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07/18/2023
Unsupervised Conditional Slot Attention for Object Centric Learning
Extracting object-level representations for downstream reasoning tasks i...
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07/11/2023
A Causal Ordering Prior for Unsupervised Representation Learning
Unsupervised representation learning with variational inference relies h...
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10/17/2022
Visual Debates
The natural way of obtaining different perspectives on any given topic i...
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07/05/2022
Vector Quantisation for Robust Segmentation
The reliability of segmentation models in the medical domain depends on ...
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07/05/2022
GLANCE: Global to Local Architecture-Neutral Concept-based Explanations
Most of the current explainability techniques focus on capturing the imp...
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07/05/2022
Hierarchical Symbolic Reasoning in Hyperbolic Space for Deep Discriminative Models
Explanations for black-box models help us understand model decisions as ...
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01/05/2021
Brain Tumor Segmentation and Survival Prediction using Automatic Hard mining in 3D CNN Architecture
We utilize 3-D fully convolutional neural networks (CNN) to segment glio...
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08/14/2020
Abstracting Deep Neural Networks into Concept Graphs for Concept Level Interpretability
The black-box nature of deep learning models prevents them from being co...
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06/05/2020
Structurally aware bidirectional unpaired image to image translation between CT and MR
Magnetic Resonance (MR) Imaging and Computed Tomography (CT) are the pri...
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01/01/2020
A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis
Histopathology tissue analysis is considered the gold standard in cancer...
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10/31/2019
Dynamic Regularizer with an Informative Prior
Regularization methods, specifically those which directly alter weights ...
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09/03/2019
Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis
The accurate automatic segmentation of gliomas and its intra-tumoral str...
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08/17/2019
Zero Shot Learning for Multi-Modal Real Time Image Registration
In this report we present an unsupervised image registration framework, ...
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11/05/2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
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09/14/2018
Enhanced Optic Disk and Cup Segmentation with Glaucoma Screening from Fundus Images using Position encoded CNNs
In this manuscript, we present a robust method for glaucoma screening fr...
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09/12/2018
