Search Results - "Bathula, Deepti"

Predicting women with depressive symptoms postpartum with machine learning methods by Andersson, Sam, Bathula, Deepti R., Iliadis, Stavros I., Walter, Martin, Skalkidou, Alkistis

“…Postpartum depression (PPD) is a detrimental health condition that affects 12% of new mothers. Despite negative effects on mothers’ and children’s health, many…”
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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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Distinct neuropsychological subgroups in typically developing youth inform heterogeneity in children with ADHD by Fair, Damien A, Bathula, Deepti, Nikolas, Molly A, Nigg, Joel T

“…Research and clinical investigations in psychiatry largely rely on the de facto assumption that the diagnostic categories identified in the Diagnostic and…”
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Leveraging different learning styles for improved knowledge distillation in biomedical imaging by Niyaz, Usma, Sambyal, Abhishek Singh, Bathula, Deepti R

“…Learning style refers to a type of training mechanism adopted by an individual to gain new knowledge. As suggested by the VARK model, humans have different…”
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Understanding calibration of deep neural networks for medical image classification by Sambyal, Abhishek Singh, Niyaz, Usma, Krishnan, Narayanan C., Bathula, Deepti R.

“…Background and Objective – In the field of medical image analysis, achieving high accuracy is not enough; ensuring well-calibrated predictions is also crucial…”
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Augmenting Knowledge Distillation with Peer-to-Peer Mutual Learning for Model Compression by Niyaz, Usma, Bathula, Deepti R.

“…Knowledge distillation (KD) is an effective model compression technique where a compact student network is taught to mimic the behavior of a complex and highly…”
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Investigating the temporal dynamics of electroencephalogram (EEG) microstates using recurrent neural networks by Sikka, Apoorva, Jamalabadi, Hamidreza, Krylova, Marina, Alizadeh, Sarah, Meer, Johan N., Danyeli, Lena, Deliano, Matthias, Vicheva, Petya, Hahn, Tim, Koenig, Thomas, Bathula, Deepti R., Walter, Martin

“…Electroencephalogram (EEG) microstates that represent quasi‐stable, global neuronal activity are considered as the building blocks of brain dynamics…”
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Altered White Matter Microstructure in Children With Attention-Deficit/Hyperactivity Disorder by Nagel, Bonnie J., Ph.D, Bathula, Deepti, Ph.D, Herting, Megan, B.S, Schmitt, Colleen, M.S.W, Kroenke, Christopher D., Ph.D, Fair, Damien, Ph.D, Nigg, Joel T., Ph.D

“…Objective Identification of biomarkers is a priority for attention-deficit/hyperactivity disorder (ADHD). Studies have documented macrostructural brain…”
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Influential Prototypical Networks for Few Shot Learning: A Dermatological Case Study by Roy Chowdhury, Ranjana, Bathula, Deepti R.

“…Prototypical network (PN) is a simple yet effective few shot learning strategy. It is a metric-based meta-learning technique where classification is performed…”
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Reward circuit connectivity relates to delay discounting in children with attention-deficit/hyperactivity disorder by Costa Dias, Taciana G, Wilson, Vanessa B, Bathula, Deepti R, Iyer, Swathi P, Mills, Kathryn L, Thurlow, Bria L, Stevens, Corinne A, Musser, Erica D, Carpenter, Samuel D, Grayson, David S, Mitchell, Suzanne H, Nigg, Joel T, Fair, Damien A

“…Abstract Attention-deficit/hyperactivity disorder (ADHD) is a prevalent psychiatric disorder that has poor long-term outcomes and remains a major public health…”
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Towards Reducing Aleatoric Uncertainty for Medical Imaging Tasks by Singh Sambyal, Abhishek, Krishnan, Narayanan C, Bathula, Deepti R

“…In safety-critical applications like medical diagnosis, certainty associated with a model's prediction is just as important as its accuracy. Consequently,…”
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Maturing thalamocortical functional connectivity across development by Fair, Damien A, Bathula, Deepti, Mills, Kathryn L, Dias, Taciana G Costa, Blythe, Michael S, Zhang, Dongyang, Snyder, Abraham Z, Raichle, Marcus E, Stevens, Alexander A, Nigg, Joel T, Nagel, Bonnie J

“…Recent years have witnessed a surge of investigations examining functional brain organization using resting-state functional connectivity MRI (rs-fcMRI). To…”
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EEG-ConvTransformer for single-trial EEG-based visual stimulus classification by Bagchi, Subhranil, Bathula, Deepti R.

“…•Introduces EEG-ConvTransformer to improve EEG-based visual stimulus classification•Leverages spatial context using inter-region interactions•Wide variant…”
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Adequately Wide 1D CNN facilitates improved EEG based Visual Object Recognition by Bagchi, Subhranil, Bathula, Deepti R.

“…Accurate classification of visual objects from Single-Trial EEG signals is a challenging task due to the low signal-to-noise ratio (SNR) associated with the…”
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Learning A Meta-Ensemble Technique For Skin Lesion Classification And Novel Class Detection by Bagchi, Subhranil, Banerjee, Anurag, Bathula, Deepti R.

“…The frequency and fatality rates associated with skin Melanoma requires an accurate and efficient detection methodology to enable early medical diagnosis…”
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Wavelet-Based Feature Compression for Improved Knowledge Distillation by Niyaz, Usma, Sambyal, Abhishek Singh, Bathula, Deepti R.

“…Deep learning (DL) models can achieve state-of-the-art performance but at the cost of high computation and memory requirements. Due to their large capacity, DL…”
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56. Ketamine-Induced Ego Dissolution is Related to the Functional Connectivity Reconfiguration of the Posteromedial Cortex by Li, Meng, Sharma, Nitin, Danyeli, Lena, Colic, Lejla, Opel, Nils, Chand, Tara, Qin, Wen, Bathula, Deepti, Goswami, Mayank, Zhang, Bin, Sen, Zumrut Duygu, Walter, Martin

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Atypical Default Network Connectivity in Youth with Attention-Deficit/Hyperactivity Disorder by Fair, Damien A, Posner, Jonathan, Nagel, Bonnie J, Bathula, Deepti, Dias, Taciana G. Costa, Mills, Kathryn L, Blythe, Michael S, Giwa, Aishat, Schmitt, Colleen F, Nigg, Joel T

“…Background Attention-deficit/hyperactivity disorder (ADHD) is a major public health concern. It has been suggested that the brain's default network may provide…”
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Functional connectivity signatures of major depressive disorder: machine learning analysis of two multicenter neuroimaging studies by Gallo, Selene, El-Gazzar, Ahmed, Zhutovsky, Paul, Thomas, Rajat M., Javaheripour, Nooshin, Li, Meng, Bartova, Lucie, Bathula, Deepti, Dannlowski, Udo, Davey, Christopher, Frodl, Thomas, Gotlib, Ian, Grimm, Simone, Grotegerd, Dominik, Hahn, Tim, Hamilton, Paul J., Harrison, Ben J., Jansen, Andreas, Kircher, Tilo, Meyer, Bernhard, Nenadić, Igor, Olbrich, Sebastian, Paul, Elisabeth, Pezawas, Lukas, Sacchet, Matthew D., Sämann, Philipp, Wagner, Gerd, Walter, Henrik, Walter, Martin, van Wingen, Guido

“…The promise of machine learning has fueled the hope for developing diagnostic tools for psychiatry. Initial studies showed high accuracy for the identification…”
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Bayesian analysis of fMRI data with ICA based spatial prior by Bathula, Deepti R, Tagare, Hemant D, Staib, Lawrence H, Papademetris, Xenophon, Schultz, Robert T, Duncan, James S

“…Spatial modeling is essential for fMRI analysis due to relatively high noise in the data. Earlier approaches have been primarily concerned with the spatial…”
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