Search Results - "Murugesan, Balamurali"

REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs by Orlando, José Ignacio, Fu, Huazhu, Barbosa Breda, João, van Keer, Karel, Bathula, Deepti R., Diaz-Pinto, Andrés, Fang, Ruogu, Heng, Pheng-Ann, Kim, Jeyoung, Lee, JoonHo, Lee, Joonseok, Li, Xiaoxiao, Liu, Peng, Lu, Shuai, Murugesan, Balamurali, Naranjo, Valery, Phaye, Sai Samarth R., Shankaranarayana, Sharath M., Sikka, Apoorva, Son, Jaemin, van den Hengel, Anton, Wang, Shujun, Wu, Junyan, Wu, Zifeng, Xu, Guanghui, Xu, Yongli, Yin, Pengshuai, Li, Fei, Zhang, Xiulan, Xu, Yanwu, Bogunović, Hrvoje

“…•REFUGE, the first challenge on glaucoma assessment from fundus images.•A data set of 1200 images with reliable ground truth labels is publicly released.•An…”
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Calibrating segmentation networks with margin-based label smoothing by Murugesan, Balamurali, Liu, Bingyuan, Galdran, Adrian, Ayed, Ismail Ben, Dolz, Jose

“…Despite the undeniable progress in visual recognition tasks fueled by deep neural networks, there exists recent evidence showing that these models are poorly…”
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MCI-HyperNet: A multiple contextual information-based adaptive weight learning network for controllable image reconstruction by Ramanarayanan, Sriprabha, Murugesan, Balamurali, Palla, Arun, Ram, Keerthi, Venkatesan, Ramesh, Sivaprakasam, Mohanasankar

“…Contemporary deep learning methods for image reconstruction have shown promising results over classical methods. However, they are not robust to image…”
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DC-WCNN: A Deep Cascade of Wavelet Based Convolutional Neural Networks for MR Image Reconstruction by Ramanarayanan, Sriprabha, Murugesan, Balamurali, Ram, Keerthi, Sivaprakasam, Mohanasankar

“…Several variants of Convolutional Neural Networks (CNN) have been developed for Magnetic Resonance (MR) image reconstruction. Among them, U-Net has shown to be…”
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A deep cascade of ensemble of dual domain networks with gradient-based T1 assistance and perceptual refinement for fast MRI reconstruction by Murugesan, Balamurali, Ramanarayanan, Sriprabha, Vijayarangan, Sricharan, Ram, Keerthi, Jagannathan, Naranamangalam R, Sivaprakasam, Mohanasankar

“…•ReconSynergyNet (RSN), a network that simultaneously operates on both image and frequency domain.•DC-RSN and VS-RSN, ensemble of dual domain cascade…”
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Style Transfer based Coronary Artery Segmentation in X-ray Angiogram by Mulay, Supriti, Ram, Keerthi, Murugesan, Balamurali, Sivaprakasam, Mohanasankar

“…X-ray coronary angiography (XCA) is a principal approach employed for identifying coronary disorders. Deep learning-based networks have recently shown…”
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Dual-Encoder-Unet For Fast Mri Reconstruction by Jethi, Amrit Kumar, Murugesan, Balamurali, Ram, Keerthi, Sivaprakasam, Mohanasankar

“…Deep learning has shown great promise for successful acceleration of MRI data acquisition. A variety of architectures have been proposed to obtain high…”
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Prompting classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation by Murugesan, Balamurali, Hussain, Rukhshanda, Bhattacharya, Rajarshi, Ayed, Ismail Ben, Dolz, Jose

“…Recently, CLIP-based approaches have exhibited remarkable performance on generalization and few-shot learning tasks, fueled by the power of contrastive…”
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Psi-Net: Shape and boundary aware joint multi-task deep network for medical image segmentation by Murugesan, Balamurali, Sarveswaran, Kaushik, Shankaranarayana, Sharath M, Ram, Keerthi, Joseph, Jayaraj, Sivaprakasam, Mohanasankar

“…Image segmentation is a primary task in many medical applications. Recently, many deep networks derived from U-Net has been extensively used in various medical…”
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A Context Based Deep Learning Approach for Unbalanced Medical Image Segmentation by Murugesan, Balamurali, Sarveswaran, Kaushik, Raghavan S., Vijaya, Shankaranarayana, Sharath M, Ram, Keerthi, Sivaprakasam, Mohanasankar

“…Automated medical image segmentation is an important step in many medical procedures. Recently, deep learning networks have been widely used for various…”
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RespNet: A deep learning model for extraction of respiration from photoplethysmogram by Ravichandran, Vignesh, Murugesan, Balamurali, Balakarthikeyan, Vaishali, Ram, Keerthi, Preejith, S.P., Joseph, Jayaraj, Sivaprakasam, Mohanasankar

“…Respiratory ailments afflict a wide range of people and manifests itself through conditions like asthma and sleep apnea. Continuous monitoring of chronic…”
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Robust Calibration of Large Vision-Language Adapters by Murugesan, Balamurali, Silva-Rodriguez, Julio, Ayed, Ismail Ben, Dolz, Jose

“…This paper addresses the critical issue of miscalibration in CLIP-based model adaptation, particularly in the challenging scenario of out-of-distribution (OOD)…”
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ECGNet: Deep Network for Arrhythmia Classification by Murugesan, Balamurali, Ravichandran, Vignesh, Ram, Keerthi, S.P., Preejith, Joseph, Jayaraj, Shankaranarayana, Sharath M., Sivaprakasam, Mohanasankar

“…Cardiac arrhythmias are presently diagnosed by manual interpretation of Electrocardiography (ECG) signals. Automated ECG interpretation is required to perform…”
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Class and Region-Adaptive Constraints for Network Calibration by Murugesan, Balamurali, Silva-Rodriguez, Julio, Ayed, Ismail Ben, Dolz, Jose

“…In this work, we present a novel approach to calibrate segmentation networks that considers the inherent challenges posed by different categories and object…”
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Do not trust what you trust: Miscalibration in Semi-supervised Learning by Mishra, Shambhavi, Murugesan, Balamurali, Ayed, Ismail Ben, Pedersoli, Marco, Dolz, Jose

“…State-of-the-art semi-supervised learning (SSL) approaches rely on highly confident predictions to serve as pseudo-labels that guide the training on unlabeled…”
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Neighbor-Aware Calibration of Segmentation Networks with Penalty-Based Constraints by Murugesan, Balamurali, Vasudeva, Sukesh Adiga, Liu, Bingyuan, Lombaert, Hervé, Ayed, Ismail Ben, Dolz, Jose

“…Ensuring reliable confidence scores from deep neural networks is of paramount significance in critical decision-making systems, particularly in real-world…”
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MAC-ReconNet: A Multiple Acquisition Context based Convolutional Neural Network for MR Image Reconstruction using Dynamic Weight Prediction by Ramanarayanan, Sriprabha, Murugesan, Balamurali, Ram, Keerthi, Sivaprakasam, Mohanasankar

“…Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:696-708, 2020 Convolutional Neural network-based MR reconstruction methods…”
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Prompting classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation by Murugesan, Balamurali, Hussain, Rukhshanda, Bhattacharya, Rajarshi, Ayed, Ismail Ben, Dolz, Jose

“…Recently, CLIP-based approaches have exhibited remarkable performance on generalization and few-shot learning tasks, fueled by the power of contrastive…”
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RPnet: A Deep Learning approach for robust R Peak detection in noisy ECG by Vijayarangan, Sricharan, R., Vignesh, Murugesan, Balamurali, S.P., Preejith, Joseph, Jayaraj, Sivaprakasam, Mohansankar

“…Automatic detection of R-peaks in an Electrocardiogram signal is crucial in a multitude of applications including Heart Rate Variability (HRV) analysis and…”
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Style Transfer based Coronary Artery Segmentation in X-ray Angiogram by Mulay, Supriti, Ram, Keerthi, Murugesan, Balamurali, Sivaprakasam, Mohanasankar

“…X-ray coronary angiography (XCA) is a principal approach employed for identifying coronary disorders. Deep learning-based networks have recently shown…”
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