Publications

SketchZooms: Deep multi-view descriptors for matching line drawings. In SGF, 2020.

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Automated lumen segmentation using multi-frame convolutional neural networks in intravascular ultrasound datasets. In EHJ-DH, 2020.

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Machine learning for filtering out false positive grey matter atrophies in single subject voxel based morphometry: A simulation based study. In JNS, 2020.

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AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography. In MedIA, 2020.

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Reducing image variability across OCT devices with unsupervised unpaired learning for improved segmentation of retina. In BOE, 2020.

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Automated Quantification of Photoreceptor alteration in macular disease using Optical Coherence Tomography and Deep Learning. In Sci Rep, 2020.

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On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems. In J Math Imaging Vis, 2019.

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Multiclass Segmentation as Multitask Learning for Drusen Segmentation in Retinal Optical Coherence Tomography. In MICCAI 2019, 2019.

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REFUGE challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs. In MedIA, 2019.

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Foveal Avascular Zone Segmentation in Clinical Routine Fluorescein Angiographies Using Multitask Learning. In OMIA 2019, 2019.

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An Amplified-Target Loss Approach for Photoreceptor Layer Segmentation in Pathological OCT Scans. In OMIA 2019, 2019.

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Improving realism in patient-specific abdominal ultrasound simulation using CycleGANs. In Int J CARS, 2019.

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Using CycleGANs for effectively reducing image variability across OCT devices and improving retinal fluid segmentation. In ISBI 2019, 2019.

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U2-Net: A Bayesian U-Net model with epistemic uncertainty feedback for photoreceptor layer segmentation in pathological OCT scans. In ISBI 2019, 2019.

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Linking Function and Structure: Prediction of Retinal Sensitivity in AMD from OCT using Deep Learning. In ARVO 2019, 2019.

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Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT. In IEEE TMI, 2019.

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Towards a Glaucoma Risk Index Based on Simulated Hemodynamics from Fundus Images. In MICCAI 2018, 2018.

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An ensemble deep learning based approach for red lesion detection in fundus images. In CMPB, 2018.

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Retinal blood vessel segmentation in high resolution fundus photographs using automated feature parameter estimation. In SIPAIM 2017, 2017.

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Proliferative diabetic retinopathy characterization based on fractal features: Evaluation on a publicly available dataset. In Med Phys, 2017.

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Convolutional neural network transfer for automated glaucoma identification. In SIPAIM 2016, 2017.

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Assessment of image features for vessel wall segmentation in intravascular ultrasound images. In Int J CARS, 2016.

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Arabidopsis Roots Segmentation Based on Morphological Operations and CRFs. In arXiv, 2014.

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