Amit Sethi - RankMe

190 papers A* 7A 4B 6C 13Misc 2Journal 109Unranked 48

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BiPrompt: Bilateral Prompt Optimization for Visual and Textual Debiasing in Vision-Language Models. CoRR Sunny Gupta, Shounak Das, Amit Sethi
2026	J	`jnl`	FedHypeVAE: Federated Learning with Hypernetwork Generated Conditional VAEs for Differentially Private Embedding Sharing. CoRR Sunny Gupta, Amit Sethi
2026	A*	`conf`	Federated Cross-Modal Style-Aware Prompt Generation (Student Abstract). AAAI Suraj Prasad, Navyansh Mahla, Sunny Gupta, Amit Sethi
2026	A*	`conf`	Network Inversion for Uncertainty-Aware Out-of-Distribution Detection (Student Abstract). AAAI Pirzada Suhail, Rehna Afroz, Gouranga Bala, Amit Sethi
2026	A*	`conf`	Shortcut Learning Susceptibility in Vision Classifiers (Student Abstract). AAAI Pirzada Suhail, Vrinda Goel, Amit Sethi
2026	A*	`conf`	UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data (Student Abstract). AAAI Sunny Gupta, Nikita Jangid, Amit Sethi
2026	A*	`conf`	Weight Entropy-Maximised Evidential Metamodel for Uncertainty Quantification (Student Abstract). AAAI Gouranga Bala, Abhimanyu Chauhan, Amit Sethi
2025	J	`jnl`	A Cytology Dataset for Early Detection of Oral Squamous Cell Carcinoma. CoRR Garima Jain, Sanghamitra Pati, Mona Duggal, Amit Sethi, Abhijeet Patil, Gururaj Malekar, Nilesh Kowe, Jitender Kumar, Jatin Kashyap, Divyajeet Rout, Deepali, Hitesh, Nishi Halduniya, Sharat Kumar, Heena Tabassum, Rupinder Singh Dhaliwal, Sucheta Devi Khuraijam, Sushma Khuraijam, Sharmila Laishram, Simmi Kharb, Sunita Singh, K. Swaminadtan, Ranjana Solanki, Deepika Hemranjani, Shashank Nath Singh, Uma Handa, Manveen Kaur, Surinder Singhal, Shivani Kalhan, Rakesh Kumar Gupta, Ravi. S, D. Pavithra, Sunil Kumar Mahto, Arvind Kumar, Deepali Tirkey, Saurav Banerjee, L. Sreelakshmi
2025	J	`jnl`	A Mixture-of-Experts Framework with Log-Logistic Components for Survival Analysis on Histopathology Images. CoRR Ardhendu Sekhar, Vasu Soni, Keshav Aske, Shivam Madnoorkar, Pranav Jeevan, Amit Sethi
2025	J	`jnl`	A Surrogate Model for the Forward Design of Multi-layered Metasurface-based Radar Absorbing Structures. CoRR Vineetha Joy, Aditya Anand, Nidhi, Anshuman Kumar, Amit Sethi, Hema Singh
2025	J	`jnl`	Activation Matching for Explanation Generation. CoRR Pirzada Suhail, Aditya Anand, Amit Sethi
2025	—	`conf`	BAY-MED: Bayesian Approximation for Post-Hoc Uncertainty in Medical Imaging. ISBI Gouranga Bala, Abhimanyu Chauhan, Amit Sethi
2025	—	`conf`	Brain MRI Segmentation Using U-Net and SegNet: A Comparative Study Across Modalities with Robust Loss Functions. BIOSTEC (1) Gouranga Bala, Hiranmay Mondal, Amit Sethi
2025	—	`conf`	Deep Learning-Based Cosmetic Evaluation of Breast Cancer Conservative Treatment. ISBI Nihar Gupte, Ananya Chinmaya, Tanmay Jain, Sanket Potdar, Shreya Rane, Arushi Kawale, Naseera Syeda, Nimisha Sharma, Tabassum Wadasadawala, Amit Sethi
2025	J	`jnl`	Enhancing stroke recovery assessment: A machine learning approach to real-world hand function analysis. Int. J. Medical Informatics Janmesh Ukey, Christian Rogers, Scott Uhlrich, Murat Akçakaya, Amit Sethi
2025	—	`conf`	Evaluation Metric for Quality Control and Generative Models in Histopathology Images. ISBI Pranav Jeevan, Neeraj Nixon, Abhijeet Patil, Amit Sethi
2025	J	`jnl`	FANVID: A Benchmark for Face and License Plate Recognition in Low-Resolution Videos. CoRR Kavitha Viswanathan, Vrinda Goel, Shlesh Gholap, Devayan Ghosh, Madhav Gupta, Dhruvi Ganatra, Sanket Potdar, Amit Sethi
2025	J	`jnl`	FEDTAIL: Federated Long-Tailed Domain Generalization with Sharpness-Guided Gradient Matching. CoRR Sunny Gupta, Nikita Jangid, Shounak Das, Amit Sethi
2025	—	`conf`	FLD+: Data-Efficient Evaluation Metric for Generative Models. ICCVW Pranav Jeevan, Neeraj Nixon, Amit Sethi
2025	—	`conf`	FedAlign: Federated Domain Generalization with Cross-Client Feature Alignment. CVPR Workshops Sunny Gupta, Vinay Sutar, Varunav Singh, Amit Sethi
2025	J	`jnl`	FedAlign: Federated Domain Generalization with Cross-Client Feature Alignment. CoRR Sunny Gupta, Vinay Sutar, Varunav Singh, Amit Sethi
2025	—	`conf`	FedStein: Enhancing Multi-Domain Federated Learning Through James-Stein Estimator. AAAI Bridge Program Sunny Gupta, Nikita Jangid, Amit Sethi
2025	J	`jnl`	Federated Cross-Modal Style-Aware Prompt Generation. CoRR Suraj Prasad, Navyansh Mahla, Sunny Gupta, Amit Sethi
2025	—	`conf`	HER2 Status Prediction in Breast Cancer: A Weak Supervision and Contrastive Learning Approach on H&E Stains. ISBI Ardhendu Sekhar, Vrinda Goel, Garima Jain, Abhijeet Patil, Aditya Bhangale, Ravi Kant Gupta, Tripti Bameta, Swapnil Rane, Amit Sethi
2025	J	`jnl`	IDAL: Improved Domain Adaptive Learning for Natural Images Dataset. CoRR Ravi Kant Gupta, Shounak Das, Amit Sethi
2025	J	`jnl`	Low Resource Video Super-resolution using Memory and Residual Deformable Convolutions. CoRR Kavitha Viswanathan, Shashwat Pathak, Piyush Bharambe, Harsh Choudhary, Amit Sethi
2025	—	`conf`	Low-Resource Video Super-Resolution using Memory, Wavelets, and Deformable Convolutions. CVPR Workshops Kavitha Viswanathan, Amit Sethi, Shashwat Pathak, Piyush Bharambe, Harsh Choudhary
2025	J	`jnl`	Minimalist Explanation Generation and Circuit Discovery. CoRR Pirzada Suhail, Aditya Anand, Amit Sethi
2025	J	`jnl`	Mix, Align, Distil: Reliable Cross-Domain Atypical Mitosis Classification. CoRR Kaustubh Atey, Sameer Anand Jha, Gouranga Bala, Amit Sethi
2025	J	`jnl`	Network Inversion for Generating Confidently Classified Counterfeits. CoRR Pirzada Suhail, Amit Sethi
2025	J	`jnl`	Network Inversion for Uncertainty-Aware Out-of-Distribution Detection. CoRR Pirzada Suhail, Rehna Afroz, Amit Sethi
2025	A*	`conf`	Network Inversion of Convolutional Neural Nets (Student Abstract). AAAI Pirzada Suhail, Amit Sethi
2025	—	`conf`	Pathogen-X: A Cross-Modal Genomic Feature Trans-Align Network for Enhanced Survival Prediction from Histopathology Images. ISBI Akhila Krishna K, Nikhil Cherian Kurian, Abhijeet Patil, Amruta Parulekar, Pranav Jeevan, Amit Sethi
2025	J	`jnl`	Predicting Genetic Mutations from Single-Cell Bone Marrow Images in Acute Myeloid Leukemia Using Noise-Robust Deep Learning Models. CoRR Garima Jain, Ravi Kant Gupta, Priyansh Jain, Abhijeet Patil, Ardhendu Sekhar, Gajendra Smeeta, Sanghamitra Pati, Amit Sethi
2025	J	`jnl`	Privacy Preserving Properties of Vision Classifiers. CoRR Pirzada Suhail, Amit Sethi
2025	J	`jnl`	Scalable Whole Slide Image Representation Using K-Mean Clustering and Fisher Vector Aggregation. CoRR Ravi Kant Gupta, Shounak Das, Ardhendu Sekhar, Amit Sethi
2025	—	`conf`	Scalable Whole Slide Image Representation Using K-Means Clustering and Fisher Vector Aggregation. ISBI Ravi Kant Gupta, Shounak Das, Ardhendu Sekhar, Amit Sethi
2025	J	`jnl`	Shortcut Learning Susceptibility in Vision Classifiers. CoRR Pirzada Suhail, Amit Sethi
2025	C	`conf`	Softmax-Weighted Pseudo-Label Refinement for Enhancing Robustness Against Label Noise. BIBE Gouranga Bala, Anuj Gupta, Amit Sethi
2025	J	`jnl`	Survival Modeling from Whole Slide Images via Patch-Level Graph Clustering and Mixture Density Experts. CoRR Ardhendu Sekhar, Vasu Soni, Keshav Aske, Garima Jain, Pranav Jeevan, Amit Sethi
2025	J	`jnl`	TIE: A Training-Inversion-Exclusion Framework for Visually Interpretable and Uncertainty-Guided Out-of-Distribution Detection. CoRR Pirzada Suhail, Rehna Afroz, Amit Sethi
2025	J	`jnl`	UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data. CoRR Sunny Gupta, Nikita Jangid, Amit Sethi
2025	A*	`conf`	WaveMixSR-V2: Enhancing Super-resolution with Higher Efficiency (Student Abstract). AAAI Pranav Jeevan, Neeraj Nixon, Amit Sethi
2025	—	`conf`	WavePaint: Resource-Efficient Token-Mixer for Self-Supervised Inpainting. ICCVW Pranav Jeevan, Dharshan Sampath Kumar, Amit Sethi
2025	J	`jnl`	Which Backbone to Use: A Resource-efficient Domain Specific Comparison for Computer Vision. Trans. Mach. Learn. Res. Pranav Jeevan, Amit Sethi
2024	J	`jnl`	Advancing Gene Selection in Oncology: A Fusion of Deep Learning and Sparsity for Precision Gene Selection. CoRR Akhila Krishna K, Ravi Kant Gupta, Pranav Jeevan, Amit Sethi
2024	—	`conf`	Adversarial Transport Terms for Unsupervised Domain Adaptation. ICPR (2) Chirag P, Mukta Wagle, Ravi Kant Gupta, Pranav Jeevan, Amit Sethi
2024	J	`jnl`	Classification and Morphological Analysis of DLBCL Subtypes in H&E-Stained Slides. CoRR Ravi Kant Gupta, Mohit Jindal, Garima Jain, Epari Sridhar, Subhash Yadav, Hasmukh Jain, Tanuja Shet, Uma Sakhdeo, Manju Sengar, Lingaraj Nayak, Bhausaheb Bagal, Umesh Apkare, Amit Sethi
2024	C	`conf`	Classification and Morphological Analysis of Dlbcl Subtypes in H&E-Stained Slides. BIBE Ravi Kant Gupta, Mohit Jindal, Garima Jain, Epari Sridhar, Subhash Yadav, Hasmukh Jain, Tanuja Shet, Uma Sakhdeo, Manju Sengar, Lingaraj Nayak, Bhausaheb Bagal, Umesh Apkare, Amit Sethi
2024	C	`conf`	Clustered Patch Embeddings for Permutation-Invariant Classification of Whole Slide Images. BIBE Ravi Kant Gupta, Shounak Das, Amit Sethi
2024	J	`jnl`	Clustered Patch Embeddings for Permutation-Invariant Classification of Whole Slide Images. CoRR Ravi Kant Gupta, Shounak Das, Amit Sethi
2024	—	`conf`	Combining Datasets with Different Label Sets for Improved Nucleus Segmentation and Classification. BIOSTEC (1) Amruta Parulekar, Utkarsh Kanwat, Ravi Kant Gupta, Medha Chippa, Thomas Jacob, Tripti Bameta, Swapnil Rane, Amit Sethi
2024	J	`jnl`	Cross-Domain Evaluation of Few-Shot Classification Models: Natural Images vs. Histopathological Images. CoRR Ardhendu Sekhar, Aditya Bhattacharya, Vinayak Goyal, Vrinda Goel, Aditya Bhangale, Ravi Kant Gupta, Amit Sethi
2024	J	`jnl`	EDSNet: Efficient-DSNet for Video Summarization. CoRR Ashish Prasad, Pranav Jeevan, Amit Sethi
2024	J	`jnl`	Efficient Quality Control of Whole Slide Pathology Images with Human-in-the-loop Training. CoRR Abhijeet Patil, Harsh Diwakar, Jay Sawant, Nikhil Cherian Kurian, Subhash Yadav, Swapnil Rane, Tripti Bameta, Amit Sethi
2024	C	`conf`	Efficient Whole Slide Image Classification Through Fisher Vector Representation. BIBE Ravi Kant Gupta, Dadi Dharani, Shambhavi Shanker, Amit Sethi
2024	J	`jnl`	Efficient Whole Slide Image Classification through Fisher Vector Representation. CoRR Ravi Kant Gupta, Dadi Dharani, Shambhavi Shanker, Amit Sethi
2024	J	`jnl`	Evaluation Metric for Quality Control and Generative Models in Histopathology Images. CoRR Pranav Jeevan, Neeraj Nixon, Abhijeet Patil, Amit Sethi
2024	J	`jnl`	FLD+: Data-efficient Evaluation Metric for Generative Models. CoRR Pranav Jeevan, Neeraj Nixon, Amit Sethi
2024	B	`conf`	FLeNS: Federated Learning with Enhanced Nesterov-Newton Sketch. IEEE Big Data Sunny Gupta, Mohit Jindal, Pankhi Kashyap, Pranav Jeevan, Amit Sethi
2024	J	`jnl`	FLeNS: Federated Learning with Enhanced Nesterov-Newton Sketch. CoRR Sunny Gupta, Mohit Jindal, Pankhi Kashyap, Pranav Jeevan, Amit Sethi
2024	J	`jnl`	FedStein: Enhancing Multi-Domain Federated Learning Through James-Stein Estimator. CoRR Sunny Gupta, Nikita Jangid, Amit Sethi
2024	—	`conf`	Few-Shot Histopathology Image Classification: Evaluating State-of-the-Art Methods and Unveiling Performance Insights. BIOSTEC (1) Ardhendu Sekhar, Ravi Kant Gupta, Amit Sethi
2024	J	`jnl`	Few-Shot Histopathology Image Classification: Evaluating State-of-the-Art Methods and Unveiling Performance Insights. CoRR Ardhendu Sekhar, Ravi Kant Gupta, Amit Sethi
2024	J	`jnl`	HER2 and FISH Status Prediction in Breast Biopsy H&E-Stained Images Using Deep Learning. CoRR Ardhendu Sekhar, Vrinda Goel, Garima Jain, Abhijeet Patil, Ravi Kant Gupta, Amit Sethi
2024	C	`conf`	HER2 and Fish Status Prediction in Breast Biopsy H&E-Stained Images Using Deep Learning. BIBE Ardhendu Sekhar, Vrinda Goel, Garima Jain, Abhijeet Patil, Ravi Kant Gupta, Tripti Bameta, Swapnil Rane, Amit Sethi
2024	—	`conf`	IDAL: Improved Domain Adaptive Learning for Natural Images Dataset. ICPR (1) Ravi Kant Gupta, Shounak Das, Amit Sethi
2024	J	`jnl`	IFSENet : Harnessing Sparse Iterations for Interactive Few-shot Segmentation Excellence. CoRR Shreyas Chandgothia, Ardhendu Sekhar, Amit Sethi
2024	—	`conf`	IFSENet: Harnessing Sparse Iterations for Interactive Few-Shot Segmentation Excellence. ICPR (4) Shreyas Chandgothia, Ardhendu Sekhar, Amit Sethi
2024	J	`jnl`	Joint Super-resolution and Tissue Patch Classification for Whole Slide Histological Images. Program. Comput. Softw. Zhongao Sun, Alexander V. Khvostikov, Andrey S. Krylov, Amit Sethi, Ilya Mikhailov, Pavel Malkov
2024	—	`conf`	Magnification Invariant Medical Image Analysis: A Comparison of Convolutional Networks, Vision Transformers, and Token Mixers. BIOSTEC (1) Pranav Jeevan, Nikhil Cherian Kurian, Amit Sethi
2024	J	`jnl`	Mitigating Instance-Dependent Label Noise: Integrating Self-Supervised Pretraining with Pseudo-Label Refinement. CoRR Gouranga Bala, Anuj Gupta, Subrat Kumar Behera, Amit Sethi
2024	J	`jnl`	Network Inversion and Its Applications. CoRR Pirzada Suhail, Hao Tang, Amit Sethi
2024	J	`jnl`	Network Inversion for Training-Like Data Reconstruction. CoRR Pirzada Suhail, Amit Sethi
2024	J	`jnl`	Network Inversion of Binarised Neural Nets. CoRR Pirzada Suhail, Supratik Chakraborty, Amit Sethi
2024	J	`jnl`	Network Inversion of Convolutional Neural Nets. CoRR Pirzada Suhail, Amit Sethi
2024	J	`jnl`	Normalizing Flow-Based Metric for Image Generation. CoRR Pranav Jeevan, Neeraj Nixon, Amit Sethi
2024	J	`jnl`	PathoGen-X: A Cross-Modal Genomic Feature Trans-Align Network for Enhanced Survival Prediction from Histopathology Images. CoRR Akhila Krishna K, Nikhil Cherian Kurian, Abhijeet Patil, Amruta Parulekar, Amit Sethi
2024	A	`conf`	Reverse Knowledge Distillation: Training a Large Model using a Small One for Retinal Image Matching on Limited Data. WACV Sahar Almahfouz Nasser, Nihar Gupte, Amit Sethi
2024	J	`jnl`	Semantic Segmentation Based Quality Control of Histopathology Whole Slide Images. CoRR Abhijeet Patil, Garima Jain, Harsh Diwakar, Jay Sawant, Tripti Bameta, Swapnil Rane, Amit Sethi
2024	J	`jnl`	Sequential Compression Layers for Efficient Federated Learning in Foundational Models. CoRR Navyansh Mahla, Sunny Gupta, Amit Sethi
2024	J	`jnl`	The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue. Medical Image Anal. 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
2024	—	`conf`	Unsupervised Domain Adaptation for Medical Images with an Improved Combination of Losses. BIOSTEC (1) Ravi Kant Gupta, Shounak Das, Amit Sethi
2024	—	`conf`	Utilizing Radiomic Features for Automated MRI Keypoint Detection: Enhancing Graph Applications. BIOSTEC (1) Sahar Almahfouz Nasser, Shashwat Pathak, Keshav Singhal, Mohit Meena, Nihar Gupte, Ananya Chinmaya, Prateek Garg, Amit Sethi
2024	J	`jnl`	WaveMixSR-V2: Enhancing Super-resolution with Higher Efficiency. CoRR Pranav Jeevan, Neeraj Nixon, Amit Sethi
2024	A	`conf`	WaveMixSR: Resource-efficient Neural Network for Image Super-resolution. WACV Pranav Jeevan, Akella Srinidhi, Pasunuri Prathiba, Amit Sethi
2024	J	`jnl`	Which Backbone to Use: A Resource-efficient Domain Specific Comparison for Computer Vision. CoRR Pranav Jeevan, Amit Sethi
2023	J	`jnl`	CHATTY: Coupled Holistic Adversarial Transport Terms with Yield for Unsupervised Domain Adaptation. CoRR Chirag P, Mukta Wagle, Ravi Kant Gupta, Pranav Jeevan, Amit Sethi
2023	J	`jnl`	Combining Datasets with Different Label Sets for Improved Nucleus Segmentation and Classification. CoRR Amruta Parulekar, Utkarsh Kanwat, Ravi Kant Gupta, Medha Chippa, Thomas Jacob, Tripti Bameta, Swapnil Rane, Amit Sethi
2023	J	`jnl`	Domain-Adaptive Learning: Unsupervised Adaptation for Histology Images with Improved Loss Function Combination. CoRR Ravi Kant Gupta, Shounak Das, Amit Sethi
2023	—	`conf`	EGFR Mutation Prediction of Lung Biopsy Images Using Deep Learning. BIOIMAGING Ravi Kant Gupta, Shivani Nandgaonkar, Nikhil Cherian Kurian, Tripti Bameta, Subhash Yadav, Rajiv Kumar Kaushal, Swapnil Rane, Amit Sethi
2023	—	`conf`	Heterogeneous Graphs Model Spatial Relationship Between Biological Entities for Breast Cancer Diagnosis. GRAIL/OCELOT@MICCAI Akhila Krishna K, Ravi Kant Gupta, Nikhil Cherian Kurian, Pranav Jeevan, Amit Sethi
2023	J	`jnl`	Heterogeneous graphs model spatial relationships between biological entities for breast cancer diagnosis. CoRR Akhila Krishna K, Ravi Kant Gupta, Nikhil Cherian Kurian, Pranav Jeevan, Amit Sethi
2023	—	`conf`	Improving Mitosis Detection via UNet-Based Adversarial Domain Homogenizer. BIOIMAGING Tirupati Saketh Chandra, Sahar Almahfouz Nasser, Nikhil Cherian Kurian, Amit Sethi
2023	J	`jnl`	Magnification Invariant Medical Image Analysis: A Comparison of Convolutional Networks, Vision Transformers, and Token Mixers. CoRR Pranav Jeevan, Nikhil Cherian Kurian, Amit Sethi
2023	—	`conf`	Resource-efficient image inpainting. Tiny Papers @ ICLR Dharshan Sampath Kumar, Pranav Jeevan, Amit Sethi
2023	J	`jnl`	Reverse Knowledge Distillation: Training a Large Model using a Small One for Retinal Image Matching on Limited Data. CoRR Sahar Almahfouz Nasser, Nihar Gupte, Amit Sethi
2023	C	`conf`	Robust Semi-Supervised Learning for Histopathology Images Through Self-Supervision Guided Out-of-Distribution Scoring. BIBE Nikhil Cherian Kurian, S. Varsha, Abhijit Patil, Shashikant Khade, Amit Sethi
2023	J	`jnl`	Robust Semi-Supervised Learning for Histopathology Images through Self-Supervision Guided Out-of-Distribution Scoring. CoRR Nikhil Cherian Kurian, S. Varsha, Abhijit Patil, Shashikant Khade, Amit Sethi
2023	—	`conf`	Simulating Ultrasound Images from CT Scans. BIOIMAGING Sahar Almahfouz Nasser, Amit Sethi
2023	J	`jnl`	The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue. CoRR 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
2023	J	`jnl`	Transforming Breast Cancer Diagnosis: Towards Real-Time Ultrasound to Mammogram Conversion for Cost-Effective Diagnosis. CoRR Sahar Almahfouz Nasser, Ashutosh Sharma, Anmol Saraf, Amruta Mahendra Parulekar, Purvi Haria, Amit Sethi
2023	J	`jnl`	Utilizing Radiomic Feature Analysis For Automated MRI Keypoint Detection: Enhancing Graph Applications. CoRR Sahar Almahfouz Nasser, Shashwat Pathak, Keshav Singhal, Mohit Meena, Nihar Gupte, Ananya Chinmaya, Prateek Garg, Amit Sethi
2023	J	`jnl`	WaveMixSR: A Resource-efficient Neural Network for Image Super-resolution. CoRR Pranav Jeevan, Akella Srinidhi, Pasunuri Prathiba, Amit Sethi
2023	J	`jnl`	WavePaint: Resource-efficient Token-mixer for Self-supervised Inpainting. CoRR Pranav Jeevan, Dharshan Sampath Kumar, Amit Sethi
2022	J	`jnl`	Appraisal of Resistivity Inversion Models With Convolutional Variational Encoder-Decoder Network. IEEE Trans. Geosci. Remote. Sens. Bibin Wilson, Anand Singh, Amit Sethi
2022	J	`jnl`	Artificial Intelligence-based Eosinophil Counting in Gastrointestinal Biopsies. CoRR Harsh Shah, Thomas Jacob, Amruta Parulekar, Anjali Amarapurkar, Amit Sethi
2022	J	`jnl`	Author's Reply to "MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge". IEEE Trans. Medical Imaging Ruchika Verma, Neeraj Kumar, Abhijeet Patil, Nikhil Cherian Kurian, Swapnil Rane, Amit Sethi
2022	J	`jnl`	Convolutional Xformers for Vision. CoRR Pranav Jeevan, Amit Sethi
2022	C	`conf`	Deep Multi-Scale U-Net Architecture and Label-Noise Robust Training Strategies for Histopathological Image Segmentation. BIBE Nikhil Cherian Kurian, Amit Lehan, Gregory Verghese, Nimish Dharamshi, Swati Meena, Mengyuan Li, Fangfang Liu, Cheryl Gillet, Swapnil Rane, Anita Grigoriadis, Amit Sethi
2022	J	`jnl`	Deep Multi-Scale U-Net Architecture and Noise-Robust Training Strategies for Histopathological Image Segmentation. CoRR Nikhil Cherian Kurian, Amit Lohan, Gregory Verghese, Nimish Dharamshi, Swati Meena, Mengyuan Li, Fangfang Liu, Cheryl Gillet, Swapnil Rane, Anita Grigoriadis, Amit Sethi
2022	J	`jnl`	Deriving Surface Resistivity from Polarimetric SAR Data Using Dual-Input UNet. CoRR Bibin Wilson, Rajiv Kumar, Narayanarao Bhogapurapu, Anand Singh, Amit Sethi
2022	—	`conf`	Improved Histology Image Classification under Label Noise Via Feature Aggregating Memory Banks. ISBI Nikhil Cherian Kurian, S. Varsha, Akshay Bajpai, Sunil Patel, Amit Sethi
2022	J	`jnl`	Improving Mitosis Detection Via UNet-based Adversarial Domain Homogenizer. CoRR Tirupati Saketh Chandra, Sahar Almahfouz Nasser, Nikhil Cherian Kurian, Amit Sethi
2022	—	`conf`	Perceptual cGAN for MRI Super-resolution. EMBC Sahar Almahfouz Nasser, Saqib Shamsi, Valay Bundele, Bhavesh Garg, Amit Sethi
2022	J	`jnl`	Perceptual cGAN for MRI Super-resolution. CoRR Sahar Almahfouz Nasser, Saqib Shamsi, Valay Bundele, Bhavesh Garg, Amit Sethi
2022	A	`conf`	Resource-efficient Hybrid X-formers for Vision. WACV Pranav Jeevan, Amit Sethi
2022	C	`conf`	Shallow Water Bathymetry Survey Using an Autonomous Surface Vehicle. IGARSS Bibin Wilson, Anand Singh, Amit Sethi
2022	J	`jnl`	Shallow Water Bathymetry Survey using an Autonomous Surface Vehicle. CoRR Bibin Wilson, Anand Singh, Amit Sethi
2022	—	`conf`	WSSAMNet: Weakly Supervised Semantic Attentive Medical Image Registration Network. BrainLes@MICCAI (2) Sahar Almahfouz Nasser, Nikhil Cherian Kurian, Mohit Meena, Saqib Shamsi, Amit Sethi
2022	J	`jnl`	WSSAMNet: Weakly Supervised Semantic Attentive Medical Image Registration Network. CoRR Sahar Almahfouz Nasser, Nikhil Cherian Kurian, Saqib Shamsi, Mohit Meena, Amit Sethi
2022	J	`jnl`	WaveMix-Lite: A Resource-efficient Neural Network for Image Analysis. CoRR Pranav Jeevan, Kavitha Viswanathan, Amit Sethi
2022	J	`jnl`	WaveMix: Resource-efficient Token Mixing for Images. CoRR Pranav Jeevan, Amit Sethi
2021	J	`jnl`	A 2021 update on cancer image analytics with deep learning. WIREs Data Mining Knowl. Discov. Nikhil Cherian Kurian, Amit Sethi, Anil Reddy Konduru, Abhishek Mahajan, Swapnil Ulhas Rane
2021	—	`conf`	Domain Generalisation for Mitosis Detection Exploting Preprocessing Homogenizers. MIDOG/MOOD/Learn2Reg@MICCAI Sahar Almahfouz Nasser, Nikhil Cherian Kurian, Amit Sethi
2021	—	`conf`	Fast, Self Supervised, Fully Convolutional Color Normalization Of H&E Stained Images. ISBI Abhijeet Patil, Mohd. Talha, Aniket Bhatia, Nikhil Cherian Kurian, Sammed Mangale, Sunil Patel, Amit Sethi
2021	J	`jnl`	Memory Efficient Adaptive Attention For Multiple Domain Learning. CoRR Himanshu Pradeep Aswani, Abhiraj Sunil Kanse, Shubhang Bhatnagar, Amit Sethi
2021	J	`jnl`	MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge. IEEE Trans. Medical Imaging 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
2021	A	`conf`	PAL : Pretext-based Active Learning. BMVC Shubhang Bhatnagar, Sachin Goyal, Darshan Tank, Amit Sethi
2021	—	`conf`	Robust Classification of Histology Images Exploiting Adversarial Auto Encoders. EMBC Nikhil Cherian Kurian, Gurparkash Singh, Poorvi Hebbar, Shreekanya Kodate, Swapnil Rane, Amit Sethi
2021	—	`conf`	Sample Specific Generalized Cross Entropy for Robust Histology Image Classification. ISBI Nikhil Cherian Kurian, Pragati Shuddhodhan Meshram, Abhijeet Patil, Sunil Patel, Amit Sethi
2021	J	`jnl`	Vision Xformers: Efficient Attention for Image Classification. CoRR Pranav Jeevan, Amit Sethi
2020	J	`jnl`	A Multi-Organ Nucleus Segmentation Challenge. IEEE Trans. Medical Imaging 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
2020	J	`jnl`	Activation Functions: Do They Represent A Trade-Off Between Modular Nature of Neural Networks And Task Performance. CoRR Himanshu Pradeep Aswani, Amit Sethi
2020	J	`jnl`	Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning. CoRR Abhijeet Patil, Dipesh Tamboli, Swati Meena, Deepak Anand, Amit Sethi
2020	J	`jnl`	Fast, Self Supervised, Fully Convolutional Color Normalization of H&E Stained Images. CoRR Abhijeet Patil, Mohd. Talha, Aniket Bhatia, Nikhil Cherian Kurian, Sammed Mangale, Sunil Patel, Amit Sethi
2020	J	`jnl`	Functional Space Variational Inference for Uncertainty Estimation in Computer Aided Diagnosis. CoRR Pranav Poduval, Hrushikesh Loya, Amit Sethi
2020	—	`conf`	Histographs: graphs in histopathology. Digital Pathology Deepak Anand, Shrey Gadiya, Amit Sethi
2020	J	`jnl`	Image-based phenotyping of diverse Rice (Oryza Sativa L.) Genotypes. CoRR Mukesh Kumar Vishal, Dipesh Tamboli, Abhijeet Patil, Rohit Saluja, Biplab Banerjee, Amit Sethi, Raju Dhandapani, Sudhir Kumar, Rabi Narayan Sahoo, Viswanathan Chinnusamy, J. Adinarayana
2020	J	`jnl`	PAL : Pretext-based Active Learning. CoRR Shubhang Bhatnagar, Darshan Tank, Sachin Goyal, Amit Sethi
2020	C	`conf`	Satellite-Derived Bathymetry Using Deep Convolutional Neural Network. IGARSS Bibin Wilson, Nikhil Cherian Kurian, Anand Singh, Amit Sethi
2020	—	`conf`	Self-Supervision vs. Transfer Learning: Robust Biomedical Image Analysis Against Adversarial Attacks. ISBI Deepak Anand, Darshan Tank, Harshvardhan Tibrewal, Amit Sethi
2020	J	`jnl`	Switching Loss for Generalized Nucleus Detection in Histopathology. CoRR Deepak Anand, Gaurav Patel, Yaman Dang, Amit Sethi
2020	J	`jnl`	Uncertainty Estimation in Cancer Survival Prediction. CoRR Hrushikesh Loya, Pranav Poduval, Deepak Anand, Neeraj Kumar, Amit Sethi
2020	C	`conf`	Visualization for Histopathology Images using Graph Convolutional Neural Networks. BIBE Mookund Sureka, Abhijeet Patil, Deepak Anand, Amit Sethi
2020	J	`jnl`	Visualization for Histopathology Images using Graph Convolutional Neural Networks. CoRR Mookund Sureka, Abhijeet Patil, Deepak Anand, Amit Sethi
2019	J	`jnl`	A Learnable Distortion Correction Module for Modulation Recognition. IEEE Wirel. Commun. Lett. Kumar Yashashwi, Amit Sethi, Prasanna Chaporkar
2019	J	`jnl`	EEG-based functional connectivity to analyze motor recovery after stroke: A pilot study. Biomed. Signal Process. Control. Safaa Eldeeb, Murat Akçakaya, Matthew Sybeldon, Stephen T. Foldes, Emiliano Santarnecchi, Alvaro Pascual-Leone, Amit Sethi
2019	—	`conf`	Fast GPU-Enabled Color Normalization for Digital Pathology. IWSSIP Deepak Anand, Goutham Ramakrishnan, Amit Sethi
2019	J	`jnl`	Fast GPU-Enabled Color Normalization for Digital Pathology. CoRR Goutham Ramakrishnan, Deepak Anand, Amit Sethi
2019	J	`jnl`	Histographs: Graphs in Histopathology. CoRR Shrey Gadiya, Deepak Anand, Amit Sethi
2019	J	`jnl`	Hyperspectral Tissue Image Segmentation Using Semi-Supervised NMF and Hierarchical Clustering. IEEE Trans. Medical Imaging Neeraj Kumar, Phani Krishna Uppala, Karthik Duddu, Hari Sreedhar, Vishal K. Varma, Grace Guzman, Michael J. Walsh, Amit Sethi
2019	C	`conf`	Improving Histopathology Classification using Learnable Preprocessing. TENCON Viraf Patrawala, Nikhil Cherian Kurian, Amit Sethi
2019	C	`conf`	Pixel-wise Segmentation of Right Ventricle of Heart. TENCON Yaman Dang, Deepak Anand, Amit Sethi
2019	J	`jnl`	Pixel-wise Segmentation of Right Ventricle of Heart. CoRR Yaman Dang, Deepak Anand, Amit Sethi
2018	—	`conf`	Classification of Breast Cancer Histology Using Deep Learning. ICIAR Aditya Golatkar, Deepak Anand, Amit Sethi
2018	J	`jnl`	Classification of Breast Cancer Histology using Deep Learning. CoRR Aditya Golatkar, Deepak Anand, Amit Sethi
2018	J	`jnl`	Some New Layer Architectures for Graph CNN. CoRR Shrey Gadiya, Deepak Anand, Amit Sethi
2018	J	`jnl`	Super Resolution by Comprehensively Exploiting Dependencies of Wavelet Coefficients. IEEE Trans. Multim. Neeraj Kumar, Amit Sethi
2017	J	`jnl`	A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology. IEEE Trans. Medical Imaging Neeraj Kumar, Ruchika Verma, Sanuj Sharma, Surabhi Bhargava, Abhishek Vahadane, Amit Sethi
2017	—	`conf`	Abnormal Event Detection on BMTT-PETS 2017 Surveillance Challenge. CVPR Workshops Kothapalli Vignesh, Gaurav Kumar Yadav, Amit Sethi
2017	B	`conf`	Action recognition using spatio-temporal differential motion. ICIP Gaurav Kumar Yadav, Amit Sethi
2017	—	`conf`	Color normalization of histology slides using graph regularized sparse NMF. Digital Pathology Lingdao Sha, Dan Schonfeld, Amit Sethi
2017	—	`conf`	Convolutional neural networks for prostate cancer recurrence prediction. Digital Pathology Neeraj Kumar, Ruchika Verma, Ashish Arora, Abhay Kumar, Sanchit Gupta, Amit Sethi, Peter H. Gann
2017	J	`jnl`	Convolutional neural networks for wavelet domain super resolution. Pattern Recognit. Lett. Neeraj Kumar, Ruchika Verma, Amit Sethi
2016	Misc	`conf`	Action recognition using interest points capturing differential motion information. ICASSP Gaurav Kumar Yadav, Prakhar Shukla, Amit Sethi
2016	B	`conf`	Detecting multiple sub-types of breast cancer in a single patient. ICIP Ruchika Verma, Neeraj Kumar, Amit Sethi, Peter H. Gann
2016	J	`jnl`	Fast Learning-Based Single Image Super-Resolution. IEEE Trans. Multim. Neeraj Kumar, Amit Sethi
2016	—	`conf`	Learning based super-resolution of histological images. ISBI Abhishek Vahadane, Neeraj Kumar, Amit Sethi
2016	J	`jnl`	Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images. IEEE Trans. Medical Imaging Abhishek Vahadane, Tingying Peng, Amit Sethi, Shadi Albarqouni, Lichao Wang, Maximilian Baust, Katja Steiger, Anna Melissa Schlitter, Irene Esposito, Nassir Navab
2015	J	`jnl`	Deep Learning-Based Image Kernel for Inductive Transfer. CoRR Neeraj Kumar, Ranti Dev Sharma, Animesh Karmakar, Amit Sethi
2015	B	`conf`	On spatial neighborhood of patch-based super resolution. ICIP Neeraj Kumar, Amit Sethi
2015	—	`conf`	Structure-preserved color normalization for histological images. ISBI Abhishek Vahadane, Tingying Peng, Shadi Albarqouni, Maximilian Baust, Katja Steiger, Anna Melissa Schlitter, Amit Sethi, Irene Esposito, Nassir Navab
2014	—	`conf`	A Flow-based Interest Point Detector for Action Recognition in Videos. ICVGIP Gaurav Kumar Yadav, Amit Sethi
2014	—	`conf`	Interest Point Detection in Videos Using Long Point Trajectories. ICVGIP Rahul Nallamothu, T. Vineeth, Gaurav Kumar Yadav, Amit Sethi, Tony Jacob
2013	J	`jnl`	Maximum independent sets of the 120-cell and other regular polytopes. Ars Math. Contemp. Sean Debroni, Erin Delisle, Wendy J. Myrvold, Amit Sethi, Joseph Whitney, Jennifer Woodcock, Patrick W. Fowler, Benoit de La Vaissière, Michel Deza
2013	—	`conf`	Sports Video Classification from Multimodal Information Using Deep Neural Networks. AAAI Fall Symposia Devendra Singh Sachan, Umesh Tekwani, Amit Sethi
2013	C	`conf`	Towards generalized nuclear segmentation in histological images. BIBE Abhishek Vahadane, Amit Sethi
2013	Misc	`conf`	Unsupervised learning approach for abnormal event detection in surveillance video by revealing infrequent patterns. IVCNZ Tushar Sandhan, Amit Sethi, Tushar Srivastava, Jin Young Choi
2012	—	`conf`	An Efficient Neural Network Based Background Subtraction Method. BIC-TA (1) Naveen Kumar Rai, Shikha Chourasia, Amit Sethi
2012	B	`conf`	Learning to predict super resolution wavelet coefficients. ICPR Neeraj Kumar, Naveen Kumar Rai, Amit Sethi
2007	J	`jnl`	Event Detection Using "Variable Module Graphs" for Home Care Applications. EURASIP J. Adv. Signal Process. Amit Sethi, Mandar Rahurkar, Thomas S. Huang
2006	—	`—`	Interaction Between Modules in Learning Systems for Vision Applications Amit Sethi
2006	J	`jnl`	Robust Structure and Motion from Outlines of Smooth Curved Surfaces. IEEE Trans. Pattern Anal. Mach. Intell. Yasutaka Furukawa, Amit Sethi, Jean Ponce, David J. Kriegman
2005	—	`conf`	Variable module graphs: a framework for inference and learning in modular vision systems. ICIP (2) Amit Sethi, Mandar Rahurkar, Thomas S. Huang
2004	B	`conf`	A detection-based multiple object tracking method. ICIP Mei Han, Amit Sethi, Wei Hua, Yihong Gong
2004	J	`jnl`	Curve and Surface Duals and the Recognition of Curved 3D Objects from their Silhouettes. Int. J. Comput. Vis. Amit Sethi, David Renaudie, David J. Kriegman, Jean Ponce
2004	J	`jnl`	Key Recovery Method for CRT Implementation of RSA. IACR Cryptol. ePrint Arch. Matthew J. Campagna, Amit Sethi
2004	—	`conf`	Structure and Motion from Images of Smooth Textureless Objects. ECCV (2) Yasutaka Furukawa, Amit Sethi, Jean Ponce, David J. Kriegman
2002	—	`conf`	On Pencils of Tangent Planes and the Recognition of Smooth 3D Shapes from Silhouettes. ECCV (3) Svetlana Lazebnik, Amit Sethi, Cordelia Schmid, David J. Kriegman, Jean Ponce, Martial Hebert