Dilip K. Prasad
Pragyan Banerjee,
Shivam Milind Akarte,
Prakhar Kumar,
Muhammad Shamsuzzaman,
Ankit Butola,
Krishna Agarwal
et al.:
High-resolution imaging in acoustic microscopy using deep learning
Machine Learning: Science and Technology 2024 DOI
Hui Xue,
Øyvind Haugseggen,
Johan-Fredrik Røds,
Bjørn-Morten Erdal Batalden,
Dilip Kumar Prasad
:
Assessment of stress levels based on biosignal during the simulator-based maritime navigation training and its impact on sailing route reliability
Transportation Research Interdisciplinary Perspectives (TRIP) 2024 DOI
Abhinanda Ranjit Punnakkal,
Suyog Sakhahari Jadhav,
Krishna Agarwal,
Ludwig Alexander Horsch,
Dilip Kumar Prasad
:
MiShape: 3D Shape Modelling of Mitochondria in Microscopy
arXiv.org 2023 DOI
Rohit Agarwal,
Ankit Butola,
Ludwig Alexander Horsch,
Dilip Kumar Prasad,
Krishna Agarwal
:
Taxonomy of hybridly polarized Stokes vortex beams
arXiv.org 2023 DOI
Momojit Biswas,
Himanshu Buckchash,
Dilip Kumar Prasad
:
pNNCLR: Stochastic Pseudo Neighborhoods for Contrastive Learning based Unsupervised Representation Learning Problems
arXiv.org 2023 DOI
Ayush Singh,
Yash Bhambhu,
Himanshu Buckchash,
Deepak Gupta,
Dilip Kumar Prasad
:
Latent Graph Attention for Enhanced Spatial Context
arXiv.org 2023 DOI
Rohit Agarwal,
Ludwig Alexander Horsch,
Dilip Kumar Prasad
:
Modelling Irregularly Sampled Time Series Without Imputation
arXiv.org 2023 DOI
Sunil Bhatt,
Ankit Butola,
Anand Kumar,
Pramila Thapa,
Akshay Joshi,
Suyog S. Jadhav
et al.:
Single-shot multispectral quantitative phase imaging of biological samples using deep learning
Pragyan Banerjee,
Sibasish Mishra,
Nitin Yadav,
Krishna Agarwal,
Frank Melandsø,
Dilip Kumar Prasad
et al.:
Image inpainting in acoustic microscopy
Rohit Agarwal,
Dilip Kumar Prasad,
Ludwig Alexander Horsch,
Deepak Kumar Gupta
:
Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts
Transactions on Machine Learning Research (TMLR) 2023 ARKIV
Gustav Godtliebsen,
Kenneth Bowitz Larsen,
Zambarlal Babanrao Bhujabal,
Ida Sundvor Opstad,
Mireia Nager Grifo,
Abhinanda Ranjit Punnakkal
et al.:
High-resolution visualization and assessment of basal and OXPHOS-induced mitophagy in H9c2 cardiomyoblasts
Rohit Agarwal,
Gyanendra Das,
Saksham Aggarwal,
Ludwig Alexander Horsch,
Dilip Kumar Prasad
:
Mabnet: Master Assistant Buddy Network With Hybrid Learning for Image Retrieval
Abhinanda Ranjit Punnakkal,
Gustav Godtliebsen,
Ayush Somani,
Sebastian Andres Acuna Maldonado,
Åsa birna Birgisdottir,
Dilip K. Prasad
et al.:
Analyzing Mitochondrial Morphology Through Simulation Supervised Learning
Ayush Somani,
Pragyan Banerjee,
Manu Rastogi,
Anowarul Habib,
Krishna Agarwal,
Dilip Kumar Prasad
:
Image Inpainting With Hypergraphs for Resolution Improvement in Scanning Acoustic Microscopy
Xinqiang Chen,
Xingyu Wu,
Dilip K. Prasad,
Bing Wu,
Octavian Postolache,
Yongsheng Yang
:
Pixel-Wise Ship Identification From Maritime Images via a Semantic Segmentation Model
IEEE Sensors Journal 2022 DOI
S Chattopadhyay,
Antoni Malachowski,
Jaya Kumari Swain,
Roy Ambli Dalmo,
Alexander Horsch,
Dilip K. Prasad
:
Mapping Functional Changes in the Embryonic Heart of Atlantic Salmon Post Viral Infection Using AI Technique
Proceedings of IEEE International Conference on Image Processing 2022 DOI
Chen Xie,
Deepu Rajan,
Dilip K. Prasad,
Chai Quek
:
An embedded deep fuzzy association model for learning and explanation
Applied Soft Computing 2022 DOI
Ayush Somani,
Arif Ahmed Sekh,
Ida Sundvor Opstad,
Åsa birna Birgisdottir,
Truls Myrmel,
Balpreet Singh Ahluwalia
et al.:
Virtual labeling of mitochondria in living cells using correlative imaging and physics-guided deep learning
Zicheng Liu,
Mayank Roy,
Dilip K. Prasad,
Krishna Agarwal
:
Physics-Guided Loss Functions Improve Deep Learning Performance in Inverse Scattering
Divij Singh,
Ayush Somani,
Alexander Horsch,
Dilip K. Prasad
:
Counterfactual Explainable Gastrointestinal and Colonoscopy Image Segmentation
Huixu Dong,
Jiadong Zhou,
Chen Qiu,
Dilip K. Prasad,
I-Ming Chen
:
Robotic Manipulations of Cylinders and Ellipsoids by Ellipse Detection With Domain Randomization
IEEE/ASME transactions on mechatronics 2022 DOI
Sumit Rai,
Arti Kumari,
Dilip K. Prasad
:
Client Selection in Federated Learning under Imperfections in Environment
S.W Jun,
Arif Ahmed Sekh,
Chai Quek,
Dilip K. Prasad
:
seMLP: Self-evolving Multi-layer Perceptron in Stock Trading Decision Making
Ayush Somani,
Divij Singh,
Alexander Horsch,
Dilip K. Prasad
:
T-MIS: Transparency Adaptation in Medical Image Segmentation
Nordic Machine Intelligence (NMI) 2021 DOI
Ayush Somani,
Arif Ahmed Sekh,
Ida Sundvor Opstad,
Åsa Birna Birgisdottir,
Truls Myrmel,
Balpreet Singh Ahluwalia
et al.:
Digital Staining of Mitochondria in Label-free Live-cell Microscopy
Springer 2021 DOI
Q.E. Zhe,
Arif Ahmed Sekh,
Chai Quek,
Dilip K. Prasad
:
Recurrent Self-evolving Takagi–Sugeno–Kan Fuzzy Neural Network (RST-FNN) based Type-2 Diabetic Modeling
Springer 2021 DOI
Arif Ahmed Sekh,
Ida Sundvor Opstad,
Gustav Godtliebsen,
Åsa Birna Birgisdottir,
Balpreet Singh Ahluwalia,
Krishna Agarwal
et al.:
Physics-based machine learning for subcellular segmentation in living cells
Deepa Joshi,
Ankit Butola,
Sheetal Raosaheb Kanade,
Dilip K. Prasad,
Mithra Amitha Mithra,
N.K. Singh
et al.:
Label-free non-invasive classification of rice seeds using optical coherence tomography assisted with deep neural network
Jeow Li Huan,
Arif Ahmed Sekh,
Chai Quek,
Dilip K. Prasad
:
Emotionally charged text classification with deep learning and sentiment semantic
Hui Xue,
Bjørn-Morten Batalden,
Puneet Sharma,
Jarle André Johansen,
Dilip K. Prasad
:
Biosignal-Based Driving Skill Classification Using Machine Learning: A Case Study of Maritime Navigation
Suyog Jadhav,
Sebastian Andres Acuña Maldonado,
Ida Sundvor Opstad,
Balpreet Singh Ahluwalia,
Krishna Agarwal,
Dilip K. Prasad
:
Artefact removal in ground truth deficient fluctuations-based nanoscopy images using deep learning
Huixu Dong,
Dilip K. Prasad,
I-Ming Chen
:
Object Pose Estimation via Pruned Hough Forest with Combined Split Schemes for Robotic Grasp
IEEE Transactions on Automation Science and Engineering 2021 DOI
Pranab Kanti Roy,
Hiranmoy Mondal,
Ashis Mallick,
Dilip K. Prasad
:
Inverse and efficiency of heat transfer convex fin with multiple nonlinearities
Soham Chattopadhyay,
Laila Zary,
Chai Quek,
Dilip K. Prasad
:
Motivation detection using EEG signal analysis by residual-in-residual convolutional neural network
Ratnabali Pal,
Arif Ahmed Sekh,
Debi Prosad Dogra,
Samarjit Kar,
Partha Pratim Roy,
Dilip K. Prasad
:
Topic-based Video Analysis: A Survey
Feng Liu,
Arif Ahmed Sekh,
Chai Quek,
Geok See Ng,
Dilip K. Prasad
:
RS-HeRR: a rough set-based Hebbian rule reduction neuro-fuzzy system
Mohammad Ashrafi,
Dilip K. Prasad,
Chai Quek
:
IT2-GSETSK: An evolving interval Type-II TSK fuzzy neural system for online modeling of noisy data
Arif Ahmed Sekh,
Ida Sundvor Opstad,
Åsa Birna Birgisdottir,
Truls Myrmel,
Balpreet Singh Ahluwalia,
Krishna Agarwal
et al.:
Learning nanoscale motion patterns of vesicles in living cells
Nirwan Banerjee,
Samir Malakar,
Deepak Kumar Gupta,
Alexander Horsch,
Dilip Kumar Prasad
:
Guided U-Net Aided Efficient Image Data Storing with Shape Preservation
Springer 2023
Ayush Somani,
Alexander Horsch,
Dilip K. Prasad
:
Interpretability in Deep Learning
Springer 2023
Rohit Agarwal,
Ludwig Alexander Horsch,
Dilip Kumar Prasad
:
Code - Modelling Irregularly Sampled Time Series Without Imputation
2023
Rohit Agarwal,
Ludwig Alexander Horsch,
Dilip Kumar Prasad
:
Code - MABNET: Master Assistant Buddy Network for Image Retrieval
2023
Huixu Dong,
Jiadong Zhou,
Chen Qiu,
Dilip K. Prasad,
I-Ming Chen
:
Learning-Based Ellipse Detection for Robotic Grasps of Cylinders and Ellipsoids
2022
Xinqiang Chen,
Xingyu Wu,
Dilip K. Prasad,
Bing Wu,
Octavian Postolache,
Yongsheng Yang
:
Corrections: Pixel-wise ship identification from maritime images via a semantic segmentation model (IEEE Sensors Journal (2022) 22:18 (18180-18191) DOI: 10.1109/JSEN.2022.3195959)
IEEE Sensors Journal 2022 DOI
Rohit Agarwal,
Krishna Agarwal,
Alexander Horsch,
Dilip K. Prasad
:
Auxiliary Network: Scalable and agile online learning for dynamic system with inconsistently available inputs
2022 ARKIV
Divij Singh,
Ayush Somani,
Alexander Horsch,
Dilip K. Prasad
:
Performance improvement in deep learning models for outdoor semantic segmentation for autonomous driving for unstructured environment
2021
Dilip K. Prasad
:
Physics based AI - 101
2021
Dilip K. Prasad
:
Performing physics-based AI for ground truth hard sub-cellular organelle segmentation using simulated expert
2021
SW Pang,
Chai Quek,
Dilip K. Prasad
:
GEMM-eMFIS (FRI/E): A Novel General Episodic Memory Mechanism for Fuzzy Neural Networks
Ayush Singh,
Ajay Bhave,
Dilip K. Prasad
:
Single image dehazing for a variety of haze scenarios using back projected pyramid network
2020 ARKIV
The 50 latest publications is shown on this page. See all publications in Cristin here →