Amit Sethi

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 100

Top Venues

CoRR

ISBI

IEEE Trans. Medical Imaging

BIOSTEC (1)

Publications

Pranav Jeevan, Amit Sethi
Which Backbone to Use: A Resource-efficient Domain Specific Comparison for Computer Vision. CoRR (2024)
Pirzada Suhail, Amit Sethi
Network Inversion of Convolutional Neural Nets. CoRR (2024)
Pranav Jeevan, Akella Srinidhi, Pasunuri Prathiba, Amit Sethi
WaveMixSR: Resource-efficient Neural Network for Image Super-resolution. WACV (2024)
Pirzada Suhail, Supratik Chakraborty, Amit Sethi
Network Inversion of Binarised Neural Nets. CoRR (2024)
Sahar Almahfouz Nasser, Shashwat Pathak, Keshav Singhal, Mohit Meena, Nihar Gupte, Ananya Chinmaya, Prateek Garg, Amit Sethi
Utilizing Radiomic Features for Automated MRI Keypoint Detection: Enhancing Graph Applications. BIOSTEC (1) (2024)
Philippe Weitz, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo, Constance Boissin, Sonja Koivukoski, Aino Kuusela, Dusan Rasic, Yanbo Feng, Sandra Kristiane Sinius Pouplier, Abhinav Sharma, Kajsa Ledesma Eriksson, Stephanie Robertson, Christian Marzahl, Chandler D. Gatenbee, Alexander R. A. Anderson, Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller, Daniel Budelmann, Nick Weiss, Stefan Heldmann, Johannes Lotz, Jelmer M. Wolterink, Bruno De Santi, Abhijeet Patil, Amit Sethi, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Mahtab Farrokh, Neeraj Kumar, Russell Greiner, Leena Latonen, Anne-Vibeke Laenkholm, Johan Hartman, Pekka Ruusuvuori, Mattias Rantalainen
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue. Medical Image Anal. 97 (2024)
Amruta Parulekar, Utkarsh Kanwat, Ravi Kant Gupta, Medha Chippa, Thomas Jacob, Tripti Bameta, Swapnil Rane, Amit Sethi
Combining Datasets with Different Label Sets for Improved Nucleus Segmentation and Classification. BIOSTEC (1) (2024)
Shreyas Chandgothia, Ardhendu Sekhar, Amit Sethi
IFSENet : Harnessing Sparse Iterations for Interactive Few-shot Segmentation Excellence. CoRR (2024)
Pranav Jeevan, Nikhil Cherian Kurian, Amit Sethi
Magnification Invariant Medical Image Analysis: A Comparison of Convolutional Networks, Vision Transformers, and Token Mixers. BIOSTEC (1) (2024)
Akhila Krishna K, Ravi Kant Gupta, Pranav Jeevan, Amit Sethi
Advancing Gene Selection in Oncology: A Fusion of Deep Learning and Sparsity for Precision Gene Selection. CoRR (2024)
Sahar Almahfouz Nasser, Nihar Gupte, Amit Sethi
Reverse Knowledge Distillation: Training a Large Model using a Small One for Retinal Image Matching on Limited Data. WACV (2024)
Ardhendu Sekhar, Ravi Kant Gupta, Amit Sethi
Few-Shot Histopathology Image Classification: Evaluating State-of-the-Art Methods and Unveiling Performance Insights. BIOSTEC (1) (2024)
Ravi Kant Gupta, Shounak Das, Amit Sethi
Unsupervised Domain Adaptation for Medical Images with an Improved Combination of Losses. BIOSTEC (1) (2024)
Zhongao Sun, Alexander V. Khvostikov, Andrey S. Krylov, Amit Sethi, Ilya Mikhailov, Pavel Malkov
Joint Super-resolution and Tissue Patch Classification for Whole Slide Histological Images. Program. Comput. Softw. 50 (3) (2024)
Akhila Krishna K, Ravi Kant Gupta, Nikhil Cherian Kurian, Pranav Jeevan, Amit Sethi
Heterogeneous graphs model spatial relationships between biological entities for breast cancer diagnosis. CoRR (2023)
Sahar Almahfouz Nasser, Nihar Gupte, Amit Sethi
Reverse Knowledge Distillation: Training a Large Model using a Small One for Retinal Image Matching on Limited Data. CoRR (2023)
Nikhil Cherian Kurian, S. Varsha, Abhijit Patil, Shashikant Khade, Amit Sethi
Robust Semi-Supervised Learning for Histopathology Images Through Self-Supervision Guided Out-of-Distribution Scoring. BIBE (2023)
Chirag P, Mukta Wagle, Ravi Kant Gupta, Pranav Jeevan, Amit Sethi
CHATTY: Coupled Holistic Adversarial Transport Terms with Yield for Unsupervised Domain Adaptation. CoRR (2023)
Amruta Parulekar, Utkarsh Kanwat, Ravi Kant Gupta, Medha Chippa, Thomas Jacob, Tripti Bameta, Swapnil Rane, Amit Sethi
Combining Datasets with Different Label Sets for Improved Nucleus Segmentation and Classification. CoRR (2023)
Ravi Kant Gupta, Shivani Nandgaonkar, Nikhil Cherian Kurian, Tripti Bameta, Subhash Yadav, Rajiv Kumar Kaushal, Swapnil Rane, Amit Sethi
EGFR Mutation Prediction of Lung Biopsy Images Using Deep Learning. BIOIMAGING (2023)
Akhila Krishna K, Ravi Kant Gupta, Nikhil Cherian Kurian, Pranav Jeevan, Amit Sethi
Heterogeneous Graphs Model Spatial Relationship Between Biological Entities for Breast Cancer Diagnosis. GRAIL/OCELOT@MICCAI (2023)
Ravi Kant Gupta, Shounak Das, Amit Sethi
Domain-Adaptive Learning: Unsupervised Adaptation for Histology Images with Improved Loss Function Combination. CoRR (2023)
Pranav Jeevan, Akella Srinidhi, Pasunuri Prathiba, Amit Sethi
WaveMixSR: A Resource-efficient Neural Network for Image Super-resolution. CoRR (2023)
Philippe Weitz, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo, Constance Boissin, Sonja Koivukoski, Aino Kuusela, Dusan Rasic, Yanbo Feng, Sandra Kristiane Sinius Pouplier, Abhinav Sharma, Kajsa Ledesma Eriksson, Stephanie Robertson, Christian Marzahl, Chandler D. Gatenbee, Alexander R. A. Anderson, Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller, Daniel Budelmann, Nick Weiss, Stefan Heldmann, Johannes Lotz, Jelmer M. Wolterink, Bruno De Santi, Abhijeet Patil, Amit Sethi, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Mahtab Farrokh, Neeraj Kumar, Russell Greiner, Leena Latonen, Anne-Vibeke Laenkholm, Johan Hartman, Pekka Ruusuvuori, Mattias Rantalainen
The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue. CoRR (2023)
Sahar Almahfouz Nasser, Ashutosh Sharma, Anmol Saraf, Amruta Mahendra Parulekar, Purvi Haria, Amit Sethi
Transforming Breast Cancer Diagnosis: Towards Real-Time Ultrasound to Mammogram Conversion for Cost-Effective Diagnosis. CoRR (2023)
Pranav Jeevan, Nikhil Cherian Kurian, Amit Sethi
Magnification Invariant Medical Image Analysis: A Comparison of Convolutional Networks, Vision Transformers, and Token Mixers. CoRR (2023)
Sahar Almahfouz Nasser, Shashwat Pathak, Keshav Singhal, Mohit Meena, Nihar Gupte, Ananya Chinmaya, Prateek Garg, Amit Sethi
Utilizing Radiomic Feature Analysis For Automated MRI Keypoint Detection: Enhancing Graph Applications. CoRR (2023)
Tirupati Saketh Chandra, Sahar Almahfouz Nasser, Nikhil Cherian Kurian, Amit Sethi
Improving Mitosis Detection via UNet-Based Adversarial Domain Homogenizer. BIOIMAGING (2023)
Dharshan Sampath Kumar, Pranav Jeevan, Amit Sethi
Resource-efficient image inpainting. Tiny Papers @ ICLR (2023)
Sahar Almahfouz Nasser, Amit Sethi
Simulating Ultrasound Images from CT Scans. BIOIMAGING (2023)
Nikhil Cherian Kurian, S. Varsha, Abhijit Patil, Shashikant Khade, Amit Sethi
Robust Semi-Supervised Learning for Histopathology Images through Self-Supervision Guided Out-of-Distribution Scoring. CoRR (2023)
Pranav Jeevan, Dharshan Sampath Kumar, Amit Sethi
WavePaint: Resource-efficient Token-mixer for Self-supervised Inpainting. CoRR (2023)
Bibin Wilson, Rajiv Kumar, Narayanarao Bhogapurapu, Anand Singh, Amit Sethi
Deriving Surface Resistivity from Polarimetric SAR Data Using Dual-Input UNet. CoRR (2022)
Nikhil Cherian Kurian, S. Varsha, Akshay Bajpai, Sunil Patel, Amit Sethi
Improved Histology Image Classification under Label Noise Via Feature Aggregating Memory Banks. ISBI (2022)
Tirupati Saketh Chandr, Sahar Almahfouz Nasser, Nikhil Cherian Kurian, Amit Sethi
Improving Mitosis Detection Via UNet-based Adversarial Domain Homogenizer. CoRR (2022)
Pranav Jeevan, Kavitha Viswanathan, Amit Sethi
WaveMix-Lite: A Resource-efficient Neural Network for Image Analysis. CoRR (2022)
Pranav Jeevan, Amit Sethi
Resource-efficient Hybrid X-formers for Vision. WACV (2022)
Nikhil Cherian Kurian, Amit Lehan, Gregory Verghese, Nimish Dharamshi, Swati Meena, Mengyuan Li, Fangfang Liu, Cheryl Gillet, Swapnil Rane, Anita Grigoriadis, Amit Sethi
Deep Multi-Scale U-Net Architecture and Label-Noise Robust Training Strategies for Histopathological Image Segmentation. BIBE (2022)
Sahar Almahfouz Nasser, Nikhil Cherian Kurian, Mohit Meena, Saqib Shamsi, Amit Sethi
WSSAMNet: Weakly Supervised Semantic Attentive Medical Image Registration Network. BrainLes@MICCAI (2) (2022)
Bibin Wilson, Anand Singh, Amit Sethi
Shallow Water Bathymetry Survey Using an Autonomous Surface Vehicle. IGARSS (2022)
Harsh Shah, Thomas Jacob, Amruta Parulekar, Anjali Amarapurkar, Amit Sethi
Artificial Intelligence-based Eosinophil Counting in Gastrointestinal Biopsies. CoRR (2022)
Sahar Almahfouz Nasser, Nikhil Cherian Kurian, Saqib Shamsi, Mohit Meena, Amit Sethi
WSSAMNet: Weakly Supervised Semantic Attentive Medical Image Registration Network. CoRR (2022)
Bibin Wilson, Anand Singh, Amit Sethi
Appraisal of Resistivity Inversion Models With Convolutional Variational Encoder-Decoder Network. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Sahar Almahfouz Nasser, Saqib Shamsi, Valay Bundele, Bhavesh Garg, Amit Sethi
Perceptual cGAN for MRI Super-resolution. EMBC (2022)
Pranav Jeevan, Amit Sethi
WaveMix: Resource-efficient Token Mixing for Images. CoRR (2022)
Bibin Wilson, Anand Singh, Amit Sethi
Shallow Water Bathymetry Survey using an Autonomous Surface Vehicle. CoRR (2022)
Ruchika Verma, Neeraj Kumar, Abhijeet Patil, Nikhil Cherian Kurian, Swapnil Rane, Amit Sethi
Author's Reply to "MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge". IEEE Trans. Medical Imaging 41 (4) (2022)
Nikhil Cherian Kurian, Amit Lohan, Gregory Verghese, Nimish Dharamshi, Swati Meena, Mengyuan Li, Fangfang Liu, Cheryl Gillet, Swapnil Rane, Anita Grigoriadis, Amit Sethi
Deep Multi-Scale U-Net Architecture and Noise-Robust Training Strategies for Histopathological Image Segmentation. CoRR (2022)
Pranav Jeevan, Amit Sethi
Convolutional Xformers for Vision. CoRR (2022)
Sahar Almahfouz Nasser, Saqib Shamsi, Valay Bundele, Bhavesh Garg, Amit Sethi
Perceptual cGAN for MRI Super-resolution. CoRR (2022)
Abhijeet Patil, Mohd. Talha, Aniket Bhatia, Nikhil Cherian Kurian, Sammed Mangale, Sunil Patel, Amit Sethi
Fast, Self Supervised, Fully Convolutional Color Normalization Of H&E Stained Images. ISBI (2021)
Himanshu Pradeep Aswani, Abhiraj Sunil Kanse, Shubhang Bhatnagar, Amit Sethi
Memory Efficient Adaptive Attention For Multiple Domain Learning. CoRR (2021)
Ruchika Verma, Neeraj Kumar, Abhijeet Patil, Nikhil Cherian Kurian, Swapnil Rane, Simon Graham, Quoc Dang Vu, Mieke Zwager, Shan-e-Ahmed Raza, Nasir M. Rajpoot, Xiyi Wu, Huai Chen, Yijie Huang, Lisheng Wang, Hyun Jung, G. Thomas Brown, Yanling Liu, Shuolin Liu, Seyed Alireza Fatemi Jahromi, Ali Asghar Khani, Ehsan Montahaei, Mahdieh Soleymani Baghshah, Hamid Behroozi, Pavel Semkin, Alexandr Rassadin, Prasad Dutande, Romil Lodaya, Ujjwal Baid, Bhakti Baheti, Sanjay N. Talbar, Amirreza Mahbod, Rupert Ecker, Isabella Ellinger, Zhipeng Luo, Bin Dong, Zhengyu Xu, Yuehan Yao, Shuai Lv, Ming Feng, Kele Xu, Hasib Zunair, Abdessamad Ben Hamza, Steven M. Smiley, Tang-Kai Yin, Qi-Rui Fang, Shikhar Srivastava, Dwarikanath Mahapatra, Lubomira Trnavska, Hanyun Zhang, Priya Lakshmi Narayanan, Justin Law, Yinyin Yuan, Abhiroop Tejomay, Aditya Mitkari, Dinesh Koka, Vikas Ramachandra, Lata Kini, Amit Sethi
MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge. IEEE Trans. Medical Imaging 40 (12) (2021)
Nikhil Cherian Kurian, Amit Sethi, Anil Reddy Konduru, Abhishek Mahajan, Swapnil Ulhas Rane
A 2021 update on cancer image analytics with deep learning. WIREs Data Mining Knowl. Discov. 11 (4) (2021)
Nikhil Cherian Kurian, Gurparkash Singh, Poorvi Hebbar, Shreekanya Kodate, Swapnil Rane, Amit Sethi
Robust Classification of Histology Images Exploiting Adversarial Auto Encoders. EMBC (2021)
Sahar Almahfouz Nasser, Nikhil Cherian Kurian, Amit Sethi
Domain Generalisation for Mitosis Detection Exploting Preprocessing Homogenizers. MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Shubhang Bhatnagar, Sachin Goyal, Darshan Tank, Amit Sethi
PAL : Pretext-based Active Learning. BMVC (2021)
Pranav Jeevan, Amit Sethi
Vision Xformers: Efficient Attention for Image Classification. CoRR (2021)
Nikhil Cherian Kurian, Pragati Shuddhodhan Meshram, Abhijeet Patil, Sunil Patel, Amit Sethi
Sample Specific Generalized Cross Entropy for Robust Histology Image Classification. ISBI (2021)
Himanshu Pradeep Aswani, Amit Sethi
Activation Functions: Do They Represent A Trade-Off Between Modular Nature of Neural Networks And Task Performance. CoRR (2020)
Mookund Sureka, Abhijeet Patil, Deepak Anand, Amit Sethi
Visualization for Histopathology Images using Graph Convolutional Neural Networks. BIBE (2020)
Deepak Anand, Gaurav Patel, Yaman Dang, Amit Sethi
Switching Loss for Generalized Nucleus Detection in Histopathology. CoRR (2020)
Deepak Anand, Darshan Tank, Harshvardhan Tibrewal, Amit Sethi
Self-Supervision vs. Transfer Learning: Robust Biomedical Image Analysis Against Adversarial Attacks. ISBI (2020)
Mukesh Kumar Vishal, Dipesh Tamboli, Abhijeet Patil, Rohit Saluja, Biplab Banerjee, Amit Sethi, Dhandapani Raju, Sudhir Kumar, Rabi Narayan Sahoo, Viswanathan Chinnusamy, J. Adinarayana
Image-based phenotyping of diverse Rice (Oryza Sativa L.) Genotypes. CoRR (2020)
Neeraj Kumar, Ruchika Verma, Deepak Anand, Yanning Zhou, Omer Fahri Onder, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng, Jiahui Li, Zhiqiang Hu, Yunzhi Wang, Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot, Xuhua Ren, Sihang Zhou, Qian Wang, Dinggang Shen, Cheng-Kun Yang, Chi-Hung Weng, Wei-Hsiang Yu, Chao-Yuan Yeh, Shuang Yang, Shuoyu Xu, Pak-Hei Yeung, Peng Sun, Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang, Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do, Simon Graham, Quoc Dang Vu, Jin Tae Kwak, Akshaykumar Gunda, Raviteja Chunduri, Corey Hu, Xiaoyang Zhou, Dariush Lotfi, Reza Safdari, Antanas Kascenas, Alison O'Neil, Dennis Eschweiler, Johannes Stegmaier, Yanping Cui, Baocai Yin, Kailin Chen, Xinmei Tian, Philipp Grüning, Erhardt Barth, Elad Arbel, Itay Remer, Amir Ben-Dor, Ekaterina Sirazitdinova, Matthias Kohl, Stefan Braunewell, Yuexiang Li, Xinpeng Xie, Linlin Shen, Jun Ma, Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M. Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Aníbal Pedraza, Maria Gloria Bueno, Sabarinathan Devanathan, Saravanan Radhakrishnan, Praveen Koduganty, Zihan Wu, Guanyu Cai, Xiaojie Liu, Yuqin Wang, Amit Sethi
A Multi-Organ Nucleus Segmentation Challenge. IEEE Trans. Medical Imaging 39 (5) (2020)
Bibin Wilson, Nikhil Cherian Kurian, Anand Singh, Amit Sethi
Satellite-Derived Bathymetry Using Deep Convolutional Neural Network. IGARSS (2020)
Mookund Sureka, Abhijeet Patil, Deepak Anand, Amit Sethi
Visualization for Histopathology Images using Graph Convolutional Neural Networks. CoRR (2020)
Shubhang Bhatnagar, Darshan Tank, Sachin Goyal, Amit Sethi
PAL : Pretext-based Active Learning. CoRR (2020)
Abhijeet Patil, Dipesh Tamboli, Swati Meena, Deepak Anand, Amit Sethi
Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning. CoRR (2020)
Hrushikesh Loya, Pranav Poduval, Deepak Anand, Neeraj Kumar, Amit Sethi
Uncertainty Estimation in Cancer Survival Prediction. CoRR (2020)
Deepak Anand, Shrey Gadiya, Amit Sethi
Histographs: graphs in histopathology. Medical Imaging: Digital Pathology (2020)
Abhijeet Patil, Mohd. Talha, Aniket Bhatia, Nikhil Cherian Kurian, Sammed Mangale, Sunil Patel, Amit Sethi
Fast, Self Supervised, Fully Convolutional Color Normalization of H&E Stained Images. CoRR (2020)
Pranav Poduval, Hrushikesh Loya, Amit Sethi
Functional Space Variational Inference for Uncertainty Estimation in Computer Aided Diagnosis. CoRR (2020)
Yaman Dang, Deepak Anand, Amit Sethi
Pixel-wise Segmentation of Right Ventricle of Heart. CoRR (2019)
Viraf Patrawala, Nikhil Cherian Kurian, Amit Sethi
Improving Histopathology Classification using Learnable Preprocessing. TENCON (2019)
Neeraj Kumar, Phani Krishna Uppala, Karthik Duddu, Hari Sreedhar, Vishal K. Varma, Grace Guzman, Michael J. Walsh, Amit Sethi
Hyperspectral Tissue Image Segmentation Using Semi-Supervised NMF and Hierarchical Clustering. IEEE Trans. Medical Imaging 38 (5) (2019)
Safaa Eldeeb, Murat Akçakaya, Matthew Sybeldon, Stephen T. Foldes, Emiliano Santarnecchi, Alvaro Pascual-Leone, Amit Sethi
EEG-based functional connectivity to analyze motor recovery after stroke: A pilot study. Biomed. Signal Process. Control. 49 (2019)
Yaman Dang, Deepak Anand, Amit Sethi
Pixel-wise Segmentation of Right Ventricle of Heart. TENCON (2019)
Goutham Ramakrishnan, Deepak Anand, Amit Sethi
Fast GPU-Enabled Color Normalization for Digital Pathology. CoRR (2019)
Kumar Yashashwi, Amit Sethi, Prasanna Chaporkar
A Learnable Distortion Correction Module for Modulation Recognition. IEEE Wirel. Commun. Lett. 8 (1) (2019)
Deepak Anand, Goutham Ramakrishnan, Amit Sethi
Fast GPU-Enabled Color Normalization for Digital Pathology. IWSSIP (2019)
Shrey Gadiya, Deepak Anand, Amit Sethi
Histographs: Graphs in Histopathology. CoRR (2019)
Shrey Gadiya, Deepak Anand, Amit Sethi
Some New Layer Architectures for Graph CNN. CoRR (2018)
Neeraj Kumar, Amit Sethi
Super Resolution by Comprehensively Exploiting Dependencies of Wavelet Coefficients. IEEE Trans. Multim. 20 (2) (2018)
Aditya Golatkar, Deepak Anand, Amit Sethi
Classification of Breast Cancer Histology using Deep Learning. CoRR (2018)
Aditya Golatkar, Deepak Anand, Amit Sethi
Classification of Breast Cancer Histology Using Deep Learning. ICIAR (2018)
Lingdao Sha, Dan Schonfeld, Amit Sethi
Color normalization of histology slides using graph regularized sparse NMF. Medical Imaging: Digital Pathology (2017)
Neeraj Kumar, Ruchika Verma, Ashish Arora, Abhay Kumar, Sanchit Gupta, Amit Sethi, Peter H. Gann
Convolutional neural networks for prostate cancer recurrence prediction. Medical Imaging: Digital Pathology (2017)
Kothapalli Vignesh, Gaurav Kumar Yadav, Amit Sethi
Abnormal Event Detection on BMTT-PETS 2017 Surveillance Challenge. CVPR Workshops (2017)
Neeraj Kumar, Ruchika Verma, Sanuj Sharma, Surabhi Bhargava, Abhishek Vahadane, Amit Sethi
A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology. IEEE Trans. Medical Imaging 36 (7) (2017)
Gaurav Kumar Yadav, Amit Sethi
Action recognition using spatio-temporal differential motion. ICIP (2017)
Neeraj Kumar, Ruchika Verma, Amit Sethi
Convolutional neural networks for wavelet domain super resolution. Pattern Recognit. Lett. 90 (2017)
Abhishek Vahadane, Tingying Peng, Amit Sethi, Shadi Albarqouni, Lichao Wang, Maximilian Baust, Katja Steiger, Anna Melissa Schlitter, Irene Esposito, Nassir Navab
Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images. IEEE Trans. Medical Imaging 35 (8) (2016)
Abhishek Vahadane, Neeraj Kumar, Amit Sethi
Learning based super-resolution of histological images. ISBI (2016)
Gaurav Kumar Yadav, Prakhar Shukla, Amit Sethi
Action recognition using interest points capturing differential motion information. ICASSP (2016)
Ruchika Verma, Neeraj Kumar, Amit Sethi, Peter H. Gann
Detecting multiple sub-types of breast cancer in a single patient. ICIP (2016)
Neeraj Kumar, Amit Sethi
Fast Learning-Based Single Image Super-Resolution. IEEE Trans. Multim. 18 (8) (2016)
Abhishek Vahadane, Tingying Peng, Shadi Albarqouni, Maximilian Baust, Katja Steiger, Anna Melissa Schlitter, Amit Sethi, Irene Esposito, Nassir Navab
Structure-preserved color normalization for histological images. ISBI (2015)
Neeraj Kumar, Amit Sethi
On spatial neighborhood of patch-based super resolution. ICIP (2015)
Neeraj Kumar, Ranti Dev Sharma, Animesh Karmakar, Amit Sethi
Deep Learning-Based Image Kernel for Inductive Transfer. CoRR (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Amit Sethi