Leon Flores

Array ( [id] => 20181740 [patent_doc_number] => 20250265698 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-08-21 [patent_title] => PROCESSING METHOD AND PROCESSING DEVICE USING SAME [patent_app_type] => utility [patent_app_number] => 18/857477 [patent_app_country] => US [patent_app_date] => 2023-04-19 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 3361 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -9 [patent_words_short_claim] => 66 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18857477 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18712209 [patent_doc_number] => 20230334842 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-10-19 [patent_title] => TRAINING INSTANCE SEGMENTATION NEURAL NETWORKS THROUGH CONTRASTIVE LEARNING [patent_app_type] => utility [patent_app_number] => 18/136252 [patent_app_country] => US [patent_app_date] => 2023-04-18 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10237 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 209 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18136252 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20152722 [patent_doc_number] => 20250252560 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-08-07 [patent_title] => MONITORING MEDICAL IMAGES USING A NEURAL NETWORK GENERATED IMAGE ASSESSMENT [patent_app_type] => utility [patent_app_number] => 18/855356 [patent_app_country] => US [patent_app_date] => 2023-04-07 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6882 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -12 [patent_words_short_claim] => 163 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18855356 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20455312 [patent_doc_number] => 12518367 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2026-01-06 [patent_title] => Defect classification of processed wafers [patent_app_type] => utility [patent_app_number] => 18/128487 [patent_app_country] => US [patent_app_date] => 2023-03-30 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 8 [patent_no_of_words] => 2231 [patent_no_of_claims] => 18 [patent_no_of_ind_claims] => 4 [patent_words_short_claim] => 154 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18128487 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19483314 [patent_doc_number] => 20240331356 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-10-03 [patent_title] => GENERATING IMAGES FOR NEURAL NETWORK TRAINING [patent_app_type] => utility [patent_app_number] => 18/191845 [patent_app_country] => US [patent_app_date] => 2023-03-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8648 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 93 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18191845 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20317731 [patent_doc_number] => 12456285 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-10-28 [patent_title] => Learning model generating method and inspection device [patent_app_type] => utility [patent_app_number] => 18/191269 [patent_app_country] => US [patent_app_date] => 2023-03-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 7 [patent_no_of_words] => 1363 [patent_no_of_claims] => 7 [patent_no_of_ind_claims] => 1 [patent_words_short_claim] => 223 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18191269 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19467289 [patent_doc_number] => 20240320959 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-09-26 [patent_title] => INSTANCE-AWARE REPEAT FACTOR SAMPLING METHOD FOR IMBALANCED DATA IN OBJECT DETECTION [patent_app_type] => utility [patent_app_number] => 18/189679 [patent_app_country] => US [patent_app_date] => 2023-03-24 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 3536 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 131 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18189679 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20062624 [patent_doc_number] => 20250200846 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-06-19 [patent_title] => IMAGE GENERATION SYSTEM, IMAGE GENERATION METHOD, AND PROGRAM [patent_app_type] => utility [patent_app_number] => 18/846583 [patent_app_country] => US [patent_app_date] => 2023-03-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7919 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -13 [patent_words_short_claim] => 107 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18846583 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18532767 [patent_doc_number] => 20230237841 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-07-27 [patent_title] => Occlusion Detection [patent_app_type] => utility [patent_app_number] => 18/124166 [patent_app_country] => US [patent_app_date] => 2023-03-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7230 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 121 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18124166 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20088056 [patent_doc_number] => 20250217992 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-07-03 [patent_title] => SYSTEM AND METHOD FOR AUTOMATIC SEGMENTATION AND REGISTRATION OF THE CARDIAC MYOCARDIUM [patent_app_type] => utility [patent_app_number] => 18/846582 [patent_app_country] => US [patent_app_date] => 2023-03-14 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 1150 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -16 [patent_words_short_claim] => 96 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18846582 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20203705 [patent_doc_number] => 12406488 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-09-02 [patent_title] => Neural network model training method, image processing method, and apparatus [patent_app_type] => utility [patent_app_number] => 18/180978 [patent_app_country] => US [patent_app_date] => 2023-03-09 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 11 [patent_figures_cnt] => 16 [patent_no_of_words] => 25325 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 249 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18180978 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18905465 [patent_doc_number] => 20240020950 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-01-18 [patent_title] => Pre-Processing for Automatic Topographic Feature Extraction [patent_app_type] => utility [patent_app_number] => 18/118907 [patent_app_country] => US [patent_app_date] => 2023-03-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7907 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 191 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18118907 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20274390 [patent_doc_number] => 12444173 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-10-14 [patent_title] => Image component generation based on application of iterative learning on autoencoder model and transformer model [patent_app_type] => utility [patent_app_number] => 18/177084 [patent_app_country] => US [patent_app_date] => 2023-03-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 14 [patent_figures_cnt] => 14 [patent_no_of_words] => 13262 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 4 [patent_words_short_claim] => 166 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18177084 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18455458 [patent_doc_number] => 20230196739 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-06-22 [patent_title] => MACHINE LEARNING DEVICE AND FAR-INFRARED IMAGE CAPTURING DEVICE [patent_app_type] => utility [patent_app_number] => 18/173820 [patent_app_country] => US [patent_app_date] => 2023-02-24 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 3256 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -3 [patent_words_short_claim] => 90 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18173820 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19835228 [patent_doc_number] => 20250087014 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-03-13 [patent_title] => METHOD AND SYSTEM FOR DETECTING A VITAL SIGN [patent_app_type] => utility [patent_app_number] => 18/729047 [patent_app_country] => US [patent_app_date] => 2023-02-14 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10929 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -15 [patent_words_short_claim] => 66 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18729047 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19137700 [patent_doc_number] => 11972671 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-04-30 [patent_title] => System and method for pre-drowning and drowning detection [patent_app_type] => utility [patent_app_number] => 18/168137 [patent_app_country] => US [patent_app_date] => 2023-02-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 24 [patent_figures_cnt] => 24 [patent_no_of_words] => 16948 [patent_no_of_claims] => 15 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 112 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18168137 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18455457 [patent_doc_number] => 20230196738 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-06-22 [patent_title] => METHODS AND APPARATUS FOR RECOGNIZING PRODUCE CATEGORY, ORGANIC TYPE, AND BAG TYPE IN AN IMAGE USING A CONCURRENT NEURAL NETWORK MODEL [patent_app_type] => utility [patent_app_number] => 18/167418 [patent_app_country] => US [patent_app_date] => 2023-02-10 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7028 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 112 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18167418 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20203695 [patent_doc_number] => 12406478 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-09-02 [patent_title] => Generating strong labels for examples labelled with weak labels [patent_app_type] => utility [patent_app_number] => 18/166095 [patent_app_country] => US [patent_app_date] => 2023-02-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 12 [patent_no_of_words] => 4854 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 145 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18166095 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19130369 [patent_doc_number] => 20240135722 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-04-25 [patent_title] => METHOD FOR LEVERAGING SHAPE INFORMATION IN FEW-SHOT LEARNING IN ARTIFICIAL NEURAL NETWORKS [patent_app_type] => utility [patent_app_number] => 18/165857 [patent_app_country] => US [patent_app_date] => 2023-02-07 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5147 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -15 [patent_words_short_claim] => 98 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18165857 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20014021 [patent_doc_number] => 20250152243 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-05-15 [patent_title] => PROCESS AND SYSTEM FOR THREE-DIMENSIONAL MODELLING OF TISSUE OF A SUBJECT, AND SURGICAL PLANNING PROCESS AND SYSTEM [patent_app_type] => utility [patent_app_number] => 18/834607 [patent_app_country] => US [patent_app_date] => 2023-01-31 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 12891 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -4 [patent_words_short_claim] => 69 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18834607 [rel_patent_id] =>[rel_patent_doc_number] =>)