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05/01/2023
Joint tone mapping and denoising of thermal infrared images via multi-scale Retinex and multi-task learning
Cameras digitize real-world scenes as pixel intensity values with a limi...
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05/27/2022
Standalone Neural ODEs with Sensitivity Analysis
This paper presents the Standalone Neural ODE (sNODE), a continuous-dept...
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02/11/2022
Learning via nonlinear conjugate gradients and depth-varying neural ODEs
The inverse problem of supervised reconstruction of depth-variable (time...
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12/17/2021
Can uncertainty boost the reliability of AI-based diagnostic methods in digital pathology?
Deep learning (DL) has shown great potential in digital pathology applic...
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12/10/2021
Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications
Unsupervised learning has made substantial progress over the last few ye...
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09/17/2021
Primary Tumor and Inter-Organ Augmentations for Supervised Lymph Node Colon Adenocarcinoma Metastasis Detection
The scarcity of labeled data is a major bottleneck for developing accura...
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08/19/2021
How to cheat with metrics in single-image HDR reconstruction
Single-image high dynamic range (SI-HDR) reconstruction has recently eme...
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04/23/2021
Ensembles of GANs for synthetic training data generation
Insufficient training data is a major bottleneck for most deep learning ...
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03/16/2021
Unsupervised anomaly detection in digital pathology using GANs
Machine learning (ML) algorithms are optimized for the distribution repr...
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08/14/2020
Survey of XAI in digital pathology
Artificial intelligence (AI) has shown great promise for diagnostic imag...
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05/20/2020
A Study of Deep Learning Colon Cancer Detection in Limited Data Access Scenarios
Digitization of histopathology slides has led to several advances, from ...
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02/13/2020
Classifying the classifier: dissecting the weight space of neural networks
This paper presents an empirical study on the weights of neural networks...
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09/25/2019
A closer look at domain shift for deep learning in histopathology
Domain shift is a significant problem in histopathology. There can be la...
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02/27/2019
Single-frame Regularization for Temporally Stable CNNs
Convolutional neural networks (CNNs) can model complicated non-linear re...
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10/20/2017