Papers
378 papers found
Feature Disentanglement to Aid Imaging Biomarker Characterization for Genetic Mutations
Padmaja Jonnalagedda, Brent Weinberg, Jason Allen et al.
Fusing Structural and Functional MRIs using Graph Convolutional Networks for Autism Classification
Devanshu Arya, Richard Olij, Deepak K. Gupta et al.
Generating Fundus Fluorescence Angiography Images from Structure Fundus Images Using Generative Adversarial Networks
Wanyue Li, Wen Kong, Yiwei Chen et al.
How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study
Jun Ma, Zhan Wei, Yiwen Zhang et al.
Improving the Ability of Deep Neural Networks to Use Information from Multiple Views in Breast Cancer Screening
Nan Wu, Stanisław Jastrzębski, Jungkyu Park et al.
Joint Learning of Vessel Segmentation and Artery/Vein Classification with Post-processing
Liangzhi Li, Manisha Verma, Yuta Nakashima et al.
KD-MRI: A knowledge distillation framework for image reconstruction and image restoration in MRI workflow
Balamurali Murugesan, Sricharan Vijayarangan, Kaushik Sarveswaran et al.
Knee Injury Detection using MRI with Efficiently-Layered Network (ELNet)
Chen-Han Tsai, Nahum Kiryati, Eli Konen et al.
Laplacian pyramid-based complex neural network learning for fast MR imaging
Haoyun Liang, Yu Gong, Hoel Kervadec et al.
Locating Cephalometric X-Ray Landmarks with Foveated Pyramid Attention
Logan Gilmour, Nilanjan Ray
MAC-ReconNet: A Multiple Acquisition Context based Convolutional Neural Network for MR Image Reconstruction using Dynamic Weight Prediction
Sriprabha Ramanarayanan, Balamurali Murugesan, Keerthi Ram et al.
Multitask radiological modality invariant landmark localization using deep reinforcement learning
Vishwa S. Parekh, Bocchieri Alex E., Vladimir Braverman et al.
Mutual information deep regularization for semi-supervised segmentation
Jizong Peng, Marco Pedersoli, Christian Desrosiers
On Direct Distribution Matching for Adapting Segmentation Networks
Georg Pichler, Jose Dolz, Ismail Ben Ayed et al.
On the limits of cross-domain generalization in automated X-ray prediction
Joseph Paul Cohen, Mohammad Hashir, Rupert Brooks et al.
PathologyGAN: Learning deep representations of cancer tissue
Adalberto Claudio Quiros, Roderick Murray-Smith, Ke Yuan
Priority U-Net: Detection of Punctuate White Matter Lesions in Preterm Neonate in 3D Cranial Ultrasonography
Pierre Erbacher, Carole Lartizien, Matthieu Martin et al.
Prostate Cancer Semantic Segmentation by Gleason Score Group in bi-parametric MRI with Self Attention Model on the Peripheral Zone
Audrey Duran, Pierre-Marc Jodoin, Carole Lartizien
Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays
Mohammad Hashir, Hadrien Bertrand, Joseph Paul Cohen
Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective.
Ahmad B. Qasim, Ivan Ezhov, Suprosanna Shit et al.
SAU-Net: Efficient 3D Spine MRI Segmentation Using Inter-Slice Attention
Yichi Zhang, Lin Yuan, Yujia Wang et al.
Siamese Content Loss Networks for Highly Imbalanced Medical Image Segmentation
Brandon Mac, Alan R. Moody, April Khademi
Siamese Tracking of Cell Behaviour Patterns
Andreas Panteli, Deepak K. Gupta, Nathan Bruijn et al.
Skull R-CNN: A CNN-based network for the skull fracture detection
Zhuo Kuang, Xianbo Deng, Li Yu et al.
Tensor Networks for Medical Image Classification
Raghavendra Selvan, Erik B Dam