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08/29/2023
A General-Purpose Self-Supervised Model for Computational Pathology
Tissue phenotyping is a fundamental computational pathology (CPath) task...
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07/27/2023
Weakly Supervised AI for Efficient Analysis of 3D Pathology Samples
Human tissue and its constituent cells form a microenvironment that is f...
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07/24/2023
Towards a Visual-Language Foundation Model for Computational Pathology
The accelerated adoption of digital pathology and advances in deep learn...
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06/13/2023
Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images
Contrastive visual language pretraining has emerged as a powerful method...
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04/13/2023
Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction
Integrating whole-slide images (WSIs) and bulk transcriptomics for predi...
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02/23/2023
Quantifying Modeling Feature Interactions: An Information Decomposition Framework
The recent explosion of interest in multimodal applications has resulted...
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10/31/2022
Embedding Space Augmentation for Weakly Supervised Learning in Whole-Slide Images
Multiple Instance Learning (MIL) is a widely employed framework for lear...
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06/17/2022
Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling
Supervised learning tasks such as cancer survival prediction from gigapi...
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06/06/2022
Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning
Vision Transformers (ViTs) and their multi-scale and hierarchical variat...
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10/01/2021
Algorithm Fairness in AI for Medicine and Healthcare
In the current development and deployment of many artificial intelligenc...
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08/04/2021
Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep Learning
The rapidly emerging field of deep learning-based computational patholog...
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07/28/2021
Fast and Scalable Image Search For Histology
The expanding adoption of digital pathology has enabled the curation of ...
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07/27/2021
Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks
Cancer prognostication is a challenging task in computational pathology ...
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07/25/2021
Deep Learning-based Frozen Section to FFPE Translation
Frozen sectioning (FS) is the preparation method of choice for microscop...
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09/21/2020
Federated Learning for Computational Pathology on Gigapixel Whole Slide Images
Deep Learning-based computational pathology algorithms have demonstrated...
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06/24/2020
Deep Learning-based Computational Pathology Predicts Origins for Cancers of Unknown Primary
Cancers of unknown primary (CUP), represent 1-3 enigmatic disease where ...
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04/20/2020
Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images
The rapidly emerging field of computational pathology has the potential ...
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12/18/2019
Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis
Cancer diagnosis, prognosis and therapeutic response predictions are bas...
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10/29/2019
Weakly Supervised Prostate TMA Classification via Graph Convolutional Networks
Histology-based grade classification is clinically important for many ca...
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10/23/2019
Semi-Supervised Histology Classification using Deep Multiple Instance Learning and Contrastive Predictive Coding
Convolutional neural networks can be trained to perform histology slide ...
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06/29/2019
SLAM Endoscopy enhanced by adversarial depth prediction
Medical endoscopy remains a challenging application for simultaneous loc...
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06/12/2019
GANPOP: Generative Adversarial Network Prediction of Optical Properties from Single Snapshot Wide-field Images
We present a deep learning framework for wide-field, content-aware estim...
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04/30/2019
Structured Prediction using cGANs with Fusion Discriminator
We propose the fusion discriminator, a single unified framework for inco...
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11/18/2018
Multimodal Densenet
Humans make accurate decisions by interpreting complex data from multipl...
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10/23/2018
DeepLSR: Deep learning approach for laser speckle reduction
We present a deep learning approach for laser speckle reduction ('DeepLS...
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09/29/2018
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images
Nuclei segmentation is a fundamental task that is critical for various c...
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08/22/2018
Rethinking Monocular Depth Estimation with Adversarial Training
Monocular depth estimation is an extensively studied computer vision pro...
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05/22/2018
Deep Learning with Cinematic Rendering - Fine-Tuning Deep Neural Networks Using Photorealistic Medical Images
Deep learning has emerged as a powerful artificial intelligence tool to ...
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11/17/2017
Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training
To realize the full potential of deep learning for medical imaging, larg...
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10/30/2017
Deep Learning and Conditional Random Fields-based Depth Estimation and Topographical Reconstruction from Conventional Endoscopy
Colorectal cancer is the fourth leading cause of cancer deaths worldwide...
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10/04/2016
Adaptive Graph-based Total Variation for Tomographic Reconstructions
Sparsity exploiting image reconstruction (SER) methods have been extensi...
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03/16/2016
2D Discrete Fourier Transform with Simultaneous Edge Artifact Removal for Real-Time Applications
Two-Dimensional (2D) Discrete Fourier Transform (DFT) is a basic and com...
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03/14/2016
