output
20092022
most citedDeep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Brain's Ventral Visual Pathway

1.1k citations

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7 papers · 1 filter

cs.CV2020★ 57 cited

End-to-End Pixel-Based Deep Active Inference for Body Perception and Action

Cansu Sancaktar, Marcel van Gerven, Pablo Lanillos

We present a pixel-based deep active inference algorithm (PixelAI) inspired by human body perception and action. Our algorithm combines the free-energy principle from neuroscience,…

cs.CV2019★ 36 cited

Iterative Augmentation of Visual Evidence for Weakly-Supervised Lesion Localization in Deep Interpretability Frameworks: Application to Color Fundus Images

Cristina González-Gonzalo, Bart Liefers, Bram van Ginneken +1

Interpretability of deep learning (DL) systems is gaining attention in medical imaging to increase experts' trust in the obtained predictions and facilitate their integration in cl…

cs.CV2019★ 110 cited

Evaluation of a deep learning system for the joint automated detection of diabetic retinopathy and age-related macular degeneration

Cristina González-Gonzalo, Verónica Sánchez-Gutiérrez, Paula Hernández-Martínez +5

Purpose: To validate the performance of a commercially-available, CE-certified deep learning (DL) system, RetCAD v.1.3.0 (Thirona, Nijmegen, The Netherlands), for the joint automat…

cs.CV2018★ 26 cited

First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis

Julio C. S. Jacques Junior, Yağmur Güçlütürk, Marc Pérez +8

Personality analysis has been widely studied in psychology, neuropsychology, and signal processing fields, among others. From the past few years, it also became an attractive resea…

cs.CV2018★ 34 cited

Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos

Hugo Jair Escalante, Heysem Kaya, Albert Ali Salah +14

Explainability and interpretability are two critical aspects of decision support systems. Within computer vision, they are critical in certain tasks related to human behavior analy…

cs.CV2017★ 253 cited

Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation

Mohsen Ghafoorian, Alireza Mehrtash, Tina Kapur +11

Magnetic Resonance Imaging (MRI) is widely used in routine clinical diagnosis and treatment. However, variations in MRI acquisition protocols result in different appearances of nor…

cs.CV2016★ 60 cited

Convolutional Sketch Inversion

Yağmur Güçlütürk, Umut Güçlü, Rob van Lier +1

In this paper, we use deep neural networks for inverting face sketches to synthesize photorealistic face images. We first construct a semi-simulated dataset containing a very large…