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08/10/2023
Transforming Breast Cancer Diagnosis: Towards Real-Time Ultrasound to Mammogram Conversion for Cost-Effective Diagnosis
Ultrasound (US) imaging is better suited for intraoperative settings bec...
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07/20/2023
Reverse Knowledge Distillation: Training a Large Model using a Small One for Retinal Image Matching on Limited Data
Retinal image matching plays a crucial role in monitoring disease progre...
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07/16/2023
Heterogeneous graphs model spatial relationships between biological entities for breast cancer diagnosis
The heterogeneity of breast cancer presents considerable challenges for ...
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07/01/2023
WaveMixSR: A Resource-efficient Neural Network for Image Super-resolution
Image super-resolution research recently been dominated by transformer m...
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07/01/2023
WavePaint: Resource-efficient Token-mixer for Self-supervised Inpainting
Image inpainting, which refers to the synthesis of missing regions in an...
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04/19/2023
CHATTY: Coupled Holistic Adversarial Transport Terms with Yield for Unsupervised Domain Adaptation
We propose a new technique called CHATTY: Coupled Holistic Adversarial T...
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03/17/2023
Robust Semi-Supervised Learning for Histopathology Images through Self-Supervision Guided Out-of-Distribution Scoring
Semi-supervised learning (semi-SL) is a promising alternative to supervi...
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02/22/2023
Magnification Invariant Medical Image Analysis: A Comparison of Convolutional Networks, Vision Transformers, and Token Mixers
Convolution Neural Networks (CNNs) are widely used in medical image anal...
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09/15/2022
Improving Mitosis Detection Via UNet-based Adversarial Domain Homogenizer
The effective localization of mitosis is a critical precursory task for ...
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08/26/2022
EGFR Mutation Prediction of Lung Biopsy Images using Deep Learning
The standard diagnostic procedures for targeted therapies in lung cancer...
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07/18/2022
Shallow Water Bathymetry Survey using an Autonomous Surface Vehicle
Accurate and cost effective mapping of water bodies has an enormous sign...
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07/05/2022
Deriving Surface Resistivity from Polarimetric SAR Data Using Dual-Input UNet
Traditional survey methods for finding surface resistivity are time-cons...
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05/28/2022
WaveMix-Lite: A Resource-efficient Neural Network for Image Analysis
Gains in the ability to generalize on image analysis tasks for neural ne...
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05/03/2022
Deep Multi-Scale U-Net Architecture and Noise-Robust Training Strategies for Histopathological Image Segmentation
Although the U-Net architecture has been extensively used for segmentati...
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03/07/2022
WaveMix: Resource-efficient Token Mixing for Images
Although certain vision transformer (ViT) and CNN architectures generali...
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01/25/2022
Convolutional Xformers for Vision
Vision transformers (ViTs) have found only limited practical use in proc...
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01/23/2022
Perceptual cGAN for MRI Super-resolution
Capturing high-resolution magnetic resonance (MR) images is a time consu...
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10/21/2021
Memory Efficient Adaptive Attention For Multiple Domain Learning
Training CNNs from scratch on new domains typically demands large number...
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07/05/2021
Vision Xformers: Efficient Attention for Image Classification
Although transformers have become the neural architectures of choice for...
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11/30/2020
Fast, Self Supervised, Fully Convolutional Color Normalization of H E Stained Images
Performance of deep learning algorithms decreases drastically if the dat...
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10/29/2020
PAL : Pretext-based Active Learning
When obtaining labels is expensive, the requirement of a large labeled t...
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09/16/2020
Activation Functions: Do They Represent A Trade-Off Between Modular Nature of Neural Networks And Task Performance
Current research suggests that the key factors in designing neural netwo...
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08/09/2020
Switching Loss for Generalized Nucleus Detection in Histopathology
The accuracy of deep learning methods for two foundational tasks in medi...
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06/16/2020
Visualization for Histopathology Images using Graph Convolutional Neural Networks
With the increase in the use of deep learning for computer-aided diagnos...
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05/24/2020
Functional Space Variational Inference for Uncertainty Estimation in Computer Aided Diagnosis
Deep neural networks have revolutionized medical image analysis and dise...
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04/06/2020
Image-based phenotyping of diverse Rice (Oryza Sativa L.) Genotypes
Development of either drought-resistant or drought-tolerant varieties in...
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03/19/2020
Uncertainty Estimation in Cancer Survival Prediction
Survival models are used in various fields, such as the development of c...
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08/21/2019
Pixel-wise Segmentation of Right Ventricle of Heart
One of the first steps in the diagnosis of most cardiac diseases, such a...
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08/14/2019
Histographs: Graphs in Histopathology
Spatial arrangement of cells of various types, such as tumor infiltratin...
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01/10/2019
Fast GPU-Enabled Color Normalization for Digital Pathology
Normalizing unwanted color variations due to differences in staining pro...
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10/31/2018
Some New Layer Architectures for Graph CNN
While convolutional neural networks (CNNs) have recently made great stri...
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02/22/2018
Classification of Breast Cancer Histology using Deep Learning
Breast Cancer is a major cause of death worldwide among women. Hematoxyl...
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12/13/2015