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08/25/2023
Hyperbolic Random Forests
Hyperbolic space is becoming a popular choice for representing data due ...
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08/23/2023
StofNet: Super-resolution Time of Flight Network
Time of Flight (ToF) is a prevalent depth sensing technology in the fiel...
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07/31/2023
Domain Adaptation for Medical Image Segmentation using Transformation-Invariant Self-Training
Models capable of leveraging unlabelled data are crucial in overcoming l...
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07/19/2023
A reinforcement learning approach for VQA validation: an application to diabetic macular edema grading
Recent advances in machine learning models have greatly increased the pe...
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07/03/2023
Localized Questions in Medical Visual Question Answering
Visual Question Answering (VQA) models aim to answer natural language qu...
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06/27/2023
Geometric Ultrasound Localization Microscopy
Contrast-Enhanced Ultra-Sound (CEUS) has become a viable method for non-...
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04/17/2023
Learning How To Robustly Estimate Camera Pose in Endoscopic Videos
Purpose: Surgical scene understanding plays a critical role in the techn...
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04/11/2023
Unsupervised out-of-distribution detection for safer robotically-guided retinal microsurgery
Purpose: A fundamental problem in designing safe machine learning system...
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03/21/2023
Full or Weak annotations? An adaptive strategy for budget-constrained annotation campaigns
Annotating new datasets for machine learning tasks is tedious, time-cons...
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03/16/2023
Logical Implications for Visual Question Answering Consistency
Despite considerable recent progress in Visual Question Answering (VQA) ...
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03/15/2023
Stochastic Segmentation with Conditional Categorical Diffusion Models
Semantic segmentation has made significant progress in recent years than...
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08/23/2022
ULISSE: A Tool for One-shot Sky Exploration and its Application to Active Galactic Nuclei Detection
Modern sky surveys are producing ever larger amounts of observational da...
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07/04/2022
DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos
Semantic segmentation in cataract surgery has a wide range of applicatio...
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06/27/2022
Consistency-preserving Visual Question Answering in Medical Imaging
Visual Question Answering (VQA) models take an image and a natural-langu...
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11/26/2021
Data Invariants to Understand Unsupervised Out-of-Distribution Detection
Unsupervised out-of-distribution (U-OOD) detection has recently attracte...
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07/18/2021
A Positive/Unlabeled Approach for the Segmentation of Medical Sequences using Point-Wise Supervision
The ability to quickly annotate medical imaging data plays a critical ro...
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06/21/2021
CataNet: Predicting remaining cataract surgery duration
Cataract surgery is a sight saving surgery that is performed over 10 mil...
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07/16/2019
Fused Detection of Retinal Biomarkers in OCT Volumes
Optical Coherence Tomography (OCT) is the primary imaging modality for d...
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07/15/2019
Concept-Centric Visual Turing Tests for Method Validation
Recent advances in machine learning for medical imaging have led to impr...
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07/10/2019
Deep Multi Label Classification in Affine Subspaces
Multi-label classification (MLC) problems are becoming increasingly popu...
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10/09/2018
Discovering General-Purpose Active Learning Strategies
We propose a general-purpose approach to discovering active learning (AL...
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08/27/2018
Iterative multi-path tracking for video and volume segmentation with sparse point supervision
Recent machine learning strategies for segmentation tasks have shown gre...
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05/07/2018
Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery
Intraoperative segmentation and tracking of minimally invasive instrumen...
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10/18/2017
Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery
Detection of surgical instruments plays a key role in ensuring patient s...
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07/16/2017
Pathological OCT Retinal Layer Segmentation using Branch Residual U-shape Networks
The automatic segmentation of retinal layer structures enables clinicall...
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07/16/2017
Expected exponential loss for gaze-based video and volume ground truth annotation
Many recent machine learning approaches used in medical imaging are high...
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10/12/2016
RetiNet: Automatic AMD identification in OCT volumetric data
Optical Coherence Tomography (OCT) provides a unique ability to image th...
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06/29/2016
Geometry in Active Learning for Binary and Multi-class Image Segmentation
We propose an Active Learning approach to image segmentation that exploi...
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12/02/2015
Active Learning for Delineation of Curvilinear Structures
Many recent delineation techniques owe much of their increased effective...
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07/08/2010
Multi-environment model estimation for motility analysis of Caenorhabditis Elegans
The nematode Caenorhabditis elegans is a well-known model organism used ...
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03/27/2010