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ORCIDRavi Kant Gupta
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Conference and Workshop Papers
- 2024
[c5]Ravi Kant Gupta, Shounak Das, Amit Sethi:
Unsupervised Domain Adaptation for Medical Images with an Improved Combination of Losses. BIOSTEC (1) 2024: 205-215- [c4]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: 244-253 - [c3]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: 281-288 - 2023
- [c2]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: 102-109 - [c1]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: 97-106
Informal and Other Publications
- 2024
- [i7]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 abs/2403.01927 (2024) - [i6]Ardhendu Sekhar, Ravi Kant Gupta, Amit Sethi:
Few-Shot Histopathology Image Classification: Evaluating State-of-the-Art Methods and Unveiling Performance Insights. CoRR abs/2408.13816 (2024) - [i5]Ardhendu Sekhar, Vrinda Goel, Garima Jain, Abhijeet Patil, Ravi Kant Gupta, Amit Sethi:
HER2 and FISH Status Prediction in Breast Biopsy H&E-Stained Images Using Deep Learning. CoRR abs/2408.13818 (2024) - 2023
- [i4]Chirag P, Mukta Wagle, Ravi Kant Gupta, Pranav Jeevan, Amit Sethi:
CHATTY: Coupled Holistic Adversarial Transport Terms with Yield for Unsupervised Domain Adaptation. CoRR abs/2304.09623 (2023) - [i3]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 abs/2307.08132 (2023) - [i2]Ravi Kant Gupta, Shounak Das, Amit Sethi:
Domain-Adaptive Learning: Unsupervised Adaptation for Histology Images with Improved Loss Function Combination. CoRR abs/2309.17172 (2023) - [i1]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 abs/2310.03346 (2023)
Coauthor Index
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