papers
- Harvard UniversityUS5 papers
- Massachusetts General HospitalUS4 papers
- CEA Paris-SaclayFR3 papers
- Centre Inria de SaclayFR3 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR3 papers
- Flatiron Institute3 papers
- The University of Texas at AustinUS3 papers
- Université Paris-SaclayFR3 papers
7 papers · 1 filter
Text-Driven Weakly Supervised OCT Lesion Segmentation with Structural Guidance
Jiaqi Yang, Nitish Mehta, Xiaoling Hu +2
Accurate segmentation of Optical Coherence Tomography (OCT) images is crucial for diagnosing and monitoring retinal diseases. However, the labor-intensive nature of pixel-level ann…
Understanding differences in applying DETR to natural and medical images
Yanqi Xu, Yiqiu Shen, Carlos Fernandez-Granda +2
Transformer-based detectors have shown success in computer vision tasks with natural images. These models, exemplified by the Deformable DETR, are optimized through complex enginee…
Rapid Automated Analysis of Skull Base Tumor Specimens Using Intraoperative Optical Imaging and Artificial Intelligence
Cheng Jiang, Abhishek Bhattacharya, Joseph Linzey +19
Background: Accurate diagnosis of skull base tumors is essential for providing personalized surgical treatment strategies. Intraoperative diagnosis can be challenging due to tumor…
Uncertainty guided semi-supervised segmentation of retinal layers in OCT images
Suman Sedai, Bhavna Antony, Ravneet Rai +5
Deep convolutional neural networks have shown outstanding performance in medical image segmentation tasks. The usual problem when training supervised deep learning methods is the l…
A feature agnostic approach for glaucoma detection in OCT volumes
Stefan Maetschke, Bhavna Antony, Hiroshi Ishikawa +3
Optical coherence tomography (OCT) based measurements of retinal layer thickness, such as the retinal nerve fibre layer (RNFL) and the ganglion cell with inner plexiform layer (GCI…
Learning a Variational Network for Reconstruction of Accelerated MRI Data
Kerstin Hammernik, Teresa Klatzer, Erich Kobler +4
Purpose: To allow fast and high-quality reconstruction of clinical accelerated multi-coil MR data by learning a variational network that combines the mathematical structure of vari…
Segmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks
Cem M. Deniz, Siyuan Xiang, Spencer Hallyburton +5
Magnetic resonance imaging (MRI) has been proposed as a complimentary method to measure bone quality and assess fracture risk. However, manual segmentation of MR images of bone is…