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Gagandeep Singh
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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Other persons with the same name
- Gagandeep Singh 0001 — University of Illinois Urbana-Champaign, IL, USA (and 1 more)
- Gagandeep Singh 0002 — IBM Research - Zurich, Switzerland (and 1 more)
- Gagandeep Singh 0003 — Khalsa College, Amritsar, India (and 1 more)
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2020 – today
- 2025
- [j22]Fan Wang, Zhilin Zou, Nicole Sakla, Luke Partyka, Nil Rawal, Gagandeep Singh, Wei Zhao, Haibin Ling, Chuan Huang, Prateek Prasanna, Chao Chen:
TopoTxR: A topology-guided deep convolutional network for breast parenchyma learning on DCE-MRIs. Medical Image Anal. 99: 103373 (2025) - 2024
- [j21]Simranjot Kaur, Sumit Chopra, Anchal Nayyar, Rajesh Sharma, Gagandeep Singh:
A sequential convolutional neural network for image forgery detection. Multim. Tools Appl. 83(14): 41311-41325 (2024) - [c32]Gagandeep Singh, Mohammad Nadir, Rachit Thukral, Varun Gambhir, Piyush Chanana, Rohan Paul:
An Embedded AI System for Predicting and Correcting the Sensor-Orientation of an Electronic Travel Aid During Use by a Visually Impaired Person. ICCHP (1) 2024: 444-453 - [c31]Zilinghan Li, Pranshu Chaturvedi, Shilan He, Han Chen, Gagandeep Singh, Volodymyr V. Kindratenko, Eliu A. Huerta, Kibaek Kim, Ravi K. Madduri:
FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler. ICLR 2024 - [i16]Enyi Jiang, Gagandeep Singh:
RAMP: Boosting Adversarial Robustness Against Multiple lp Perturbations. CoRR abs/2402.06827 (2024) - [i15]Moinak Bhattacharya, Gagandeep Singh, Shubham Jain, Prateek Prasanna:
RadGazeGen: Radiomics and Gaze-guided Medical Image Generation using Diffusion Models. CoRR abs/2410.00307 (2024) - [i14]Enyi Jiang, Gagandeep Singh:
Towards Universal Certified Robustness with Multi-Norm Training. CoRR abs/2410.03000 (2024) - 2023
- [j20]Ipsha Banerjee, Kazi Syed, Aishwarya Potturu, Venkata Svs Pragada, Rishika S. Sharma, Anita C. Murcko, Darwyn Chern, Michael Todd, Padma Aking, Ali Al-Yaqoobi, Patricia Bayless, Winona Belmonte, Teresa Cuadra, Trudy Dockins, Christina Eldredge, Robert El-Kareh, Gregory Gale, Edward Gentile, Edward Kalpas, Meghan Morris, Laurel Mueller, Dorothy Piekut, Mindy K. Ross, John C. Sarris, Gagandeep Singh, Shalini Tharani, Mark Wallace, María Adela Grando:
Physicians differ in their perceptions of sensitive medical records: Survey and interview study. Health Informatics J. 29(3) (2023) - [j19]Dheerendra Mishra, Saurabh Rana, Chirag Goyal, Gagandeep Singh:
FOESG: anonymous session key agreement protocol for fog assisted smart grid communication. Int. J. Ad Hoc Ubiquitous Comput. 42(3): 137-147 (2023) - [c30]Gagandeep Singh, Yue Pan, Jesús Andrés-Ferrer, Miguel A. del Agua, Frank Diehl, Joel Pinto, Paul Vozila:
Large Scale Sequence-to-Sequence Models for Clinical Note Generation from Patient-Doctor Conversations. ClinicalNLP@ACL 2023: 138-143 - [c29]Adrian Lutsch, Gagandeep Singh, Martin Mundt, Ragnar Mogk, Carsten Binnig:
Benchmarking the Second Generation of Intel SGX for Machine Learning Workloads. BTW 2023: 711-717 - [c28]Nathasha V. P, Rahul Shukla, Sachin Yadav, Krishnu R. S, Amanpreet Chander, Gagandeep Singh, Ashish Kumar Sahani:
Automation of Seizure Diary Entry using Mobile-based Application. I2MTC 2023: 1-5 - [c27]Abhishek Chandra, Gagandeep Singh:
Hybrid Classification Model For Acoustic-Based Emergency Vehicle Detection. IC3I 2023: 1199-1205 - [i13]Zilinghan Li, Pranshu Chaturvedi, Shilan He, Han Chen, Gagandeep Singh, Volodymyr V. Kindratenko, Eliu A. Huerta, Kibaek Kim, Ravi K. Madduri:
FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices using a Computing Power Aware Scheduler. CoRR abs/2309.14675 (2023) - 2022
- [j18]Gagandeep Singh, Anjana Kumari, U. C. Gupta:
Stationary system-length distribution of Markovian bulk service queue with modified bulk service rule and dynamic service rates. Int. J. Comput. Math. Comput. Syst. Theory 7(1): 42-62 (2022) - [j17]Rahul Mahadik, Gagandeep Singh, Aurobinda Routray:
Multispectral Coherence Analysis for Better Fault Visualization in Seismic Data. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j16]Marwa Ismail, Prateek Prasanna, Kaustav Bera, Volodymyr Statsevych, Virginia B. Hill, Gagandeep Singh, Sasan Partovi, Niha G. Beig, Sean D. McGarry, Peter S. LaViolette, Manmeet Ahluwalia, Anant Madabhushi, Pallavi Tiwari:
Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to Characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma. IEEE Trans. Medical Imaging 41(7): 1764-1777 (2022) - [c26]Arvid Frydenlund, Gagandeep Singh, Frank Rudzicz:
Language Modelling via Learning to Rank. AAAI 2022: 10636-10644 - [c25]Saumya Gupta, Xiaoling Hu, James Kaan, Michael Jin, Mutshipay Mpoy, Katherine Chung, Gagandeep Singh, Mary M. Saltz, Tahsin M. Kurç, Joel H. Saltz, Apostolos Tassiopoulos, Prateek Prasanna, Chao Chen:
Learning Topological Interactions for Multi-Class Medical Image Segmentation. ECCV (29) 2022: 701-718 - [c24]George Michalopoulos, Kyle Williams, Gagandeep Singh, Thomas Lin:
MedicalSum: A Guided Clinical Abstractive Summarization Model for Generating Medical Reports from Patient-Doctor Conversations. EMNLP (Findings) 2022: 4741-4749 - [c23]Hemant Kumar Chattar, Bijit Basumatary, Rahul Shukla, Birinder Singh Paul, Ranjit Kaur, Arun Khokhar, Gagandeep Singh, Ashish Kumar Sahani:
Multi-parameter Wearable Band for Wireless Data Collection from People with Epilepsy. I2MTC 2022: 1-5 - [c22]Krishnu R. S, Rahul Shukla, Hemant Kumar Chattar, Birinder Singh Paul, Ranjit Kaur, Arun Khokhar, Gagandeep Singh, Ashish Kumar Sahani:
An Emergency Message and Call System for People with Epilepsy. I2MTC 2022: 1-5 - [c21]Gagandeep Singh, Sagar Singh, Nikhil Upadhyay, Mayank Kumar, Ankit Krishnakumar Thakur:
DC Microgrid Protection. ICIMMI 2022: 71:1-71:5 - [i12]Lei Zhou, Joseph Bae, Huidong Liu, Gagandeep Singh, Jeremy Green, Amit Gupta, Dimitris Samaras, Prateek Prasanna:
Lung Swapping Autoencoder: Learning a Disentangled Structure-texture Representation of Chest Radiographs. CoRR abs/2201.07344 (2022) - [i11]Saumya Gupta, Xiaoling Hu, James Kaan, Michael Jin, Mutshipay Mpoy, Katherine Chung, Gagandeep Singh, Mary M. Saltz, Tahsin M. Kurç, Joel H. Saltz, Apostolos Tassiopoulos, Prateek Prasanna, Chao Chen:
Learning Topological Interactions for Multi-Class Medical Image Segmentation. CoRR abs/2207.09654 (2022) - [i10]Gagandeep Singh:
Designing, Modeling, and Optimizing Data-Intensive Computing Systems. CoRR abs/2208.08886 (2022) - 2021
- [j15]Yangjun Chen, Gagandeep Singh:
Graph Indexing for Efficient Evaluation of Label-constrained Reachability Queries. ACM Trans. Database Syst. 46(2): 8:1-8:50 (2021) - [c20]Deepan Datta, Gagandeep Singh, Aurobinda Routray, William K. Mohanty, Rahul Mahadik:
Automatic Classification of Lithofacies with Highly Imbalanced Dataset Using Multistage SVM Classifier. IECON 2021: 1-6 - [c19]Gagandeep Singh, Deepan Datta, William K. Mohanty, Aurobinda Routray, Rahul Mahadik:
Application of Walsh Filter in Geophysical Well-Log Data Interpretation for Automated Lithological Bed Boundary Detection. IECON 2021: 1-6 - [c18]Connor Cowan, Joseph Bae, Gagandeep Singh, Rohit Khullar, Shrey Shah, Nikhil Madan, Prateek Prasanna:
Evolution of chest radiograph radiomics and association with respiratory and inflammatory parameters in COVID-19 patients undergoing prone ventilation: preliminary findings. Computer-Aided Diagnosis 2021 - [c17]Lei Zhou, Joseph Bae, Huidong Liu, Gagandeep Singh, Jeremy Green, Dimitris Samaras, Prateek Prasanna:
Chest Radiograph Disentanglement for COVID-19 Outcome Prediction. MICCAI (7) 2021: 345-355 - [c16]Sudhir Suman, Gagandeep Singh, Nicole Sakla, Rishabh Gattu, Jeremy Green, Tej Phatak, Dimitris Samaras, Prateek Prasanna:
Attention Based CNN-LSTM Network for Pulmonary Embolism Prediction on Chest Computed Tomography Pulmonary Angiograms. MICCAI (7) 2021: 356-366 - [c15]Aishik Konwer, Joseph Bae, Gagandeep Singh, Rishabh Gattu, Syed Ali, Jeremy Green, Tej Phatak, Prateek Prasanna:
Attention-Based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction. MICCAI (5) 2021: 824-833 - [c14]Aishik Konwer, Joseph Bae, Gagandeep Singh, Rishabh Gattu, Syed Ali, Jeremy Green, Tej Phatak, Amit Gupta, Chao Chen, Joel H. Saltz, Prateek Prasanna:
Predicting COVID-19 Lung Infiltrate Progression on Chest Radiographs Using Spatio-temporal LSTM based Encoder-Decoder Network. MIDL 2021: 384-398 - [i9]Gagandeep Singh, Deepak Mishra:
pseudo-Bayesian Neural Networks for detecting Out of Distribution Inputs. CoRR abs/2102.01336 (2021) - [i8]Marwa Ismail, Prateek Prasanna, Kaustav Bera, Volodymyr Statsevych, Virginia B. Hill, Gagandeep Singh, Sasan Partovi, Niha G. Beig, Sean D. McGarry, Peter S. LaViolette, Manmeet Ahluwalia, Anant Madabhushi, Pallavi Tiwari:
Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma. CoRR abs/2103.07423 (2021) - [i7]Gagandeep Singh, Akshar Kaul:
Secure Hypersphere Range Query on Encrypted Data. CoRR abs/2103.09668 (2021) - [i6]Sudhir Suman, Gagandeep Singh, Nicole Sakla, Rishabh Gattu, Jeremy Green, Tej Phatak, Dimitris Samaras, Prateek Prasanna:
Attention based CNN-LSTM Network for Pulmonary Embolism Prediction on Chest Computed Tomography Pulmonary Angiograms. CoRR abs/2107.06276 (2021) - [i5]Aishik Konwer, Joseph Bae, Gagandeep Singh, Rishabh Gattu, Syed Ali, Jeremy Green, Tej Phatak, Prateek Prasanna:
Attention-based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction. CoRR abs/2107.08330 (2021) - [i4]Arvid Frydenlund, Gagandeep Singh, Frank Rudzicz:
Language Modelling via Learning to Rank. CoRR abs/2110.06961 (2021) - 2020
- [j14]Marwa Ismail, Virginia B. Hill, Volodymyr Statsevych, Evan Mason, Ramon Correa, Prateek Prasanna, Gagandeep Singh, Kaustav Bera, Rajat Thawani, Manmeet Ahluwalia, Anant Madabhushi, Pallavi Tiwari:
Can Tumor Location on Pre-treatment MRI Predict Likelihood of Pseudo-Progression vs. Tumor Recurrence in Glioblastoma? - A Feasibility Study. Frontiers Comput. Neurosci. 14: 563439 (2020) - [j13]Mehakpreet Singh, Randhir Singh, Sukhjit Singh, Gagandeep Singh, Gavin Walker:
Finite volume approximation of multidimensional aggregation population balance equation on triangular grid. Math. Comput. Simul. 172: 191-212 (2020) - [c13]Gagandeep Singh, Rahul Mahadik, William K. Mohanty, Aurobinda Routray:
Seismic Fault Analysis Using Curvature Attribute and Visual Saliency. IGARSS 2020: 2221-2224 - [i3]Marwa Ismail, Virginia B. Hill, Volodymyr Statsevych, Evan Mason, Ramon Correa, Prateek Prasanna, Gagandeep Singh, Kaustav Bera, Rajat Thawani, Anant Madabhushi, Manmeet Ahluwalia, Pallavi Tiwari:
Can tumor location on pre-treatment MRI predict likelihood of pseudo-progression versus tumor recurrence in Glioblastoma? A feasibility study. CoRR abs/2006.09483 (2020) - [i2]Joseph Bae, Saarthak Kapse, Gagandeep Singh, Tej Phatak, Jeremy Green, Nikhil Madan, Prateek Prasanna:
Predicting Mechanical Ventilation Requirement and Mortality in COVID-19 using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional Study. CoRR abs/2007.08028 (2020)
2010 – 2019
- 2018
- [j12]Gagandeep Singh, Amanjot Singh, Raman K. Verma, Rajiv Mall, Uzma Azeem:
Synthesis, biological evaluation and molecular docking studies of novel benzimidazole derivatives. Comput. Biol. Chem. 72: 45-52 (2018) - [j11]Manish Kesarwani, Akshar Kaul, Gagandeep Singh, Prasad M. Deshpande, Jayant R. Haritsa:
Collusion-Resistant Processing of SQL Range Predicates. Data Sci. Eng. 3(4): 323-340 (2018) - [j10]Gaurav Ameta, Gagandeep Singh, Joseph K. Davidson, Jami J. Shah:
Tolerance-Maps to Model Composite Positional Tolerancing for Patterns of Features. J. Comput. Inf. Sci. Eng. 18(3) (2018) - [c12]Gagandeep Singh, Akshar Kaul, Sameep Mehta:
Secure k-NN as a Service over Encrypted Data in Multi-User Setting. IEEE CLOUD 2018: 154-161 - [c11]Manish Kesarwani, Akshar Kaul, Gagandeep Singh, Prasad M. Deshpande, Jayant R. Haritsa:
Collusion-Resistant Processing of SQL Range Predicates. DASFAA (2) 2018: 211-227 - [c10]Manish Kesarwani, Akshar Kaul, Prasad Naldurg, Sikhar Patranabis, Gagandeep Singh, Sameep Mehta, Debdeep Mukhopadhyay:
Efficient Secure k-Nearest Neighbours over Encrypted Data. EDBT 2018: 564-575 - [c9]Fehmi Jaafar, Gagandeep Singh, Pavol Zavarsky:
An Analysis of Android Malware Behavior. QRS Companion 2018: 505-512 - [i1]Gagandeep Singh, Akshar Kaul, Sameep Mehta:
Secure k-NN as a Service Over Encrypted Data in Multi-User Setting. CoRR abs/1801.04725 (2018) - 2017
- [j9]Olga Scrivner, Gagandeep Singh, Sara E. Bouchard, Scott C. Hutcheson, Ben Fulton, Matthew R. Link, Katy Börner:
XD Metrics on Demand Value Analytics: Visualizing the Impact of Internal Information Technology Investments on External Funding, Publications, and Collaboration Networks. Frontiers Res. Metrics Anal. 2: 10 (2017) - [j8]Rahul Dhod, Gurmohan Singh, Gagandeep Singh, Manjit Kaur:
Low Cost GPS and GSM Based Navigational Aid for Visually Impaired People. Wirel. Pers. Commun. 92(4): 1575-1589 (2017) - [c8]Prateek Prasanna, Jhimli Mitra, Niha G. Beig, Sasan Partovi, Gagandeep Singh, Marco Pinho, Anant Madabhushi, Pallavi Tiwari:
Radiographic-Deformation and Textural Heterogeneity (r-DepTH): An Integrated Descriptor for Brain Tumor Prognosis. MICCAI (2) 2017: 459-467 - 2016
- [j7]Gagandeep Singh, U. C. Gupta, Mohan L. Chaudhry:
Detailed computational analysis of queueing-time distributions of the BMAP/G/1 queue using roots. J. Appl. Probab. 53(4): 1078-1097 (2016) - [j6]U. C. Gupta, Gagandeep Singh, M. L. Chaudhry:
An alternative method for computing system-length distributions of BMAP/R/1 and BMAP/D/1 queues using roots. Perform. Evaluation 95: 60-79 (2016) - [c7]Gagandeep Singh, Sandeep Kad:
Comparative Study of Watermarking an Image Using GA and BFO with GA and HBO Technique. ICTCS 2016: 5:1-5:5 - 2015
- [j5]Priyanka Das, Neelesh B. Mehta, Gagandeep Singh:
Novel Relay Selection Rules for Average Interference-Constrained Cognitive AF Relay Networks. IEEE Trans. Wirel. Commun. 14(8): 4304-4315 (2015) - [c6]G. Barath Shankar, Gagandeep Singh, Sanjay K. Bose, Wen-De Zhong:
Multicasting in wireless neworks using rateless codes and opportunistic routing. ICICS 2015: 1-5 - 2014
- [j4]Gagandeep Singh, U. C. Gupta, Mohan L. Chaudhry:
Analysis of queueing-time distributions for MAP/DN/1 queue. Int. J. Comput. Math. 91(9): 1911-1930 (2014) - [c5]Gagandeep Singh, Manish Shukla, Prabhakar Bhimalapuram, Kishore Kothapalli:
Implementation of Kirchhoff-Helmholtz transform on GPU for use in digital in-line holographic microscopy. COMPUTE 2014: 9:1-9:9 - [c4]Gagandeep Singh:
Demonstration of Improved Performance of a 4-Level DSEP to Enhance the Efficiency in Heterogeneous Wireless Sensor Networks. SocProS (1) 2014: 489-497 - 2013
- [j3]Gagandeep Singh, Hardeep Singh:
Effect of software evolution on metrics and applicability of Lehman's laws of software evolution. ACM SIGSOFT Softw. Eng. Notes 38(1): 1-7 (2013) - [j2]Gagandeep Singh:
Metrics for measuring the quality of object-oriented software. ACM SIGSOFT Softw. Eng. Notes 38(5): 1-5 (2013) - [c3]Gagandeep Singh, H. P. Singh, Anurag Sharma:
Comparative Analysis of Energy Efficient Protocols for Prolonged Life of Wireless Sensor Network. SocProS (2) 2013: 75-85 - 2012
- [j1]Gagandeep Singh, M. L. Chaudhry, U. C. Gupta:
Computing system-time and system-length distributions for MAP/D/1 queue using distributional Little's law. Perform. Evaluation 69(2): 102-118 (2012)
2000 – 2009
- 2008
- [c2]Malay Haldar, Gagandeep Singh, Saurabh Prabhakar, Basant Dwivedi, Antara Ghosh:
Construction of concrete verification models from C++. DAC 2008: 942-947 - 2007
- [c1]Gagandeep Singh, Yaduvir Singh:
Non-linear Behaviour Compensation and Optimal Control of SCR Using Fuzzy Logic Controller Assisted by Genetic Algorithm: A Case Study. IMECS 2007: 1542-1547
Coauthor Index
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