Papers
378 papers found
3D Medical Axial Transformer: A Lightweight Transformer Model for 3D Brain Tumor Segmentation
Cheng Liu, Hisanor Kiryu
A comparative evaluation of image-to-image translation methods for stain transfer in histopathology
Igor Zingman, Sergio Frayle, Ivan Tankoyeu et al.
A comparison of self-supervised pretraining approaches for predicting disease risk from chest radiograph images
Yanru Chen, Michael T Lu, Vineet K Raghu
Addressing Chest Radiograph Projection Bias in Deep Classification Models
Sofia Cardoso Pereira, Joana Rocha, Alex Gaudio et al.
A deep learning method trained on synthetic data for digital breast tomosynthesis reconstruction
Arnaud Quillent, Vincent Jonas Bismuth, Isabelle Bloch et al.
A Geometric Deep Learning Framework for Generation of Virtual Left Ventricles as Graphs
Soodeh Kalaie, Andrew J. Bulpitt, Alejandro F. Frangi et al.
Alleviating tiling effect by random walk sliding window in high-resolution histological whole slide image synthesis
Shunxing Bao, Ho Hin Lee, Qi Yang et al.
Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification
Rafael Orozco, Mathias Louboutin, Ali Siahkoohi et al.
An end-to-end framework for diagnosing COVID-19 pneumonia via Parallel Recursive MLP module and Bi-LTSM correlation
Yiwen Liu, Wenyu Xing, Mingbo Zhao et al.
Automatic 3D/2D Deformable Registration in Minimally Invasive Liver Resection using a Mesh Recovery Network
Mathieu Labrunie, Daniel Pizarro, Christophe Tilmant et al.
Automatic Patient-level Diagnosis of Prostate Disease with Fused 3D MRI and Tabular Clinical Data
Oleksii Bashkanov, Marko Rak, Lucas Engelage et al.
Bi-parametric prostate MR image synthesis using pathology and sequence-conditioned stable diffusion
Shaheer U. Saeed, Tom Syer, Wen Yan et al.
Calibration techniques for node classification using graph neural networks on medical image data
Iris Vos, Ishaan Bhat, Birgitta Velthuis et al.
Considerations for data acquisition and modeling strategies: Mitosis detection in computational pathology
Zongliang Ji, Philip Rosenfield, Christina Eng et al.
Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context
Leon Yichen Cai, Ho Hin Lee, Nancy Rose Newlin et al.
CP2Image: Generating high-quality single-cell images using CellProfiler representations
Yanni Ji, Marie Cutiongco, Bj\orn Sand Jensen et al.
Data Consistent Deep Rigid MRI Motion Correction
Nalini M Singh, Neel Dey, Malte Hoffmann et al.
DBGDGM: Dynamic Brain Graph Deep Generative Model
Alexander Campbell, Simeon Emilov Spasov, Nicola Toschi et al.
DBGSL: Dynamic Brain Graph Structure Learning
Alexander Campbell, Antonio Giuliano Zippo, Luca Passamonti et al.
Decoding natural image stimuli from fMRI data with a surface-based convolutional network
Zijin Gu, Keith Jamison, Amy Kuceyeski et al.
DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification
Lemuel Puglisi, Arman Eshaghi, Geoff Parker et al.
Deformable Image Registration with Geometry-informed Implicit Neural Representations
Louis van Harten, Rudolf Leonardus Mirjam Van Herten, Jaap Stoker et al.
Diffusion Models for Contrast Harmonization of Magnetic Resonance Images
Alicia Durrer, Julia Wolleb, Florentin Bieder et al.
Domain adaptation using optimal transport for invariant learning using histopathology datasets
Kianoush Falahkheirkhah, Alex Xijie Lu, David Alvarez-Melis et al.