A. Mukhopadhyay

Anirban Mukhopadhyay, Indrajit Saha, A. Mukhopadhyay, 2008, 2008 IEEE Region 10 and the Third international Conference on Industrial and Information Systems.

Improved Crisp and Fuzzy Clustering Techniques for Categorical Data

Anirban Mukhopadhyay, Indrajit Saha, A. Mukhopadhyay, 2008 .

Interactive approach to multiobjective genetic fuzzy clustering for satellite image segmentation

A. Mukhopadhyay, 2016, 2016 IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics Engineering (UPCON).

Unsupervised Pattern Classification for Categorical Data : A Two Stage Fuzzy Clustering Approach

U. Maulik, A. Mukhopadhyay, Indrajit Saha, 2009 .

Gene expression An improved algorithm for clustering gene expression data

S. Bandyopadhyay, U. Maulik, A. Mukhopadhyay, 2007 .

Discovering key transcriptomic regulators in pancreatic ductal adenocarcinoma using Dirichlet process Gaussian mixture model

A. Mukhopadhyay, Sumanta Ray, Lutfunnesa Khatun, 2020, Scientific Reports.

Application of a Novel Triclustering Method (δ-TRIMAX) to Mine 3D Gene Expression Data of Breast Cancer Cells

A. Mukhopadhyay, Martin Haubrock, Anirban Bhar, 2013 .

Genetic Algorithm Based Goal Programming Procedure for Solving Interval-Valued Multilevel Programming Problems

A. Mukhopadhyay, B. Pal, Papun Biswas, 2013 .

Analysis of surface folding patterns of diccols using the GPU-Optimized geodesic field estimate

S. Bhandarkar, Tianming Liu, Hanbo Chen, 2013 .

Solving a new variant of the capacitated maximal covering location problem with fuzzy coverage area using metaheuristic approaches

A. Mukhopadhyay, P. Mahapatra, Soumen Atta, 2022, Computers & Industrial Engineering.

MOSCFRA : A Genetic Approach for Simultanious Clustering and Gene Ranking

Nicolas Pasquier, U. Maulik, A. Mukhopadhyay, 2011 .

An improved genetic algorithm with local refinement for solving hierarchical single-allocation hub median facility location problem

A. Mukhopadhyay, A. Bhattacharjee, Arup Kumar Bhattacharjee, 2022, Soft Computing.

Minimization of SADMs in Unidirectional SONET/WDM Rings Using Genetic Algorithms

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2005, Handbook of Bioinspired Algorithms and Applications.

Task-agnostic Continual Hippocampus Segmentation for Smooth Population Shifts

A. Mukhopadhyay, Camila González, Amin Ranem, 2022, DART@MICCAI.

Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation

Wufeng Xue, Xin Yang, A. Mukhopadhyay, 2022, Medical Image Analysis.

Detecting respiratory motion artefacts for cardiovascular MRIs to ensure high-quality segmentation

A. Mukhopadhyay, I. Oksuz, Caner Ozer, 2022, STACOM@MICCAI.

Construction of Co-expression and Co-regulation Network with Differentially Expressed Genes in Bone Marrow Stem Cell Microarray Data

A. Mukhopadhyay, Bandana Barman, Paramita Biswas, 2015 .

Multiobjective Evolutionary Approach to Fuzzy Clustering of Microarray Data

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2007, Analysis of Biological Data: A Soft Computing Approach.

A review of computational approaches for analysis of hepatitis C virus-mediated liver diseases.

U. Maulik, A. Mukhopadhyay, Sumanta Ray, 2018, Briefings in functional genomics.

Deep variational graph autoencoders for novel host-directed therapy options against COVID-19

S. Bandyopadhyay, A. Mukhopadhyay, Sumanta Ray, 2022, Artificial Intelligence in Medicine.

Detection and Characterization of Intrinsic Symmetry of 3 D Shapes

S. Bhandarkar, F. Porikli, A. Mukhopadhyay, 2016 .

Improving robustness and calibration in ensembles with diversity regularization

Hendrik Alexander Mehrtens, A. Mukhopadhyay, Camila Gonz'alez, 2022, GCPR.

A game theory-based approach to fuzzy clustering for pixel classification in remote sensing imagery

U. Maulik, A. Mukhopadhyay, Srimanta Kundu, 2021, Soft Computing - A Fusion of Foundations, Methodologies and Applications.

Multi-objective uncapacitated facility location problem with customers’ preferences: Pareto-based and weighted sum GA-based approaches

A. Mukhopadhyay, Soumen Atta, Priya Ranjan Sinha Mahapatra, 2019, Soft Computing.

Studying Gene Ontological Significance of Differentially Expressed Genes in Human Pancreatic Stellate Cell

A. Mukhopadhyay, Bandana Barman, 2015 .

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015

Sotirios A. Tsaftaris, Marco Bevilacqua, Ilkay Oksuz, 2015, Lecture Notes in Computer Science.

Enrichment of laccase production by Phoma herbarum isolate KU4 under solid‐state fermentation by optimizing RSM coefficients using genetic algorithm

A. Mukhopadhyay, Rinku Debnath, Tanima Saha, 2021, Letters in applied microbiology.

EXCLUVIS: A MATLAB GUI Software for Comparative Study of Clustering and Visualization of Gene Expression Data pdf

Anirban Mukhopadhyay, Sudip Poddar, A. Mukhopadhyay, 2020, ArXiv.

MRI Brain Image Segmentation Using Interactive Multiobjective Evolutionary Approach

Anirban Mukhopadhyay, A. Mukhopadhyay, 2016 .

Predicting potential drug targets and repurposable drugs for COVID-19 via a deep generative model for graphs

Anirban Mukhopadhyay, Snehalika Lall, Sumanta Ray, 2020, 2007.02338.

Morphological Analysis of the Left Ventricular Endocardial Surface Using a Bag-of-Features Descriptor

Suchendra M. Bhandarkar, Anirban Mukhopadhyay, Szilard Voros, 2013, IEEE Journal of Biomedical and Health Informatics.

A multiobjective approach for identifying protein complexes and studying their association in multiple disorders

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2015, Algorithms for Molecular Biology.

A Multiobjective Go based Approach to Protein Complex Detection

Anirban Mukhopadhyay, Sumanta Ray, A. Mukhopadhyay, 2012 .

Multiobjective triclustering of time-series transcriptome data reveals key genes of biological processes

E. Wingender, A. Mukhopadhyay, Martin Haubrock, 2015, BMC Bioinformatics.

Coexpression and coregulation analysis of time-series gene expression data in estrogen-induced breast cancer cell

E. Wingender, S. Bandyopadhyay, U. Maulik, 2013, Algorithms for Molecular Biology.

δ-TRIMAX: Extracting Triclusters and Analysing Coregulation in Time Series Gene Expression Data

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2012, WABI.

An efficient implementation of iterative partial transcription for the traveling salesman problem

Anirban Mukhopadhyay, L. Darrell Whitley, Renato Tinós, 2021, GECCO.

GANs for Medical Image Analysis pdf

Nassir Navab, Arjan Kuijper, Shadi Albarqouni, 2018, Artif. Intell. Medicine.

Prediction of protein subcellular localization by incorporating multiobjective PSO-based feature subset selection into the general form of Chou’s PseAAC

U. Maulik, A. Mukhopadhyay, M. Mandal, 2015, Medical & Biological Engineering & Computing.

An Improved Minimum Redundancy Maximum Relevance Approach for Feature Selection in Gene Expression Data

Anirban Mukhopadhyay, Monalisa Mandal, A. Mukhopadhyay, 2013 .

Simulated annealing based automatic fuzzy clustering combined with ANN classification for analyzing microarray data

Ujjwal Maulik, Anirban Mukhopadhyay, U. Maulik, 2010, Comput. Oper. Res..

Incorporating fuzzy semantic similarity measure in detecting human protein complexes in PPI network: A multiobjective approach

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Coexpression and coregulation analysis of time-series gene expression data in estrogen-induced breast cancer cell

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2013, Algorithms for Molecular Biology.

Mining Quasi-Bicliques from HIV-1-Human Protein Interaction Network: A Multiobjective Biclustering Approach

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2013, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Multiobjective fuzzy biclustering in microarray data: Method and a new performance measure

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Finding Multiple Coherent Biclusters in Microarray Data Using Variable String Length Multiobjective Genetic Algorithm

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2009, IEEE Transactions on Information Technology in Biomedicine.

A Novel Coherence Measure for Discovering Scaling Biclusters from Gene Expression Data

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2009, J. Bioinform. Comput. Biol..

Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge

Alejandro F. Frangi, Sotirios A. Tsaftaris, Daniel Rueckert, 2018, IEEE Journal of Biomedical and Health Informatics.

A Survey and Comparative Study of Statistical Tests for Identifying Differential Expression from Microarray Data

Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, Saurav Mallik, 2014, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Biclustering-based association rule mining approach for predicting cancer-associated protein interactions.

Anirban Mukhopadhyay, Lopamudra Dey, A. Mukhopadhyay, 2019, IET systems biology.

Simultaneous Clustering and Gene Ranking: A Multiobjective Genetic Approach

Ujjwal Maulik, Anirban Mukhopadhyay, Nicolas Pasquier, 2010, CI 2010.

Machine Learning and Rule Mining Techniques in the Study of Gene Inactivation and RNA Interference

Ujjwal Maulik, Anirban Mukhopadhyay, Saurav Mallik, 2019, Modulating Gene Expression - Abridging the RNAi and CRISPR-Cas9 Technologies.

Pan-cancer classification by regularized multi-task learning

A. Mukhopadhyay, Sumanta Ray, S. M. M. Hossain, 2021, Scientific Reports.

A Survey of Multiobjective Evolutionary Algorithms for Data Mining: Part I

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2014, IEEE Transactions on Evolutionary Computation.

Gene-Expression-Based Cancer Subtypes Prediction Through Feature Selection and Transductive SVM

Ujjwal Maulik, Anirban Mukhopadhyay, Debasis Chakraborty, 2013, IEEE Transactions on Biomedical Engineering.

Discovery of MicroRNA markers: An SVM-based multiobjective feature selection approach

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2011, 2011 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

A review of in silico approaches for analysis and prediction of HIV-1-human protein-protein interactions

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2015, Briefings Bioinform..

i3PosNet: instrument pose estimation from X-ray in temporal bone surgery

Anirban Mukhopadhyay, David Kügler, Jannik Sehring, 2018, International Journal of Computer Assisted Radiology and Surgery.

Integrated analysis of gene expression and genome-wide DNA methylation for tumor prediction: An association rule mining-based approach

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2013, 2013 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

Identifying MicroRNA Markers From Expression Data: A Network Analysis Based Approach

Anirban Mukhopadhyay, Paramita Biswas, A. Mukhopadhyay, 2018 .

An efficient Riemannian statistical shape model using differential coordinates: With application to the classification of data from the Osteoarthritis Initiative

Christoph von Tycowicz, Anirban Mukhopadhyay, Stefan Zachow, 2018, Medical Image Anal..

A Graph-Based Approach for Finding the Dengue Infection Pathways in Humans Using Protein-Protein Interactions

Anirban Mukhopadhyay, Lopamudra Dey, A. Mukhopadhyay, 2020, J. Comput. Biol..

The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge

Jun Liu, Kuanquan Wang, B. MacIntosh, 2023, ArXiv.

A Survey of Multiobjective Evolutionary Clustering

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2015, ACM Comput. Surv..

Unsupervised Myocardial Segmentation for Cardiac BOLD

Sotirios A. Tsaftaris, Ilkay Oksuz, Anirban Mukhopadhyay, 2017, IEEE Transactions on Medical Imaging.

Addressing multi-label imbalance problem of surgical tool detection using CNN

Anirban Mukhopadhyay, Stefan Zachow, Manish Sahu, 2017, International Journal of Computer Assisted Radiology and Surgery.

Identifying Non-Redundant Gene Markers from Microarray Data: A Multiobjective Variable Length PSO-Based Approach

Anirban Mukhopadhyay, Monalisa Mandal, A. Mukhopadhyay, 2014, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A Graph-Theoretic Approach for Identifying Non-Redundant and Relevant Gene Markers from Microarray Data Using Multiobjective Binary PSO

Anirban Mukhopadhyay, Monalisa Mandal, A. Mukhopadhyay, 2014, PloS one.

A Survey on Shape-Constraint Deep Learning for Medical Image Segmentation pdf

Anirban Mukhopadhyay, Simon Bohlender, Ilkay Öksüz, 2021, IEEE Reviews in Biomedical Engineering.

Solving tool indexing problem using harmony search algorithm with harmony refinement

Anirban Mukhopadhyay, Priya Ranjan Sinha Mahapatra, Soumen Atta, 2018, Soft Comput..

Unsupervised Non-redundant Feature Selection: A Graph-Theoretic Approach

Anirban Mukhopadhyay, Monalisa Mandal, A. Mukhopadhyay, 2013 .

Identifying cancer-associated modules from microRNA co-expression networks: a multiobjective evolutionary approach

Anirban Mukhopadhyay, Paramita Biswas, A. Mukhopadhyay, 2020, Soft Computing.

A PSO-Based Approach for Pathway Marker Identification From Gene Expression Data

Anirban Mukhopadhyay, Monalisa Mandal, A. Mukhopadhyay, 2015, IEEE Transactions on NanoBioscience.

An Interactive Approach to Multiobjective Clustering of Gene Expression Patterns

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2013, IEEE Transactions on Biomedical Engineering.

Multiobjective Genetic Algorithm-Based Fuzzy Clustering of Categorical Attributes

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2009, IEEE Transactions on Evolutionary Computation.

Analysis of microarray data using multiobjective variable string length genetic fuzzy clustering

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2009, 2009 IEEE Congress on Evolutionary Computation.

A Novel Biclustering Approach to Association Rule Mining for Predicting HIV-1–Human Protein Interactions

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2012, PloS one.

Multiobjective PSO-based rank aggregation: Application in gene ranking from microarray data

Anirban Mukhopadhyay, Monalisa Mandal, A. Mukhopadhyay, 2017, Inf. Sci..

Habitat-Net: Segmentation of habitat images using deep learning

Anirban Mukhopadhyay, Arjan Kuijper, Jesse F. Abrams, 2018, bioRxiv.

Survey of Multiobjective Evolutionary Algorithms for Data Mining: Part II

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2014, IEEE Transactions on Evolutionary Computation.

A multiobjective approach to MR brain image segmentation

Ujjwal Maulik, Anirban Mukhopadhyay, U. Maulik, 2011, Appl. Soft Comput..

Exploration and Exploitation Without Mutation: Solving the Jump Function in \varTheta (n) Time

Anirban Mukhopadhyay, L. Darrell Whitley, Rachel Hirsch, 2018, PPSN.

Multiobjective Genetic Clustering for Pixel Classification in Remote Sensing Imagery

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2007, IEEE Transactions on Geoscience and Remote Sensing.

Solving maximal covering location problem using genetic algorithm with local refinement

Anirban Mukhopadhyay, Priya Ranjan Sinha Mahapatra, Soumen Atta, 2018, Soft Comput..

Machine Learning Approaches for Discriminating Bacterial and Viral Targeted Human Proteins

U. Maulik, A. Mukhopadhyay, Santasabuj Das, 2022, Processes.

Knee menisci segmentation using convolutional neural networks: data from the Osteoarthritis Initiative.

S Zachow, A. Mukhopadhyay, S. Zachow, 2018, Osteoarthritis and cartilage.

A New Approach for Association Rule Mining and Bi-clustering Using Formal Concept Analysis

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2012, MLDM.

Prediction of Protein Interactions on HIV-1-Human PPI Data using a Novel Closure-based Integrated Approach

Ujjwal Maulik, Anirban Mukhopadhyay, Nicolas Pasquier, 2012, BIOINFORMATICS.

Continual Hippocampus Segmentation with Transformers

A. Mukhopadhyay, Amin Ranem, Camila Gonz'alez, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Simulation-to-real domain adaptation with teacher–student learning for endoscopic instrument segmentation

A. Mukhopadhyay, S. Zachow, Manish Sahu, 2021, International Journal of Computer Assisted Radiology and Surgery.

Generative Adversarial Networks: A Primer for Radiologists.

I. Išgum, T. Leiner, A. Mukhopadhyay, 2021, Radiographics : a review publication of the Radiological Society of North America, Inc.

M3d-CAM: A PyTorch library to generate 3D data attention maps for medical deep learning pdf

Anirban Mukhopadhyay, Karol Gotkowski, Andreas Bucher, 2020, Bildverarbeitung für die Medizin.

Surgical phase recognition by learning phase transitions

A. Mukhopadhyay, S. Zachow, Manish Sahu, 2020 .

Tool and Phase recognition using contextual CNN features pdf

Anirban Mukhopadhyay, Stefan Zachow, Manish Sahu, 2016, ArXiv.

An application of genetic algorithm method for solving patrol manpower deployment problems through fuzzy goal programming in traffic management system: a case study

Anirban Mukhopadhyay, Bijay Baran Pal, Papun Biswas, 2012, Int. J. Bio Inspired Comput..

Adversarial Continual Learning for Multi-Domain Hippocampal Segmentation

Anirban Mukhopadhyay, Marius Memmel, Camila Gonzalez, 2021, DART/FAIR@MICCAI.

Efficient Two-stage Fuzzy Clustering of Microarray Gene Expression Data

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2006, 9th International Conference on Information Technology (ICIT'06).

A game theory-based approach to fuzzy clustering for pixel classification in remote sensing imagery

Ujjwal Maulik, Anirban Mukhopadhyay, Srimanta Kundu, 2021, Soft Comput..

Solving Uncapacitated Facility Location Problem Using Monkey Algorithm

Anirban Mukhopadhyay, Priya Ranjan Sinha Mahapatra, Soumen Atta, 2018 .

Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentation pdf

Anirban Mukhopadhyay, Karol Gotkowski, Camila Gonzalez, 2021, MICCAI.

A Review of Judgment Analysis Algorithms for Crowdsourced Opinions

Anirban Mukhopadhyay, Sujoy Chatterjee, Malay Bhattacharyya, 2020, IEEE Transactions on Knowledge and Data Engineering.

Network-Based Study Reveals Potential Infection Pathways of Hepatitis-C Leading to Various Diseases

Ujjwal Maulik, Anirban Mukhopadhyay, U. Maulik, 2014, PloS one.

Incorporating the type and direction information in predicting novel regulatory interactions between HIV-1 and human proteins using a biclustering approach

Ujjwal Maulik, Anirban Mukhopadhyay, Sumanta Ray, 2014, BMC Bioinformatics.

Multiobjective Genetic Algorithms for Clustering - Applications in Data Mining and Bioinformatics

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2011 .

An improved algorithm for clustering gene expression data

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2007, Bioinform..

Preservation affinity in consensus modules among stages of HIV-1 progression

A. Mukhopadhyay, Sumanta Ray, S. M. M. Hossain, 2017, BMC Bioinformatics.

Predicting annotated HIV-1-Human PPIs using a biclustering approach to association rule mining

S. Ray, A. Mukhopadhyay, U. Maulik, 2012, 2012 Third International Conference on Emerging Applications of Information Technology.

Identification of key immune regulatory genes in HIV-1 progression.

A. Mukhopadhyay, Sumanta Ray, Lutfunnesa Khatun, 2021, Gene.

Detecting Overlapping Gene Communities during Stomach Adenocarcinoma: A Discrete NMF-based Integrative Approach

A. Mukhopadhyay, Sumanta Ray, S. M. M. Hossain, 2020, 2020 IEEE International Conference on Advent Trends in Multidisciplinary Research and Innovation (ICATMRI).

Identification of Hub Genes and Key Modules in Stomach Adenocarcinoma Using nsNMF-Based Data Integration Technique

Anirban Mukhopadhyay, Sk Md Mosaddek Hossain, Sumanta Ray, 2019, 2019 International Conference on Information Technology (ICIT).

A comprehensive analysis on preservation patterns of gene co-expression networks during Alzheimer’s disease progression

A. Mukhopadhyay, Sumanta Ray, S. M. M. Hossain, 2017, BMC Bioinformatics.

Analyzing Prognosis Characteristics of Hepatitis C using a Biclustering Based Approach

Anirban Mukhopadhyay, Sumanta Ray, Sk Md Mosaddek Hossain, 2017 .

Toward an automatic preoperative pipeline for image-guided temporal bone surgery

Anirban Mukhopadhyay, Markus Bauer, Julia Kristin, 2019, International Journal of Computer Assisted Radiology and Surgery.

Planning nonlinear access paths for temporal bone surgery

Georgios Sakas, Anirban Mukhopadhyay, Johannes Fauser, 2018, International Journal of Computer Assisted Radiology and Surgery.

Ultra-High-Resolution CT of the Head and Neck with Deep Learning Reconstruction—Assessment of Image Quality and Radiation Exposure and Intraindividual Comparison with Normal-Resolution CT

A. Mukhopadhyay, B. Al-Nawas, C. Booz, 2023, Diagnostics.

Compact Genetic Algorithm-Based Feature Selection for Sequence-Based Prediction of Dengue–Human Protein Interactions

A. Mukhopadhyay, Lopamudra Dey, 2021, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Robust and Accurate Appearance Models Based on Joint Dictionary Learning Data from the Osteoarthritis Initiative - Data from the Osteoarthritis Initiative

Anirban Mukhopadhyay, Stefan Zachow, Hans Lamecker, 2016, Patch-MI@MICCAI.

Identification of infectious disease-associated host genes using machine learning techniques

U. Maulik, A. Mukhopadhyay, Santasabuj Das, 2019, BMC Bioinformatics.

A systems biology approach for identifying key genes and pathways of gastric cancer using microarray data

A. Mukhopadhyay, Lopamudra Dey, 2021 .

A Comparative Analysis of Different Regression Models on Predicting the Spread of Covid-19 in India

Ujjwal Maulik, Anirban Mukhopadhyay, Mrittika Chakraborty, 2020, 2020 IEEE 5th International Conference on Computing Communication and Automation (ICCCA).

Analyzing Large Gene Expression and Methylation Data Profiles Using StatBicRM: Statistical Biclustering-Based Rule Mining

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2015, PloS one.

Integrated Statistical and Rule-Mining Techniques for Dna Methylation and Gene Expression Data Analysis

Ujjwal Maulik, Anirban Mukhopadhyay, Saurav Mallik, 2013, J. Artif. Intell. Soft Comput. Res..

RANWAR: Rank-Based Weighted Association Rule Mining From Gene Expression and Methylation Data

Ujjwal Maulik, Anirban Mukhopadhyay, Saurav Mallik, 2015, IEEE Transactions on NanoBioscience.

A Weighted Rank aggregation approach towards crowd opinion analysis

Anirban Mukhopadhyay, Malay Bhattacharyya, Sujoy Chatterjee, 2018, Knowl. Based Syst..

Artificial intelligence for tumour tissue detection and histological regression grading in oesophageal adenocarcinomas: a retrospective algorithm development and validation study.

A. Mukhopadhyay, Y. Tolkach, F. Gebauer, 2023, The Lancet. Digital health.

Shape Analysis of the Left Ventricular Endocardial Surface and Its Application in Detecting Coronary Artery Disease

Suchendra M. Bhandarkar, Zhen Qian, Tianming Liu, 2011, FIMH.

Current Directions in Biomedical Engineering

Anirban Mukhopadhyay, Stefan Zachow, Angelika Szengel, 2020 .

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015

Sotirios A. Tsaftaris, Ilkay Öksüz, Marco Bevilacqua, 2015, Lecture Notes in Computer Science.

Solving Multi-Objective Hierarchical Hub Facility Location Problem Using GA-Based Approaches

A. Mukhopadhyay, A. Bhattacharjee, 2021, 2021 IEEE 18th India Council International Conference (INDICON).

Lifelong nnU-Net: a framework for standardized medical continual learning

A. Mukhopadhyay, Camila González, Amin Ranem, 2023, Scientific reports.

What is Wrong with Continual Learning in Medical Image Segmentation?

A. Mukhopadhyay, G. Sakas, Camila González, 2020, ArXiv.

Data-Driven Feature Learning for Myocardial Segmentation of CP-BOLD MRI

Sotirios A. Tsaftaris, Ilkay Öksüz, Marco Bevilacqua, 2015, FIMH.

Data-driven feature learning for myocardial registration and segmentation

Anirban Mukhopadhyay, Sotirios A. Tsaftaris, Ilkay Oksuz, 2021 .

Fuzzy association analysis for identifying climatic and socio-demographic factors impacting the spread of COVID-19

A. Mukhopadhyay, Sujoy Chatterjee, Deepmala Chakrabarty, 2021, Methods.

Endo-Sim2Real: Consistency learning-based domain adaptation for instrument segmentation pdf

Anirban Mukhopadhyay, Stefan Zachow, Manish Sahu, 2020, MICCAI.

How Reliable Are Out-of-Distribution Generalization Methods for Medical Image Segmentation?

Anirban Mukhopadhyay, Antoine Sanner, Camila Gonzalez, 2021, GCPR.

An improved method for identification of small non-coding RNAs in bacteria using support vector machine

A. Mukhopadhyay, Santasabuj Das, R. Barman, 2017, Scientific Reports.

Closing the loop for AI-ready radiology

Moon S Kim, F. Nensa, A. Mukhopadhyay, 2023, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren.

Simultaneous informative gene selection and clustering through multiobjective optimization

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2010, IEEE Congress on Evolutionary Computation.

Combining Pareto-optimal clusters using supervised learning for identifying co-expressed genes

S. Bandyopadhyay, U. Maulik, A. Mukhopadhyay, 2009, BMC Bioinformatics.

Practical uncertainty quantification for brain tumor segmentation

A. Mukhopadhyay, Camila González, Moritz Fuchs, 2022, MIDL.

Biharmonic density estimate: a scale-space descriptor for 3-D deformable surfaces

Suchendra M. Bhandarkar, Anirban Mukhopadhyay, S. Bhandarkar, 2017, Pattern Analysis and Applications.

Biharmonic density estimate — A scale space signature for deformable surfaces

Suchendra M. Bhandarkar, Anirban Mukhopadhyay, S. Bhandarkar, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Geometric analysis of shapes and its application to medical image analysis

Anirban Mukhopadhyay, A. Mukhopadhyay, 2014 .

Morphological Analysis of the Left Ventricular Endocardial Surface and Its Clinical Implications

Suchendra M. Bhandarkar, Tianming Liu, Zhen Qian, 2012, MICCAI.

Non-rigid shape correspondence and description using geodesic field estimate distribution

Hamid R. Arabnia, Suchendra M. Bhandarkar, Anirban Mukhopadhyay, 2012, SIGGRAPH '12.

Identification of Critical Host Targets for HCV Infection: A Systems Biology Approach

U. Maulik, A. Mukhopadhyay, Santasabuj Das, 2021, Transactions of the Indian National Academy of Engineering.

Genetic Algorithms and Multiobjective Optimization

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2011 .

GA based FGP Approach for Optimal Reactive Power Dispatch

Anirban Mukhopadhyay, Bijay Baran Pal, Papun Biswas, 2013 .

System biology approach to identify critical host genes for dengue infection

U. Maulik, A. Mukhopadhyay, Sagnik Sen, 2020, 2020 International Conference on Computer, Electrical & Communication Engineering (ICCECE).

Mining association rules from HIV-human protein interactions

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2010, 2010 International Conference on Systems in Medicine and Biology.

Federated Stain Normalization for Computational Pathology

A. Mukhopadhyay, Nicolas Wagner, Y. Tolkach, 2022, MICCAI.

Artificial intelligence-based tool for tumor detection and quantitative tissue analysis in colorectal specimens.

A. Mukhopadhyay, B. Schömig-Markiefka, J. Munkhdelger, 2023, Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc.

Gene Expression Data Analysis Using Multiobjective Clustering Improved with SVM Based Ensemble

Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, 2012, Silico Biol..

OF POSSIBLE

A. Mukhopadhyay, R. Parmar, S. Buxton, 2022 .

Identification of infectious disease-associated host genes using machine learning techniques

Ujjwal Maulik, Anirban Mukhopadhyay, Santasabuj Das, 2019, BMC Bioinformatics.

Disentanglement Enables Cross-Domain Hippocampus Segmentation pdf

Anirban Mukhopadhyay, John Kalkhof, Camila Gonz'alez, 2022, 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI).

AutoSNAP: Automatically Learning Neural Architectures for Instrument Pose Estimation

Arjan Kuijper, A. Mukhopadhyay, Marc Uecker, 2020, International Conference on Medical Image Computing and Computer-Assisted Intervention.

Partial rank aggregation using multiobjective genetic algorithm: Application in ranking genes

Anirban Mukhopadhyay, Monalisa Mandal, Sheuli Maity, 2015, 2015 Eighth International Conference on Advances in Pattern Recognition (ICAPR).

A PSO-based rank aggregation algorithm for ranking genes from microarray data

Anirban Mukhopadhyay, Monalisa Mandal, A. Mukhopadhyay, 2013, PCI '13.

Detecting Perturbation in Co-Expression Modules Associated with Different Stages of HIV-1 Progression: A Multi-objective Evolutionary Approach

Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, Sumanta Ray, 2014, 2014 Fourth International Conference of Emerging Applications of Information Technology.

An efficient Riemannian statistical shape model using differential coordinates: With application to the classification of data from the Osteoarthritis Initiative

A. Mukhopadhyay, S. Zachow, F. Ambellan, 2018, Medical Image Anal..

Unsupervised Myocardial Segmentation for Cardiac BOLD

S. Tsaftaris, A. Mukhopadhyay, R. Dharmakumar, 2017, IEEE Transactions on Medical Imaging.

i3Deep: Efficient 3D interactive segmentation with the nnU-Net

A. Mukhopadhyay, Camila González, Karol Gotkowski, 2022, MIDL.

M3D-NCA: Robust 3D Segmentation with Built-in Quality Control

A. Mukhopadhyay, John Kalkhof, 2023, MICCAI.

Med-NCA: Robust and Lightweight Segmentation with Neural Cellular Automata

A. Mukhopadhyay, John Kalkhof, Camila Gonz'alez, 2023, IPMI.

Towards improving fuzzy clustering using support vector machine: Application to gene expression data

Ujjwal Maulik, Anirban Mukhopadhyay, U. Maulik, 2009, Pattern Recognit..

Gene Expression-Based Prediction of Lung Cancer-Associated Protein-Protein Interactions

Anirban Mukhopadhyay, Lopamudra Dey, A. Mukhopadhyay, 2021, CICBA.

Unsupervised Pixel Classification in Satellite Imagery: A Two-stage Fuzzy Clustering Approach

Ujjwal Maulik, Anirban Mukhopadhyay, U. Maulik, 2008, Fundam. Informaticae.

Improving multi-objective clustering through support vector machine: Application to gene expression data

S. Bandyopadhyay, A. Mukhopadhyay, U. Maulik, 2008, TENCON 2008 - 2008 IEEE Region 10 Conference.

Detection and characterization of Intrinsic symmetry of 3D shapes

Suchendra M. Bhandarkar, Fatih Murat Porikli, Anirban Mukhopadhyay, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Detection and Characterization of Intrinsic Symmetry pdf

Suchendra M. Bhandarkar, Fatih Murat Porikli, Anirban Mukhopadhyay, 2013, ArXiv.

Unsupervised Pixel Classification in Satellite Imagery Using Multiobjective Fuzzy Clustering Combined With SVM Classifier

Ujjwal Maulik, Anirban Mukhopadhyay, U. Maulik, 2009, IEEE Transactions on Geoscience and Remote Sensing.

Predicting Protein Subcellular Localization: A Multiobjective PSO-based Feature Subset Selection from Amino Acid Sequence of Protein

Anirban Mukhopadhyay, Monalisa Mandal, A. Mukhopadhyay, 2014, 2014 International Conference on Information Technology.

Jointly Exploring Client Drift and Catastrophic Forgetting in Dynamic Learning

A. Mukhopadhyay, Camila González, Moritz Fuchs, 2023, ArXiv.

DCoSpect: A Novel Differentially Coexpressed Gene Module Detection Algorithm Using Spectral Clustering

Anirban Mukhopadhyay, Sumanta Ray, Sinchani Chakraborty, 2015, FICTA.

Deep Spectral Correspondence for Matching Disparate Image Pairs pdf

Shefali Srivastava, Suchendra M. Bhandarkar, Arun C. S. Kumar, 2018, ArXiv.

Joint geometric graph embedding for partial shape matching in images

Suchendra M. Bhandarkar, Arun C. S. Kumar, Anirban Mukhopadhyay, 2016, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV).

Solving Uncapacitated Facility Location Problem Using Heuristic Algorithms

Anirban Mukhopadhyay, Priya Ranjan Sinha Mahapatra, Soumen Atta, 2019, Int. J. Nat. Comput. Res..

HEX: a safe research framework for hybrid EMT X-ray navigation

A. Mukhopadhyay, B. Dorweiler, Henry J Krumb, 2023, International Journal of Computer Assisted Radiology and Surgery.

Multiobjective triclustering of time-series transcriptome data reveals key genes of biological processes

Anirban Mukhopadhyay, Edgar Wingender, Martin Haubrock, 2015, BMC Bioinformatics.

An efficient implementation of iterative partial transcription for the traveling salesman problem

L. D. Whitley, R. Tinós, A. Mukhopadhyay, 2021, GECCO.

Incorporating Gene Ontology Information in Gene Expression Data Clustering Using Multiobjective Evolutionary Optimization: Application in Yeast Cell Cycle Data

Anirban Mukhopadhyay, A. Mukhopadhyay, 2018, Multi-Objective Optimization.

Prediction of protein subcellular localization by incorporating multiobjective PSO-based feature subset selection into the general form of Chou’s PseAAC

Ujjwal Maulik, Anirban Mukhopadhyay, Monalisa Mandal, 2015, Medical & Biological Engineering & Computing.